J. Torres-Sospedra – Researcher

About Me

Joaquin Torres-Sospedra is a postdoctoral researcher at the University of Valencia under the GEN-T (CIDEGENT) program. He joined Valencia after two years at the Universidade do Minho (Guimarães, Portugal) under the Individual Fellowship program of the H2020 Marie Sklodowska Curie Actions (H2020-MSCA-IF). His research interests focus on: machine learning, pattern recognition, indoor positioning & navigation, robotics, and interoperability. He completed his doctoral thesis in the Neural Networks and Soft Computing group (2003-2010) with a training grant funded by the Universitat Jaume I. His work focused on the development of classification systems based on "ensembles" and their efficient combination. In 2010-2012 he worked in other research groups applying his knowledge in other contexts and projects: Robotic Intelligence Lab (2010-2011) and Knowledge Engineering Group (2012). In May 2013, he joined the Geospatial Technologies Research Group of the Universitat Jaume I, where he led R&D projects related to indoor positioning systems (2013-2019). From January 2020 to August 2021, he was technical director and sole administrator at the company "UBIK Geospatial Solutions S.L.", leading the line of research in indoor positioning and navigation and managing all its projects. In the 2020 call, the project proposed by Joaquín, ORIENTATE, obtained the maximum score (100 points) in the prestigious H2020-MSCA-IF call. In recent months, he has participated in project proposals for the Portuguese FCT (IC&DT), the Spanish MICINN, and Horizon Europe (HORIZON-RIA & Doctoral Networks). Currently, he is the PI of three projects: POSITIONATE (GEN-T, Generalitat Valenciana), ROBOSAT (PCI2025-1, AEI), and CHASER (CHISTERA, ERA-NETWORKS).

He collaborates with various national research groups working on positioning, localization and navigation -Universitat Oberta de Catalunya, Higher Council for Scientific Research (CSIC), University of Alcalá and University of Extremadura- and international -University of Minho (Portugal), Centro de Computaçao Gráfica (Portugal), Tampere University (Finland), Consiglio Nazionale delle Ricerche (Italy), University of Antwerpen (Belgium), University of Jyväskylä (Finland), Universite Gustav Eiffel (France), ETHZ (Switzerland), AALTO University (Finland), INRIA (France), among others. Some of these collaborations have been formalized by the Spanish networks of excellence REPNIN and REPNIN+, by the Erasmus+ program, and by the European networks GEO-C and A-WEAR (H2020-MSCA-EJD). It should be noted that the collaboration not only includes research groups, but also R&D&I centers with the aim of transferring and commercializing technological developments. He has been a co-author of 78 publications in journals (41 Q1, 16 Q2), 144 publications in conferences, and 3 book chapters, many of them the result of collaboration with other research groups. He has co-edited the book 'Using Geographical and Fingerprinting Data to create Systems for Indoor Positioning and Indoor/Outdoor Navigation: Challenges, Experiences and Technology Roadmap' for Elsevier. Since 2013, the impact of his publications has grown significantly, with ~6700 citations (h-index:38; I10:103) in Google Scholar, being one of the leading European authors in "Indoor Localization" according to Scopus.

He has served as a program committee and/or reviewer for various conferences such as "International Conference on Intelligent Computing", "International Conference on Indoor Positioning and Indoor Navigation (IPIN)", "International Joint Conference on Neural Networks" or "International Conference on Localization and GNSS (ICL-GNSS)" where he has been a member of the Steering Committee since 2020. He is the co-organizer of the annual international competition developed at the IPIN congress since 2015. He has been a co-organizer of the IPIN conferences in Lloret de Mar (2021), Nuremberg (2023), and Tampere (2025); and ICL-GNSS 2020-21-22 in Tampere and ICL-GNSS 2023 in Castellón. He has been part of 13 doctoral thesis juries (2 of them as president) and has successfully supervised 14 undergraduate students, 44 Master's students, and 7 Doctoral students. He is currently co-supervising 4 undergraduate, 7 master's, and 6 PhD students.

Finally, Joaquín has co-edited several Special Issues, reviewed 500+ magazine articles (see profile on Publons), and handled over 5000 journal manuscripts as editor. Currently, he is Senior Editor in the prestigious "Expert Systems with Applications" (Elsevier) and in "IEEE Journal on Indoor and Seamless Positioning and Navigation".

Current Positions

2024 - present

Universitat de València

Distinguished Researcher

2024 - present

Valencian Graduate School and Research Network of Artificial Intelligence (ValgrAI)

Member of the Joint Research Unit | UV's representative

2023 - present

Elsevier - Expert System with Applications

Senior Editor

2020 - present

Universitat Oberta de Catalunya

Master Thesis Supervisor

Past Positions

2023-2023

Universitat Jaume I

Invited Professor

2021 - 2023

Universidade do Minho

MSCA Postdoctoral Fellow

2020-2021

Universitat Jaume I

Invited Professor

2020-2021

UBIK Geospatial Solutions S.L.

Head of Research | Manager

2013-2019

Universitat Jaume I (Geospatial Technologies Research Group)

Postdoctoral Researcher

2012-2012

Universitat Jaume I (Knowledge Engineering Group)

Researcher

2003-2011

Universitat Jaume I (Neural Networks & Soft Computing)

Predoctoral Researcher

Statistics

20+

Years in Research

220+

Scientific Articles

H-Index

6900+

Citations

500+

Verified Reviews

7000+

Editor Records

4.20+

Million € Raised

88+

Happy Students

Mobility Assistance for Visually impaired People through Collaborative Acoustic Positioning (MAPV)

Funding entity: ANR JCJC program

Project code: ANR-25-CE22-1631-01

Project dates: 2026/02/01 - 2030/01/31

Project Budget: 400.000,00 (UGE) | 0,00 (UV)

The primary aim of MAPV is to enhance the quality of life of visually impaired people (VIP) by enabling independent, accurate, and safe mobility in complex environments, while preserving user privacy. To achieve this, MAPV explores a collaborative, AI-driven, sound-based positioning approach that:

Does not rely on intrusive infrastructure
Avoids vision-based sensing
Integrates acoustic data from multiple mobile devices and nearby users
Enhances spatial orientation and landmark identification through AI-based environmental sound recognition

Special attention is given to minimizing sound invasiveness for visually impaired users and guide dogs, while ensuring high positioning accuracy, strong privacy protection, and reliable collaboration between mobile devices.

Project URL: https://geoloc.univ-gustave-eiffel.fr/la-recherche/projets-de-recherche/en-cours/mpav
Contact: Pavel Pascacio de los Santos

ROBOSAT - Autonomous robot navigation in the wild using satellite-based 3D geographical information

Funding entity: Agencia Estatal de Investigación (Programa Proyectos de Colaboración Internacional) | CHIST-ERA IV 2023

Project code: PCI2025-163241

Project dates: 2025/04/01 - 2028/03/31

Project Budget: 1.078.359,00 (Global) | 173.750,00 (UV)

Massive collection of multidimensional satellite-based 3D geographic information systems (GIS) is now a reality. Yet the correlation of such data with local information, especially in unconstrained environments such as in the wild, is a poorly addressed challenge so far. Our project aims to provide a scalable MultiGIS high-quality data collection platform through the use of a quadrupedal robot that can autonomously perform long-distance missions in challenging environments (e.g., Swiss Alps and Finnish forests). By mounting a multi-modal sensor setup that includes cameras, LiDARs, IMUs, GNSS, and an I/Q raw data grabber on the robot, we enable the consistent and repeatable collection of local data that can be combined with GIS. Our project will also develop general-purpose and automatic tools for multi-sensor data storage, data management, data consolidation, and data labelling based on Artificial Intelligence (AI) / Machine Learning (ML) algorithms and will look into solutions for efficient data use and dissemination. We will show the benefits of this MultiGIS database and of our robotic platform by using them to develop and improve the Global Navigation Satellite Systems (GNSS) localization algorithms. There is a two-fold benefit, as the integration of GIS data into GNSS will enable us to detect and attenuate the effect of various interferences (e.g., multipath, jamming, spoofing), and, at the same time, the improvement of GNSS-based solutions will provide us with better location estimates to more accurately label and fuse GIS data. This project will lay the foundations for ubiquitous robots in the wild with improved GNSS localization services as well as for a MultiGIS database for unstructured environments that is to be an order of magnitude larger than any of the currently existing ones.

POSITIONATE - Pervasive Indoor Positioning in Smart Factories

Funding entity: Generalitat Valenciana, Spain

Project code: CIDEXG/2023/17

Project dates: 2024/01/01 - 2027/12/31

Project Budget: 607.390,00 € (UV)

Indoor positioning (IP) will play a central role in industry 4.0 by assisting unmanned vehicle navigation or tracking goods within the value chain. POSITIONATE will progress the knowledge regarding the capabilities and limitations of IP, with a particular interest in industrial environments. The project plans to gather relevant information from prototype development to technology transfer for its exploitation. The final goal is to advance state of the art, developing a new IP solution that balances technical (accuracy) and resources (scalability) restrictions and a novel sensor fusion method to dynamically combine different IP technologies improving their individual coverage. Also, we want to be a neutral institution leading to IP evaluation.

CHASER - Channel Charting as a Service

Funding entity: CHIST-ERA IV 2023

Project code: -

Project dates: 2023/10/01 - 2026/09/30

Project Budget: 924.543,0 € (Global) | 0 € (UMinho)

Channel charting (CC) is an emerging application of self-supervised machine learning (ML) to wireless communication which leverages the fact that wireless communications systems continuously collect data about the electromagnetic propagation channel. This data, known as channel state information (CSI), is high-dimensional and acquired at fast rates but typically discarded immediately after use. In contrast, CC recycles acquired CSI data by means of dimensionality reduction (DR) to learn a so-called channel chart. This channel chart is essentially a low-dimensional representation of the CSI with the salient property that users who are close in the channel chart are also close in physical space. Put simply: CC is a method that produces a pseudo-location with no recourse to classical positioning methods, potentially opening up a range of location-based applications to operate with significantly reduced overhead. Real-world experiments in single base-station scenarios have demonstrated the practical viability of CC. Despite these encouraging preliminary results, it is unclear whether CC can generate pseudo-location information at the radio access network (RAN) scale (e.g., for multiple base stations) with sufficient quality to replace true location information for certain location-based services and applications. The objective of this project is to develop methods and algorithms allowing to implement network-wide CC, develop its predictive capabilities when applied to real-world use cases with heterogeneous users and dynamically changing environments in which CSI may be affected by changes in the electromagnetic propagation environment. With the ultimate goals of developing CC into a robust and versatile pseudo-positioning method and of enhancing the expressivity of the channel chart beyond merely replacing location information to serve as a general basis for context-based services, we envision channel charting as a service (CaaS), which assists a number of network functions and user-level applications with a CC-based pseudo-location management architecture accessible through a dedicated application programming interface. To achieve these goals, we will perform fundamental research on the algorithm and implementation levels, validate our solutions by gathering long-term CSI measurements in dynamically changing environments, and optimize CaaS for radio resource management (RRM) in RAN. The project will lift CC from technology readiness level (TRL) 3 to TRL 4.

Past projects

Go to Current Projects
Go to Past Projects

ORIENTATE - Low-cost Reliable Indoor Positioning in Smart Factories (MSCA-IF)

Funding entity: H2020-MSCA

Project code: GRANT AGREEMENT NO.101023072

Project dates: 2021/09/01 - 2023/08/31

Project Budget: 159.815,04 € (Uminho)

Indoor positioning (IP) will play a central role in industry 4.0 by assisting unmanned vehicle navigation or tracking goods within the value chain. However, some disadvantages prevent the usage of technologies with the technical requirements for IP in industrial environments. Also, the variations in scenarios used in empirical assessment exclude the direct comparison of existing IP technologies. The EU-funded ORIENTATE project will address this issue with a new scalable high-accuracy solution. It will integrate multiple IP technologies to create an open assessment structure. The project’s solution is based on visible-light communications principles, processing data provided by other positioning modules with neural networks and local outlier factors, and coding trusted positioning information as hyperspectral images.

Lab4U&Spaces - Living Lab of Interactive Urban Space Solutions

Funding entity: FEDER

Project code: NORTE-01-0145-FEDER-000072

Project dates: 2021/04/01 - 2023/06/30

Project Budget: 495.910,42 € (Uminho)

Lab4U&Spaces project presents three converging research lines, to promote sustainable and safe urban space solutions and enhance interaction and mobility. The project will benefit from the strong competencies of the three research lines, bridging the gap between urban intelligence and physical, virtual and digital elements, and sharing the commitment with developing added value products to drive new uses of urban spaces. The contribution to the project will focus on the development of Indoor Positioning solutions enabling smart mobility.

MODERATE - Marketable Open Data Solutions for Optimized Building-Related Energy Services

Funding entity: HORIZON-CL5-2021-D4-01

Project code: GRANT AGREEMENT NO.101069834

Project dates: 2022/06/01 - 2026/05/31

Project Budget: 4.998.612,00 € (Global) | - 107.275,00 € (UBIK G.S.)

MODERATE will develop an open platform, embracing leading-edge technologies, such as artificial intelligence (AI), machine learning (ML), blockchain/distributed ledger technologies, the internet of things (IoT), and many more. This platform will enable its users to analyze real-time building data from various building systems and provide insight into the many dimensions of a building's performance. The use of synthetic data generation techniques, not yet widely applied in the construction industry, is one of the elements that allow open data sharing, enabling more reliable services and generating business opportunities.

re-MODULEES - the Retrofitting Market Activation Platform based on the generation of standard modules for energy efficiency and clean energy solutions

Funding entity: H2020-LC-SC3-EE-2020-1

Project code: GRANT AGREEMENT NO.955529

Project dates: 2022/11/01 - 2024/04/30

Project Budget: 2.099.518,75 € (GLOBAL) | 131.250,00 € (UBIK G.S.)

The building sector is the single largest energy consumer in Europe. Within its 2030 climate and energy framework, the EU has committed to improving the energy performance of buildings. Since three quarters of today’s buildings will still exist in 2050, the key to a low carbon building stock is to renovate. The EU-funded re-MODULEES project will develop an EU-wide umbrella platform for the renovation of existing EU residential buildings. re-MODULEES is based on EU-wide umbrella framework clustering efforts and aims at shaping cross-regional market activation policies. As such, the project will strategically leverage other EU-funded projects' knowledge and solutions to customise their market uptake according to regional climatic, building and socio-economic conditions. re-MODULEES aims at the creation of an EU-wide “umbrella” framework for EE in existing residential buildings based on the generation of standard modules for the retrofit market activation and up-take. Modularity is to be intended as multi-level: it regards the “breakdown” of the overall retrofit process into standardized segments; and multi-target: it regards their customization according to regional climatic, building, socio-economic and market conditions, in order to shape more effective tools and approaches through which to maximise cost-optimality, positive spillovers and impact. This framework is based on clustering of efforts and evidences, and would allow shaping cross-regional policies, and generating wider homogeneous, integrated and facilitated retrofitting market areas. For this reason, re-MODULEES aims to be a strategic capitalization project which, by leveraging on the wide background of several H2020 projects (as well as from other EU programs), will join and combine knowledge, approaches and tools already available within its clear modular framework, so to optimize their uptake on local markets.

INSIGNIA - Sistemas de PosicionamIento en INteriores y ExterioreS - InteGración CoNfIable y SegurA en Dispositivos Inteligentes

Funding entity: Agencia Estatal de Investigación (Programa Torres-Quevedo)

Project code: PTQ2018-009981

Project dates: 2020/01/01 - 2021/08/31

Project Budget: 83.160,00 (UBIK G.S.)

The INSIGNIA project developed a context-aware Hybrid Positioning System capable of seamlessly providing indoor and outdoor location by integrating multiple positioning technologies. It focused particularly on improving indoor positioning methods such as Wi-Fi fingerprinting, BLE beacons, magnetic field positioning, and Pedestrian Dead Reckoning. In addition, the project delivered a customizable, privacy-aware positioning API designed to facilitate offline-capable integration into third-party commercial applications, addressing the challenges posed by the lack of standardization in data fusion across heterogeneous positioning sources.

A-WEAR - A network for dynamic WEarable Applications with pRivacy constraints

Funding entity: H2020-MSCA

Project code: GRANT AGREEMENT NO.813278

Project dates: 2019/01/01 - 2023/06/30

Project Budget: 3.762.325,80 € (GLOBAL) | 752.714,64 € (UJI)

he project "A network for dynamic WEarable Applications with pRivacy constraints" (A-WEAR) is a four year (2019-2022) H2020 Marie Sklodowska-Curie (MSCA) Innovative Training Network (ITN)/European Joint Doctorate (EJD) for bringing together 5 academic beneficiaries and 12 partner organizations from Finland, Czech Republic, Italy, Romania, and Spain, with the aim of educating, supervising, and training 15 young ambitious and creative researchers to face the future challenges in smart wearables and wireless computing and enhance their career prospects by training them in a multi-sector cross-country environment and teaching them to think globally. The emerging market of wearables is expected to grow exponentially in the near future, driven by the sales increase of smart clothes, watches, and eyeglasses. The future wearables are likely to be heterogeneous, operating on batteries, sun power or human motion, and endowed with smart functions. They will co-operate in a decentralized manner with each other and will be able to reach various interconnected software and applications. The main stream wearable-based architecture has been applied so far in wellbeing industries, such as eHealth or ambient assisted living, which might also reduce the costs for care and guarantee a healthy independent live in the forthcoming older society. As the digitalisation and data-based economy are growing, the exploitation potential of the wearables can easily be expected to increase. Key wearables stakeholder groups in the future are also smart cities, comprising intelligent building industry and infrastructure, energy-efficient smart grid sector, public e-Services, and smart transport. Motivated by the opportunities that next-generation wearable intelligence is expected to provide, the mission of A-WEAR action is to cross-disciplinarily create new architectures, open-source software and frameworks for dynamic wearable ecosystems, with distributed localization and privacy constraints. We aim at building new joint/double European doctoral programmes to train a new generation of young researchers in order to be aware of, to cope with, and to disseminate to a large audience the vulnerabilities and the corresponding solutions of the communication and positioning through wearables. The impact of A-WEAR will be to enhance the future social well-being, to contribute to an easy living, effective and enjoyable work, and to offer new solutions to the challenges of violation of privacy by communication and positioning through wearables and to the need of applying the right of the ownership to one’s data. Mentored and co-supervised Students:

ESR05: Cloud Platform for context-adaptive positioning and localization on wearable devices
ESR06: Collaborative techniques for infrastructureless Indoor Positioning Systems
ESR07: Urban Mobility: balancing usefulness and privacy
ESR15: New Architecture, communication and networking protocols for supporting 5G-IoT wearable devices connectivity

Prototipo de asistente virtual basado en geolocalización para visitas guiadas en museos

Funding entity: Agencia Valenciana de la Innovació

Project code: INNVAL10/18/049

Project dates: 2018/01/01 - 2018/12/01

Project Budget: 44.160,00 € (UJI)

The main objective of the project is to develop a prototype of an open platform to manage geo-referenced contents. This platform is intended to support smartphone-based virtual assistants in museums where the GNSS coverage is limited by means of Wi-Fi fingerprinting methods and/or BLE beacons. This project is considered as a demonstrator in a real scenario of the technologies and developments done at the Geospatial Reserach Group.

Metodologías avanzadas para el diseño,desarrollo, evaluación e integración de algoritmos de localización en interiores.

Funding entity: Agencia Estatal de Investigación (Subprograma Estatal de Generación del Conocimiento)

Project code: TIN2015-70202-P

Project dates: 2016/01/01 - 2018/12/31

Project Budget: 49.100,00 € (UJI)

Project funded by the Spanish Ministry of Economics and Competitiveness. One of its objectives is the developement of the IndoorLocPlatform, which is an open platform for the development, implementation, evaluation and comparison or different methods and strategies for indoor positioning and navigation.

Geo-C: Joint Doctorate in Geoinformatics: Enabling Open Cities

Funding entity: H2020-MSCA

Project code: GRANT AGREEMENT NO.642332

Project dates: 2015/01/01 - 2018/12/31

Project Budget: 3 676 092,26 € (GLOBAL) | 1.239.364,80 (UJI)

Books

Geographical and Fingerprinting Data for Positioning and Navigation Systems

Challenges, Experiences and Technology Roadmap

1st Edition

Editors: Jordi Conesa, Antoni Pérez-Navarro, Joaquin Torres-Sospedra and Raul Montoliu
Paperback ISBN: 9780128131893
Imprint: Academic Press
Published Date: 1st August 2018
Page Count: 420

URL: https://www.elsevier.com/books/geographical-and-fingerprinting-data-for-positioning-and-navigation-systems/conesa/978-0-12-813189-3

Ensembles of Artificial Neural Networks: Analysis and Development of Design Methods

Author: Joaquín Torres-Sospedra

Ph.D. Programme: Programa de Doctorado en Sistemas Inteligentes

Defence date: September 30th, 2011

Handle: http://hdl.handle.net/10803/48638
PDF: http://www.tdx.cat/bitstream/handle/10803/48638/jtorres.pdf?sequence=1

Book Chapters

2019

Antoni Pérez-Navarro, Joaquín Torres-Sospedra, Raul Montoliu, Jordi Conesa, Rafael Berkvens, Giuseppe Caso, Constantinos Costa, Nicola Dorigatti , Noelia Hernández, Stefan Knauth, Elena Simona Lohan, Juraj Machaj, Adriano Moreira, Pawel Wilk Challenges of Fingerprinting in Indoor Positioning and Navigation Geographical and Fingerprinting Data to Create Systems for Indoor Positioning and Indoor/Outdoor Navigation pp. 1-20, 2019.

Joaquín Torres-Sospedra, Óscar Belmonte-Fernández, Germán M. Mendoza-Silva, Raul Montoliu, Adrián Puertas-Cabedo, Luis E. Rodríguez-Pupo, Sergio Trilles, Andrea Calia, Mauri Benedito-Bordonau, Joaquín Huerta Lessons Learned in Generating Ground Truth for Indoor Positioning Systems Based on Wi-Fi Fingerprinting Geographical and Fingerprinting Data to Create Systems for Indoor Positioning and Indoor/Outdoor Navigation pp. 45-67, 2019.

Raul Montoliu, Emilio Sansano-Sansano, Joaquín Torres-Sospedra, Óscar Belmonte-Fernández IndoorLoc Platform: A Web Tool to Support the Comparison of Indoor Positioning Systems Geographical and Fingerprinting Data to Create Systems for Indoor Positioning and Indoor/Outdoor Navigation pp. 225-247, 2019.

Journal publications

50%

24.39%

4.88%

3.66%

17.07%

2026

JCR Q2 (2024) Pandey, A.; Zeeshan, M.; Torres-Sospedra, J.; Kumar, A.; Kumar, S. Edge-Assisted Domain Adaptive RFID Sensing for Localization and Activity Recognition IEEE Journal of Radio Frequency Identifications Vol. (-), 2026. Accepted for publication

JCR Q2 (2024) Santamaria-Pedrón, J.C.; Berkvens, R.; Miralles, I.; Reaño, C.; Torres-Sospedra, J. Machine Learning Integration in Ultra-Wideband-Based Indoor Positioning Systems: A Comprehensive Review Sensors Vol. 15, 2026.

2025

JCR Q2 (2024) Martín-Frechina, S.; Dura, E.; Miralles, I.; Torres-Sospedra, J. From Fingerprinting to Advanced Machine Learning: A Systematic Review of Wi-Fi and BLE-Based Indoor Positioning Systems Sensors Vol. 25, 2025.

JCR Q2 (2024) Díaz-Jiménez, D.; López Ruiz, J.L.; Cuevas-Martínez, J.C.; Torres-Sospedra, J.; Navarro, E.A.; Espinilla Estévez, M. BLE-Based Custom Devices for Indoor Positioning in Ambient Assisted Living Systems: Design and Prototyping Sensors Vol. 25, 2025.

JCR Q2 (2024) Lisik, D. ; Ahmar Shah, S. ; Basna, R. ; Dinh, T. ; Browne, R. P.; Andrews, J. L.; Wallace, M. L.; Ezugwu, A. E.; Marušić, A. ; Tran, D. ; Torres-Sospedra, J. ; Hieu-Chi Dam; Fournier-Viger, P. ; Hennig, C. ; Timmerman, M. E.; Warrens, M. J.; Ceulemans, E. ; Nwaru, B. I.; and Hernandez-Boussard, T. Protocol for development of a checklist and guideline for transparent reporting of cluster analyses (TRoCA) BMJ Open (in press), 2025.

Others (2024) Dinh, T.; Wong, H.; Lisik, M.; Koren, M.; Tran, D.; Yu, P. S.; and Torres-Sospedra, J. Data clustering: a fundamental method in data science and management Data Science and Management (accepted), 2025.

JCR Q1 (2024) Zeeshan, M.; Raj. R.; Anand, A.; Pandey, A.; Tabrez Quasim, M.; and Torres-Sospedra, J. Knowledge Distillation-Based AIoT Framework for Efficient Wireless Gesture Sensing in B5G/6G Networks IEEE Network Vol. 175, 103862, 2025.

Others Anagnostopoulos, G.C; Barsocchi, P.; Crivello, A.; Pendão, C.; Silva, I.; and Torres-Sospedra, J. Comprehensive Assessment of Open Science Practices in Indoor Positioning: Open Data, Code and Material IEEE Journal of Indoor and Seamless Positioning and Navigation Vol. 175, 103862, 2025.

JCR Q1 (2024) Brunello, A.; Montanari, A.; Montoliu, R.; Moreira, A.; Saccomanno, N.; Sansano-Sansano, E.; and Torres-Sospedra, J. Time matters: Empirical insights into the limits and challenges of temporal generalization in CSI-based Wi-Fi sensing Internet of Things (Elsevier) Vol. 32, 101634, 2025.

JCR Q1 (2024) Chukhno, N.;, Bravenec, T.; Díez-González, J.; Trilles, S.; Torres-Sospedra, J.; Iera, A., Araniti, G. Are D2D and RIS in the same league? Cooperative RSSI-based localization model and performance comparison Ad Hoc Networks (Elsevier) Vol. 175, 103862, 2025.

JCR Q1 (2024) Ferrero-Guillén, R.; Díez-González, J.; Álvarez, R.; Torres-Sospedra, J.; Perez, H.; and Moreira A. Asynchronous time-based indoor localization systems-Comparative analysis under realistic industrial-oriented conditions Ad Hoc Networks (Elsevier) Vol. 173, 103816, 2025.

JCR Q1 (2024) Ferrero-Guillén, R.; Díez-González, J.; Martínez-Gutiérrez, A.; Perez, H.; Torres-Sospedra, J.; and Moreira A. Comparing synchronous and asynchronous UWB time-based localization systems for Autonomous Mobile Robots Neurocomputing Vol. 629, 129622, 2025.

JCR Q1 (2024) Anagnostopoulos, G.C; Barsocchi, P.; Crivello, A.; Pendão, C.; Silva, I.; and Torres-Sospedra, J.; ORDIP: Principle, Practice and Guidelines for Open Research Data in Indoor Positioning Internet of Things (Elsevier) Vol. 30, 101485, 2025.

2024

JCR Q1 Klus, R.; Talvitie, J.; Torres-Sospedra, J.; Quezada-Gaibor, D.; Casteleyn, S.; Cabric, D.; and Valkama, M. C2R: A Novel Architecture for Boosting Indoor Positioning With Scarce Data IEEE Internet of Things Journal (IEEE) Vol, 11(20), pp. 32868-32882, 2024.

JCR Q1 Kumar, R.; Torres-Sospedra, J.; and Chaurasiya, V.K. H2LWRF-PDR: An efficient indoor positioning algorithm using a single Wi-Fi access point and Pedestrian Dead Reckoning Internet of Things (Elsevier) Vol. 27, p.101271, 2024.

JCR Q3 Klus, L.; Klus, R.; Lohan, E.S.; Nurmi, J.; Granell, C.; Valkama, M.; Talvitie, J.; Casteleyn, S.; Torres-Sospedra, J. TUJI1 Dataset: Multi-device dataset for indoor localization with high measurement density Data in Brief (Elsevier) in press, 2024.

JCR Q1 Díez-González, J.; Ferrero-Guillén, R.; Verde, P.; Martínez-Gutiérrez, A.; Álvarez, R.; Torres-Sospedra, J. Time-based UWB localization architectures analysis for UAVs positioning in industry Ad Hoc Networks (Elsevier) Vol. 157, p.103419, 2024.

Others Potortì, F.; Crivello, A.; Lee, S.; Vladimirov, B.; Park, S.; Chen, Y.; Wang, L.; Chen, R.; Zhao, F.; Zhuge, Y.; Luo, H.; Perez-Navarro, A.; R. Jiménez, A.; Wang, H.; Liang, H.; De Cock, C.; Plets, D.; Cui, Y.; Xiong, Z.; Li, X.; Ding, Y.; Álvarez Franco, F.J.; Aranda Polo, F.J.; Parralejo Rodríguez, F.; Moreira, A.; Pendão, C.; Silva, I.; Ortiz, M.; Zhu, N.; Li, Z.; Renaudin, V.; Wei, D.; Ji, X.; Zhang, W.; Wang, Y.; Ding, L.; Kuang, J.; Zhang, X.; Dou, Z.; Yang, C.; Kram, S.; Stahlke, M.; Mutschler, C.; Coene, S.; Li, C.; Venus, A.; Leitinger, E.; Tertinek, S.; Witrisal, K.; Wang, Y.; Wang, S.; Jin, B.; Zhang, F.; Su, C.; Wang, Z.; Li, S.; Li, X.; Li, S.; Pan, M.; Zheng, W.; Luo, K.; Ma, Z.; Gao, Y.; Chang, J.; Ren, H.; Guo, W.; Torres-Sospedra, J.; Offsite evaluation of localization systems: criteria, systems and results from IPIN 2021-22 competitions IEEE Journal of Indoor and Seamless Positioning and Navigation Vol. 2, 2024.

2023

Others Bravenec, T., Torres-Sospedra, J., Gould M. and Fryza T., UJI Probes Revisited: Deeper Dive Into the Dataset of Wi-Fi Probe Requests IEEE Journal of Indoor and Seamless Positioning and Navigation Vol. 1, pp. 221-230, 2023.

JCR Q2 Silva , I.; Pendão, C.; Torres-Sospedra, J.; Moreira, A. Industrial Environment Multi-Sensor Dataset for Vehicle Indoor Tracking with Wi-Fi, Inertial and Odometry Data MDPI Data 8 (10), 2023.

JCR Q1 Pascacio, P. and Torres-Sospedra, J. and Casteleyn, S. and Lohan, E.S. and Nurmi, J. L/F-CIPS: Collaborative Indoor Positioning for Smartphones With Lateration and Fingerprinting IEEE Sensors Journal Vol.23 (20), 2023.

Others Quezada-Gaibor, D.; Klus, L.; Klus, R.; Lohan, E.S.; Nurmi, J.; Valkama, M.; Huerta, J.; and Torres-Sospedra, J. Auto-Encoder Extreme Learning Machine for Fingerprint-Based Positioning: A Good Weight Initialization is Decisive IEEE Journal of Indoor and Seamless Positioning and Navigation Vol. 1, 2023.

JCR Q1 Bravenec, T.; Gould, M.; Fryza, T.; and Torres-Sospedra, J.; Influence of Measured Radio Map Interpolation on Indoor Positioning Algorithms IEEE Sensors Journal Vol.23 (17), 2023.

JCR Q1 Pérez-Navarro, A.; Montoliu, R.; Sansano-Sansano, E.; Martínez-Garcia, M.; Femenia, R.; and Torres-Sospedra, J.; Accuracy of a single position estimate for kNN-based fingerprinting indoor positioning applying error propagation theory IEEE Sensors Journal Vol.23 (16), 2023.

JCR Q1 Klus, L.; Klus, R.; Torres-Sospedra, J.; Lohan, E.S.; Granell, C.; and Nurmi, J. EWOk: Towards Efficient Multidimensional Compression of Indoor Positioning Datasets IEEE Transactions on Mobile Computing (in press), 2023.

JCR Q1 Casanova-Marques, R.; Torres-Sospedra, J.; Hajny, J.; and Gould, M. Maximizing privacy and security of collaborative indoor positioning using zero-knowledge proofs Elsevier Internet of Things 22, 2023.

JCR Q1 Torres-Sospedra, J.; Quezada-Gaibor, D.; Nurmi, J.; Koucheryavy, Y.; Lohan, E.S.; Huerta, J. Scalable and Efficient Clustering for Fingerprint-Based Positioning IEEE Internet of Things 10 (4), 2023.

2022

JCR Q2 Gutiérrez, J.D.; Jiménez, A.R.; Seco, F.; Álvarez, F.J.; Aguiler, T.; Torres-Sospedra, J.; Melchor, F.; GetSensorData: An extensible Android-based application for multi-sensor data registration SoftwareX (Elsevier) 19, 2022.

JCR Q2 Bellavista-Parent, V.; Torres-Sospedra, J.; Perez-Navarro A.; Comprehensive Analysis of Applied Machine Learning in Indoor Positioning Based on Wi-Fi: An Extended Systematic Review Sensors 22(12), 2022.

JCR Q1 Pascacio, P.; Torres-Sospedra, J.; Jimenez, A. R.; Casteleyn, S.; Mobile device-based Bluetooth Low Energy Database for range estimation in indoor environments Scientific Data (Nature) 9 (281), 2022.

JCR Q1 Silva, I.; Pendão, C.; Torres-Sospedra, J. and Moreira, A. TrackInFactory: A Tight Coupling Particle Filter for Industrial Vehicle Tracking in Indoor Environments IEEE Transactions on Systems, Man, and Cybernetics: Systems, 52 (7), pp. 4151-4162, 2022.

#1/63 in SCIE: AUTOMATION & CONTROL SYSTEMS (2020)

#1/23 in SCIE: COMPUTER SCIENCE, CYBERNETICS (2020)

JCR Q1 Chukhno, N.; Trilles, S.; Torres-Sospedra, J.; Iera A.; and Araniti, G. D2D-based Cooperative Positioning Paradigm for Future Wireless Systems: A Survey IEEE Sensors Journal, 22(6), pp. 5101-5112, 2022.

JCR Q1 Potortì, F.; Torres-Sospedra, J.; Quezada-Gaibor, D.; Jiménez, A.R.; Seco, F.; Pérez-Navarro, A.; Ortiz, M.; Zhu, N.; Renaudin, V.; Ichikari, R.; Shimomura, R.; Ohta, N.; Nagae, S.; Kurata, T.; Wei, D.; Ji, X.; Zhang, W.; Kram, S.; Stahlke, M.; Mutschler, C.; Crivello, A.; Barsocchi, P.; Girolami, M.; Palumbo, F.; Chen, R.; Wu, Y.; Li, W.; Yu, Y.; Xu, S.; Huang, L.; Liu, T.; Kuang, J.; Niu, X.; Yoshida, T.; Nagata, Y.; Fukushima, Y.; Fukatani, N.; Hayashida, N.; Asai, Y.; Urano, K.; Ge, W.; Lee, N.T.; Fang, S.H.; Jie, Y.C.; Young, S.R.; Chien, Y.R.; Yu, C.C.; Ma, C.; Wu, B.; Zhang, W.; Wang, Y.; Fan, Y.; Poslad, S.; Selviah, D.R.; Wang, W.; Yuan, H.; Yonamoto, Y.; Yamaguchi, M.; Kaichi, T.; Zhou, B.; Liu, X.; Gu, Z.; Yang, C.; Wu, Z.; Xie, D.; Huang, C.; Zheng, L.; Peng, A.; Jin, G.; Wang, Q.; Luo, H.; Xiong, H.; Bao, L.; Zhang, P.; Zhao, F.; Yu, C.A.; Hung, C.H.; Antsfeld, L.; Chidlovskii, B.; Jiang, H.; Xia, M.; Yan, D.; Li, Y.; Dong, Y.; Silva, I.; Pendão, C.; Meneses, F.; Nicolau, M.J.; Costa, A.; Moreira, A.; Cock, C.D.; Plets, D.; Opiela, M.; Džama, J.; Zhang, L.; Li, H.; Chen, B.; Liu, Y.; Yean, S.; Lim, B.Z.; Teo, W.J.; Lee, B.S.; Oh, H.L. Off-line Evaluation of Indoor Positioning Systems in Different Scenarios: The Experiences from IPIN 2020 Competition IEEE Sensors Journal, 22(6), pp. 5011-5054, 2022.

JCR Q1 Mendoza-Silva, G.; Costa, A. C.; Torres-Sospedra, J.; Painho, M. and Huerta, J. Environment-Aware Regression for Indoor Localization based on WiFi Fingerprinting IEEE Sensors Journal, 22(6), pp. 4978-4888, 2022.

JCR Q1 Torres-Sospedra, J.; Richter, P.; Moreira, A.; Mendoza-Silva, G.; Lohan, E.; Trilles, S.; Matey-Sanz, M. and Huerta, J. A Comprehensive and Reproducible Comparison of Clustering and Optimization Rules in Wi-Fi Fingerprinting IEEE Transactions on Mobile Computing, 21 (3), 2022.

JCR Q2 Quezada-Gaibor, D.; Torres-Sospedra, J.; Nurmi, J.; Koucheryavy, Y.; Huerta, J. Cloud Platforms for Context-Adaptive Positioning and Localisation in GNSS-Denied Scenarios — A Systematic Review Sensors Vol. 22, 2022.

2021

JCR Q1 Ometov, A.; Shubina, V.; Klus, L.; Skibińska, J.; Saafi, S.; Pascacio, P.; Flueratoru, L.; Gaibor, D.; Chukhno, N.; Chukhno, O.; Ali, A.; Channa, A.; Svertoka, E.; Qaim, W.; Casanova-Marqués, R.; Holcer, S.; Torres-Sospedra, J.; Casteleyn, S.; Ruggeri, G.; Araniti, G.; Burget, R.; Hosek, J. and Lohan, E.S. A survey on wearable technology: History, state-of-the-art and current challenges Computer Networks (Elsevier), 193, 2021.

JCR Q2 Torres-Sospedra, J.; Martínez-Salvador, B.; Campos Sancho, C. and Marcos, M. Process Model Metrics for Quality Assessment of Computer-Interpretable Guidelines in PROforma Applied Sciences (MDPI), 11(7), 2021.

JCR Q1 Marsh-Hunn, D.; Trilles, S.; González-Pérez, A.; Torres-Sospedra, J. and Ramos, F. A comparative study in the standardisation of IoT devices using geospatial web standards IEEE Sensors Journal, 21(4), 2021.

JCR Q2 Pascacio, P.; Casteleyn, S.; Torres-Sospedra, J.; Lohan, E. S.; and Nurmi, J. Collaborative Indoor Positioning Systems: A Systematic Review Sensors Vol. 21, 2021.

Editor's Choice Article in recognition of the outstanding publication

JCR Q1 Furfari, F.; Crivello, A.; Baronti, P.; Barsocchi, P.; Girolami, M.; Palumbo, F.; Quezada-Gaibor, D.; Mendoza Silva, G. M. and Torres-Sospedra, J. Discovering location based services: A unified approach for heterogeneous indoor localization systems Internet of Things (Elsevier) Vol. 70 -- 100334, 2021.

JCR Q1 Mendoza-Silva, G. M.; Torres-Sospedra, J.; Potortì, F.; Moreira, A.; Knauth, S.; Berkvens, R. and Huerta, J. Beyond Euclidean Distance for Error Measurement in Pedestrian Indoor Location IEEE Transactions on Instrumentation & Measurement Vol. 70, 2021.

2020

JCR Q1 Trilles, S.; Torres-Sospedra, J.; Belmonte-Fernández, O.; Javier Zarazaga-Soria, F.; González-Pérez, A. and Huerta J. Development of an open sensorized platform in a smart agriculture context: A vineyard support system for monitoring mildew disease Sustainable Computing, Informatics and Systems (Elsevier), 28, 2020.

JCR Q2 Potorti, F.; Park, S.; Palumbo, F.; Girolami, M.; Barsocchi, P.; Lee, S.; Torres-Sospedra, J.; Jimenez Ruiz, A. R.; Perez-Navarro, A.; Mendoza-Silva, G. M.; Seco, F.; Ortiz, M.; Perul, J.; Renaudin, V.; Kang, H.; Park, S. Y.; Lee, J. H.; Park, C. G.; Ha, J.; Han, J.; Park, C.; KIM, K.; Lee, Y.; GYE, S.; Lee, K.; Kim, E.; Choi, J.-S.; Choi, Y.-S.; Talwar, S.; Cho, S. Y.; Ben-Moshe, B.; Sansano, E.; Chidlovskii, B.; Kronenwett, N.; Prophet, S.; Landay, Y.; Marbel, R.; Peng, A.; Wu, B.; MA, C.; Poslad, S.; Selviah, D.; Wu, W.; Ma, Z.; Zhang, W.; Wei, D.; Yuan, H.; Jiang, J.-B.; Liu, J.-W.; Su, K.-W.; Leu, J.-S.; Nishiguchi, K.; Bousselham, W.; Uchiyama, H.; Thomas, D.; Shimada, A.; Taniguchi, R.-I.; Cortés, V.; Lungenstrass, T.; Ashraf, I.; Lee, C.; Usman Ali, M.; Im, Y.; Kim, G.; Eom, J.; Hur, S.; Park, Y.; Opiela, M.; Moreira, A.; Nicolau, M. J.; Pendão, C.; Silva, I.; Meneses, F.; Costa, A.; Trogh, J.; Plets, D.; Chien, Y.-R.; Chang, T.-Y.; Fang, S.-H.; Tsao, Y. The IPIN 2019 Indoor Localisation Competition - Description and Results IEEE Access Vol. 8, pp. 206674-206718, 2020.

Others Aranda, F.J.; Parralejo, F.; Álvarez, F.; Torres-Sospedra, J. Multi-Slot BLE Raw Database for Accurate Positioning in Mixed Indoor/Outdoor Environments Data Vol. 5(3), 2020.

JCR Q1 Khandker, J.; Torres-Sospedra, J.; Ristaniemi, T. Analysis of Received Signal Strength Quantization in Fingerprinting Localization Sensors Vol. 20(11), 2020.

2019

JCR Q1 Mendoza-Silva, G. M.; Torres-Sospedra, J.; and Huerta, J. A Meta-Review of Indoor Positioning Systems Sensors Vol. 19(20), 2019.

JCR Q1 Renaudin, V.; Ortiz, M.; Perul, J.; Torres-Sospedra, J.; Ramón Jimenez, A.; Pérez-Navarro, A.; Martín Mendoza-Silva, G.; Seco, F.; Landau, Y.; Marbel, R.; Ben-Moshe, B.; Zheng, X.; Ye, F.; Kuang, J.; Li, Y.; Niu, X.; Landa, V.; Hacohen, S.; Shvalb, N.; Lu, C.; Uchiyama, H.; Thomas, D.; Shimada, A.; Taniguchi, R.; Ding, Z.; Xu, F.; Kronenwett, N.; Vladimirov, B.; Lee, S.; Cho, E.; Jun, S.; Lee, C.; Park, S.; Lee, Y.; Rew, J.; Park, C.; Jeong, H.; Han, J.; Lee, K.; Zhang, W.; Li, X.; Wei, D.; Zhang, Y.; Park, S. Y.; Park, C. G.; Knauth, S.; Pipelidis, G.; Tsiamitros, N.; Lungenstrass, T.; Pablo Morales, J.; Trogh, J.; Plets, D.; Opiela, M.; Shih-Hau Fang Tsao, Y.; Chien, Y.-R.; Yang, S.-S.; Ye, S.-J.; Ali, M. U.; Hur, S.; and Park, Y. Evaluating Indoor Positioning Systems in a Shopping Mall: The Lessons Learned from the IPIN 2018 Competition IEEE Access Vol. 7, pp. 148594-148628, 2019.

JCR Q1 Sansano, E.; Montoliu, R.; Belmonte, O.; Torres-Sospedra, J. Indoor Positioning and Fingerprinting: The R Package ipft The R Journal Vol. 11(1), 2019.

Others Torres-Sospedra, J. and Nebot, P. Combining Satellite Images and Cadastral Information for Outdoor Autonomous Mapping and Navigation: A Proof-of-Concept Study in Citric Groves Algorithms Vol. 12(2019), 2019.

JCR Q3 Mendoza-Silva, G. M.; Gould, M.; Montoliu, R.; Torres-Sospedra, J. and Huerta, J. An Occupancy Simulator for a Smart Parking System: Developmental Design and Experimental Considerations ISPRS International Journal of Geo-Information Vol. 2(2019), 2019.

JCR Q2 Santa, F.; Henriques, R.; Torres-Sospedra, J. and Pebesma E. A Statistical Approach for Studying the Spatio-Temporal Distribution of Geolocated Tweets in Urban Environments Sustainability Vol. 11(3), 2019.

JCR Q2 Khandker, J.; Torres-Sospedra, J.; Ristaniemi, T. Improving RF Fingerprinting methods by Means of D2D Communication Protocol Electronics Vol. 8(2019), 2019.

Others Mendoza-Silva, G.; Matey-Sanz, M.; Torres-Sospedra, J.; Huerta, J. BLE RSS Measurements Dataset for Research on Accurate Indoor Positioning Data Vol. 4(2019), 2019.

2018

JCR Q3 Ramos, F.; Trilles, S.; Torres-Sospedra, J.; Perales, F. J. New trends in using Augmented Reality Apps for Smart City Contexts ISPRS International Journal of Geo-Information Vol. 7(2018), 2018.

JCR Q1 Belmonte, O.; Montoliu, R.; Torres-Sospedra, J.; Sansano-Sansano, E.; & Chia, D. A radiosity-based method to avoid calibration for Indoor Positioning Systems Expert Systems with Applications Vol. 105, pp. 89-101, 2018.

JCR Q2 Llido Escrivá, D. M.; Torres-Sospedra, J. and Berlanga, R. Smart Outdoor Light Desktop Central Management System IEEE Intelligent Transportation Systems Magazine Vol. 10(2) Summer, 2018.

JCR Q1 Torres-Sospedra, J.; Jiménez, A. R.; Moreira, A.; Lungenstrass, T.; Lu, W.-C.; Knauth, S.; Mendoza-Silva, G.M.; Seco, F.; Perez-Navarro, A.; Nicolau, M.J.; Costa, A.; Meneses, F.; Farina, J.; Morales, J.P.; Lu, W.-C.; Cheng, H.-T.; Yang, S.-S.; Fang, S.-H.; Chien, Y.-R. and Tsao, Y. Off-line evaluation of mobile-centric Indoor Positioning Systems: the experiences from the 2017 IPIN competition Sensors Vol. 18(2), 2018.

Others Mendoza-Silva, G.; Richter, P.; Torres-Sospedra, J.; Lohan, E.S.; Huerta, J. Long-Term WiFi Fingerprinting Dataset for Research on Robust Indoor Positioning Data Vol. 3(1), 2018.

2017

JCR Q2 Torres-Sospedra, J. and Moreira, A. Analysis of sources of large positioning errors in deterministic fingerprinting Sensors Vol. 17(12), 2017.

JCR Q2 Potortì, F.; Park, S.; Jiménez Ruiz, A.R.; Barsocchi, P.; Girolami, M.; Crivello, A.; Lee, S.Y.; Lim, J.H.; Torres-Sospedra, J.; Seco, F.; Montoliu, R.; Mendoza-Silva, G.M.; Pérez Rubio, M.D.C.; Losada-Gutiérrez, C.; Espinosa, F.; Macias-Guarasa, J. Comparing the Performance of Indoor Localization Systems through the EvAAL Framework Sensors Vol. 17(10), 2017.

Others Lohan, E.S.; Torres-Sospedra, J.; Leppäkoski, H.; Richter, P.; Peng, Z.; Huerta, J. Wi-Fi Crowdsourced Fingerprinting Dataset for Indoor Positioning Data Vol. 2(4), 2017.

JCR Q1 Trilles, S.; Calia, A.; Belmonte, O.; Torres-Sospedra, J.; Montoliu, R.; Huerta, J. Deployment of an open sensorized platform in a smart city context Future Generation Computer Systems Vol. 76, pp. 221-233, 2017.

JCR Q4 Torres-Sospedra, J.; Belmonte, O.; Montoliu, R.; Trilles, S. & Calia, A., In-home monitoring system based on WiFi fingerprints for Ambient Assisted Living Journal of Ambient Intelligence and Smart Environments, Vol. 9(5), pp. 543-560, 2017.

JCR Q2 Torres-Sospedra, J.; Jiménez, A.; Knauth, A.; Moreira, A.; Beer, Y.; Fetzer, T.; Ta, V.-C.; Montoliu, R.; Seco, F.; Mendoza, G.; Belmonte, O.; Koukofikis, A.; Nicolau, M.J.; Costa, A.; Meneses, F.; Ebner, F.; Deinzer, F.; Vaufreydaz, D.; Dao, T.-K.; and Castelli, E. The Smartphone-based Off-Line Indoor Location Competition at IPIN 2016: Analysis and Future work Sensors Vol. 17(3), 2017.

JCR Q2 Belmonte, O.; Puertas-Cabedo, A.; Torres-Sospedra, J.; Montoliu, R.; Trilles, S. An Indoor Positioning System based on wearables for Ambient Assisted Living Sensors Vol. 17(1), 2017.

JCR Q4 Torres-Sospedra, J.; Moreira, A.; Knauth, S.; Berkvens, R.; Montoliu, R.; Belmonte, O.; Trilles, S.; Nicolau, M.J.; Meneses, F.; Costa, A.; Koukofikis, A.; Weyn, M.; & Peremans, H. A Realistic Evaluation of Indoor Positioning Systems Based on Wi-Fi Fingerprinting: The 2015 EvAAL-ETRI Competition Journal of Ambient Intelligence and Smart Environments Vol. 9, pp. 263-279, 2017.

2016

JCR Q4 Torres-Sospedra, J.; Montoliu, R.; Mendoza, G.; Belmonte, O.; Rambla, D. & Huerta, J. Providing Databases for Different Indoor Positioning Technologies: Pros and Cons of Magnetic field and Wi-Fi based Positioning Mobile Information Systems Vol. 2016, 2016.

JCR Q3 SC Aguilar-Moreno, E.; Montoliu, R. & Torres-Sospedra, J. Tecnologías de posicionamiento en interiores al servicio de una biblioteca universitaria: hacia la Smart Library Profesional de la Información Vol. 25(2), pp. 295-302, 2016.

2015

JCR Q1 Torres-Sospedra, J.; Montoliu, R.; Trilles, S.; Belmonte, O. & Huerta, J. Comprehensive Analysis of Distance and Similarity Measures for Wi-Fi Fingerprinting Indoor Positioning Systems Expert Systems with Applications Vol. 42(23), pp. 9263-9278, 2015.

JCR Q1 Torres-Sospedra, J.; Avariento, J.; Rambla, D.; Montoliu, R.; Casteleyn, S.; Benedito-Bordonau, M.; Gould, M. & Huerta, J. Enhancing Integrated Indoor/Outdoor Mobility in a Smart Campus International Journal of Geographical Information Science Vol. 29(11), pp. 1955-1968, 2015.

JCR Q2 Montoliu, R.; Martín-Félez, R.; Torres-Sospedra, J. & Martinez-Usó, A. Team Activity Recognition in Association Football using a Bag-of-Words-based Method Human Movement Science Vol. 41, pp. 165-178, 2015.

JCR Q1 Trilles, S.; Luján, A.; Belmonte, Ó.; Montoliu, R.; Torres-Sospedra, J. & Huerta, J. SEnviro: a sensorized platform proposal using open hardware and open standards Sensors Vol. 15(3), pp. 5555-5582, 2015.

JCR Q1 Montoliu, R.; Martín-Félez, R.; Torres-Sospedra, J. & Rodriguez-Pérez, S. ATM-based Analysis and Recognition of Handball Team Activities Neurocomputing Vol. 150, pp. 189-199, 2015.

2014

JCR Q1 Torres-Sospedra, J. & Nebot, P. Two-stage procedure based on smoothed ensembles of neural networks applied to weed detection in orange groves Biosystems Engineering Vol. 123, pp. 40-55, 2014.

2013

JCR Q1 Fernández-Breis, J. T.; Maldonado, J. A.; Marcos, M.; del Carmen Legaz-García, M.; Moner, D.; Torres-Sospedra, J.; Esteban-Gil, A.; Martínez-Salvador, B. & Robles, M. Leveraging electronic healthcare record standards and semantic web technologies for the identification of patient cohorts Journal of the American Medical Informatics Association Vol. 20, pp. e288-e296, 2013.

2011

JCR Q1 Nebot, P.; Torres-Sospedra, J. & Martínez, R. J. A New HLA-Based Distributed Control Architecture for Agricultural Teams of Robots in Hybrid Applications with Real and Simulated Devices or Environments Sensors Vol. 11, pp. 4385-4400, 2011.

JCR Q1 Torres-Sospedra, J. & Nebot, P. A New Approach to Visual-Based Sensory System for Navigation into Orange Groves Sensors Vol. 11, pp. 4086-4103, 2011.

2005

Others Hernández-Espinosa, C.; Torres-Sospedra, J. & Fernández-Redondo, M. New Experiments on Ensembles of MF International Journal of Information Technology Vol. 11, pp. 10-19, 2005.

Others Torres-Sospedra, J.; Fernández-Redondo, M. & Hernández-Espinosa, C. Combination Methods for Ensembles of Multilayer Feedforward WSEAS Transactions on Systems Vol. 4, pp. 474-479, 2005.

Others Hernández-Espinosa, C.; Torres-Sospedra, J. & Fernández-Redondo, M. Combination Methods for Ensembles of RBF Networks WSEAS Transactions on Circuits and Systems Vol. 4, pp. 389-394, 2005.

Others Torres-Sospedra, J.; Hernández-Espinosa, C. & Fernández-Redondo, M. Ensembles of Multilayer Feedforward: A New Comparison WSEAS Transactions on Systems Vol. 4, pp. 468-473, 2005.

2025

Zeeshan, M.; Raj. R.; Anand, A.; Pandey, A.; Tabrez Quasim, M.; and Torres-Sospedra, J. Knowledge Distillation-Based AIoT Framework for Efficient Wireless Gesture Sensing in B5G/6G Networks IEEE Network Vol. 175, 103862, 2025.

Brunello, A.; Montanari, A.; Montoliu, R.; Moreira, A.; Saccomanno, N.; Sansano-Sansano, E.; and Torres-Sospedra, J. Time matters: Empirical insights into the limits and challenges of temporal generalization in CSI-based Wi-Fi sensing Internet of Things (Elsevier) Vol. 32, 101634, 2025.

Chukhno, N.;, Bravenec, T.; Díez-González, J.; Trilles, S.; Torres-Sospedra, J.; Iera, A., Araniti, G. Are D2D and RIS in the same league? Cooperative RSSI-based localization model and performance comparison Ad Hoc Networks (Elsevier) Vol. 175, 103862, 2025.

Ferrero-Guillén, R.; Díez-González, J.; Álvarez, R.; Torres-Sospedra, J.; Perez, H.; and Moreira A. Asynchronous time-based indoor localization systems-Comparative analysis under realistic industrial-oriented conditions Ad Hoc Networks (Elsevier) Vol. 173, 103816, 2025.

Ferrero-Guillén, R.; Díez-González, J.; Martínez-Gutiérrez, A.; Perez, H.; Torres-Sospedra, J.; and Moreira A. Comparing synchronous and asynchronous UWB time-based localization systems for Autonomous Mobile Robots Neurocomputing Vol. 629, 129622, 2025.

Anagnostopoulos, G.C; Barsocchi, P.; Crivello, A.; Pendão, C.; Silva, I.; and Torres-Sospedra, J.; ORDIP: Principle, Practice and Guidelines for Open Research Data in Indoor Positioning Internet of Things (Elsevier) Vol. 30, 101485, 2025.

2024

Klus, R.; Talvitie, J.; Torres-Sospedra, J.; Quezada-Gaibor, D.; Casteleyn, S.; Cabric, D.; and Valkama, M. C2R: A Novel Architecture for Boosting Indoor Positioning With Scarce Data IEEE Internet of Things Journal (IEEE) Vol, 11(20), pp. 32868-32882, 2024.

Kumar, R.; Torres-Sospedra, J.; and Chaurasiya, V.K. H2LWRF-PDR: An efficient indoor positioning algorithm using a single Wi-Fi access point and Pedestrian Dead Reckoning Internet of Things (Elsevier) Vol. 27, p.101271, 2024.

Díez-González, J.; Ferrero-Guillén R.; Verde, P.; Martínez-Gutiérrez, A.; Álvarez, R.; Torres-Sospedra, J. Time-based UWB localization architectures analysis for UAVs positioning in industry Ad Hoc Networks (Elsevier) Vol. 157, p.103419, 2024.

2023

Pascacio, P. and Torres-Sospedra, J. and Casteleyn, S. and Lohan, E.S. and Nurmi, J. L/F-CIPS: Collaborative Indoor Positioning for Smartphones With Lateration and Fingerprinting IEEE Sensors Journal Vol.23 (20), 2023.

Bravenec, T.; Gould, M.; Fryza, T.; and Torres-Sospedra, J.; Influence of Measured Radio Map Interpolation on Indoor Positioning Algorithms IEEE Sensors Journal Vol.23 (17), 2023.

Pérez-Navarro, A.; Montoliu, R.; Sansano-Sansano, E.; Martínez-Garcia, M.; Femenia, R.; and Torres-Sospedra, J.; Accuracy of a single position estimate for kNN-based fingerprinting indoor positioning applying error propagation theory IEEE Sensors Journal Vol.23 (16), 2023.

Klus, L.; Klus, R.; Torres-Sospedra, J.; Lohan, E.S.; Granell, C.; and Nurmi, J. EWOk: Towards Efficient Multidimensional Compression of Indoor Positioning Datasets IEEE Transactions on Mobile Computing (in press), 2023.

Casanova-Marques, R.; Torres-Sospedra, J.; Hajny, J.; and Gould, M. Maximizing privacy and security of collaborative indoor positioning using zero-knowledge proofs Elsevier Internet of Things 22, 2023.

2022

Pascacio, P.; Torres-Sospedra, J.; Jimenez, A. R.; Casteleyn, S.; Mobile device-based Bluetooth Low Energy Database for range estimation in indoor environments Scientific Data (Nature) 9 (281), 2022.

Silva, I.; Pendão, C.; Torres-Sospedra, J. and Moreira, A. TrackInFactory: A Tight Coupling Particle Filter for Industrial Vehicle Tracking in Indoor Environments IEEE Transactions on Systems, Man, and Cybernetics: Systems, 52 (7), pp. 4151-4162, 2022.

#1/63 in SCIE: AUTOMATION & CONTROL SYSTEMS (2020)

#1/23 in SCIE: COMPUTER SCIENCE, CYBERNETICS (2020)

Torres-Sospedra, J.; Richter, P.; Moreira, A.; Mendoza-Silva, G.; Lohan, E.; Trilles, S.; Matey-Sanz, M. and Huerta, J. A Comprehensive and Reproducible Comparison of Clustering and Optimization Rules in Wi-Fi Fingerprinting IEEE Transactions on Mobile Computing, 21 (3) 2022.

Chukhno, N.; Trilles, S.; Torres-Sospedra, J.; Iera A.; and Araniti, G. D2D-based Cooperative Positioning Paradigm for Future Wireless Systems: A Survey IEEE Sensors Journal, 22(6), pp. 5101-5112, 2022.

Potortì, F.; Torres-Sospedra, J.; Quezada-Gaibor, D.; Jiménez, A.R.; Seco, F.; Pérez-Navarro, A.; Ortiz, M.; Zhu, N.; Renaudin, V.; Ichikari, R.; Shimomura, R.; Ohta, N.; Nagae, S.; Kurata, T.; Wei, D.; Ji, X.; Zhang, W.; Kram, S.; Stahlke, M.; Mutschler, C.; Crivello, A.; Barsocchi, P.; Girolami, M.; Palumbo, F.; Chen, R.; Wu, Y.; Li, W.; Yu, Y.; Xu, S.; Huang, L.; Liu, T.; Kuang, J.; Niu, X.; Yoshida, T.; Nagata, Y.; Fukushima, Y.; Fukatani, N.; Hayashida, N.; Asai, Y.; Urano, K.; Ge, W.; Lee, N.T.; Fang, S.H.; Jie, Y.C.; Young, S.R.; Chien, Y.R.; Yu, C.C.; Ma, C.; Wu, B.; Zhang, W.; Wang, Y.; Fan, Y.; Poslad, S.; Selviah, D.R.; Wang, W.; Yuan, H.; Yonamoto, Y.; Yamaguchi, M.; Kaichi, T.; Zhou, B.; Liu, X.; Gu, Z.; Yang, C.; Wu, Z.; Xie, D.; Huang, C.; Zheng, L.; Peng, A.; Jin, G.; Wang, Q.; Luo, H.; Xiong, H.; Bao, L.; Zhang, P.; Zhao, F.; Yu, C.A.; Hung, C.H.; Antsfeld, L.; Chidlovskii, B.; Jiang, H.; Xia, M.; Yan, D.; Li, Y.; Dong, Y.; Silva, I.; Pendão, C.; Meneses, F.; Nicolau, M.J.; Costa, A.; Moreira, A.; Cock, C.D.; Plets, D.; Opiela, M.; Džama, J.; Zhang, L.; Li, H.; Chen, B.; Liu, Y.; Yean, S.; Lim, B.Z.; Teo, W.J.; Lee, B.S.; Oh, H.L. Off-line Evaluation of Indoor Positioning Systems in Different Scenarios: The Experiences from IPIN 2020 Competition IEEE Sensors Journal, 22(6), pp. 5011-5054, 2022.

Mendoza-Silva, G.; Costa, A. C.; Torres-Sospedra, J.; Painho, M. and Huerta, J. Environment-Aware Regression for Indoor Localization based on WiFi Fingerprinting IEEE Sensors Journal, 22(6), pp. 4978-4888, 2022.

2021

Ometov, A.; Shubina, V.; Klus, L.; Skibińska, J.; Saafi, S.; Pascacio, P.; Flueratoru, L.; Gaibor, D.; Chukhno, N.; Chukhno, O.; Ali, A.; Channa, A.; Svertoka, E.; Qaim, W.; Casanova-Marqués, R.; Holcer, S.; Torres-Sospedra, J.; Casteleyn, S.; Ruggeri, G.; Araniti, G.; Burget, R.; Hosek, J. and Lohan, E.S. A survey on wearable technology: History, state-of-the-art and current challenges Computer Networks (Elsevier), 193, 2021.

Marsh-Hunn, D.; Trilles, S.; González-Pérez, A.; Torres-Sospedra, J. and Ramos, F. A comparative study in the standardisation of IoT devices using geospatial web standards IEEE Sensors Journal, 21(4), 2021.

Furfari, F.; Crivello, A.; Baronti, P.; Barsocchi, P.; Girolami, M.; Palumbo, F.; Quezada-Gaibor, D.; Mendoza Silva, G. M. and Torres-Sospedra, J. Discovering location based services: A unified approach for heterogeneous indoor localization systems Internet of Things (Elsevier) Vol. 13 -- 100334, 2021.

Mendoza-Silva, G. M.; Torres-Sospedra, J.; Potortì, F.; Moreira, A.; Knauth, S.; Berkvens, R. and Huerta, J. Beyond Euclidean Distance for Error Measurement in Pedestrian Indoor Location IEEE Transactions on Instrumentation & Measurement Vol. 70, 2021.

2020

Trilles, S.; Torres-Sospedra, J.; Belmonte-Fernández, O.; Javier Zarazaga-Soria, F.; González-Pérez, A. and Huerta J. Development of an open sensorized platform in a smart agriculture context: A vineyard support system for monitoring mildew disease Sustainable Computing, Informatics and Systems (Elsevier), 28, 2020.

Khandker, J.; Torres-Sospedra, J.; Ristaniemi, T. Analysis of Received Signal Strength Quantization in Fingerprinting Localization Sensors Vol. 20(11), 2020.

2019

Mendoza-Silva, G. M.; Torres-Sospedra, J.; and Huerta, J. A Meta-Review of Indoor Positioning Systems Sensors Vol. 19(20), 2019.

Renaudin , V.; Ortiz , M.; Perul , J.; Torres-Sospedra , J.; Ramón Jimenez , A.; Pérez-Navarro , A.; Martín Mendoza-Silva , G.; Seco , F.; Landau , Y.; Marbel , R.; Ben-Moshe , B.; Zheng , X.; Ye , F.; Kuang , J.; Li , Y.; Niu , X.; Landa , V.; Hacohen , S.; Shvalb , N.; Lu , C.; Uchiyama , H.; Thomas , D.; Shimada , A.; Taniguchi, R.; Ding , Z.; Xu , F.; Kronenwett , N.; Vladimirov , B.; Lee , S.; Cho , E.; Jun , S.; Lee , C.; Park , S.; Lee , Y.; Rew , J.; Park , C.; Jeong , H.; Han , J.; Lee , K.; Zhang , W.; Li , X.; Wei , D.; Zhang , Y.; Park , S. Y.; Park , C. G.; Knauth , S.; Pipelidis , G.; Tsiamitros , N.; Lungenstrass , T.; Pablo Morales , J.; Trogh , J.; Plets , D.; Opiela , M.; Shih-Hau Fang Tsao , Y.; Chien, Y.-R.; Yang, S.-S.; Ye, S.-J.; Ali , M. U.; Hur , S.; Park, Y.; Evaluating Indoor Positioning Systems in a Shopping Mall: The Lessons Learned from the IPIN 2018 Competition IEEE Access Vol. 7, pp. 148594--148628, 2019.

Sansano, E.; Montoliu, R.; Belmonte, O.; Torres-Sospedra, J. Indoor Positioning and Fingerprinting: The R Package ipft The R Journal Vol. 11(1), 2019.

2018

Belmonte, O.; Montoliu, R.; Torres-Sospedra, J.; Sansano-Sansano, E.; & Chia, D. A radiosity-based method to avoid calibration for Indoor Positioning Systems Expert Systems with Applications Vol. 105, pp. 89-101, 2018.

Torres-Sospedra, J.; Jiménez, A. R.; Moreira, A.; Lungenstrass, T.; Lu, W.-C.; Knauth, S.; Mendoza-Silva, G.M.; Seco, F.; Perez-Navarro, A.; Nicolau, M.J.; Costa, A.; Meneses, F.; Farina, J.; Morales, J.P.; Lu, W.-C.; Cheng, H.-T.; Yang, S.-S.; Fang, S.-H.; Chien, Y.-R. and Tsao, Y. Off-line evaluation of mobile-centric Indoor Positioning Systems: the experiences from the 2017 IPIN competition Sensors Vol. 18(2), 2018.

2017

Trilles, S.; Calia, A.; Belmonte, O.; Torres-Sospedra, J.; Montoliu, R.; Huerta, J. Deployment of an open sensorized platform in a smart city context Future Generation Computer Systems Vol. 76, pp. 221-233, 2017.

2015

Torres-Sospedra, J.; Montoliu, R.; Trilles, S.; Belmonte, O. & Huerta, J. Comprehensive Analysis of Distance and Similarity Measures for Wi-Fi Fingerprinting Indoor Positioning Systems Expert Systems with Applications Vol. 42(23), pp. 9263-9278, 2015.

Torres-Sospedra, J.; Avariento, J.; Rambla, D.; Montoliu, R.; Casteleyn, S.; Benedito-Bordonau, M.; Gould, M. & Huerta, J. Enhancing Integrated Indoor/Outdoor Mobility in a Smart Campus International Journal of Geographical Information Science Vol. 29(11), pp. 1955-1968, 2015.

Trilles, S.; Luján, A.; Belmonte, Ó.; Montoliu, R.; Torres-Sospedra, J. & Huerta, J. SEnviro: a sensorized platform proposal using open hardware and open standards Sensors Vol. 15(3), pp. 5555-5582, 2015.

Montoliu, R.; Martín-Felez, R.; Torres-Sospedra, J. & Rodriguez-Pí©rez, S. ATM-based Analysis and Recognition of Handball Team Activities Neurocomputing Vol. 150, pp. 189-199, 2015.

2014

Torres-Sospedra, J. & Nebot, P. Two-stage procedure based on smoothed ensembles of neural networks applied to weed detection in orange groves Biosystems Engineering Vol. 123, pp. 40-55, 2014.

2013

Fernández-Breis, J. T.; Maldonado, J. A.; Marcos, M.; del Carmen Legaz-García, M.; Moner, D.; Torres-Sospedra, J.; Esteban-Gil, A.; Martínez-Salvador, B. & Robles, M. Leveraging electronic healthcare record standards and semantic web technologies for the identification of patient cohorts Journal of the American Medical Informatics Association Vol. 20, pp. e288-e296, 2013.

2011

Nebot, P.; Torres-Sospedra, J. & Martínez, R. J. A New HLA-Based Distributed Control Architecture for Agricultural Teams of Robots in Hybrid Applications with Real and Simulated Devices or Environments Sensors Vol. 11, pp. 4385-4400, 2011.

Torres-Sospedra, J. & Nebot, P. A New Approach to Visual-Based Sensory System for Navigation into Orange Groves Sensors Vol. 11, pp. 4086-4103, 2011.

2026

Pandey, A.; Zeeshan, M.; Torres-Sospedra, J.; Kumar, A.; Kumar, S. Edge-Assisted Domain Adaptive RFID Sensing for Localization and Activity Recognition IEEE Journal of Radio Frequency Identifications Vol. (-), 2026. Accepted for publication

Santamaria-Pedrón, J.C.; Berkvens, R.; Miralles, I.; Reaño, C.; Torres-Sospedra, J. Machine Learning Integration in Ultra-Wideband-Based Indoor Positioning Systems: A Comprehensive Review Sensors Vol. 15, 2026.

2025

Martín-Frechina, S.; Dura, E.; Miralles, I.; Torres-Sospedra, J. From Fingerprinting to Advanced Machine Learning: A Systematic Review of Wi-Fi and BLE-Based Indoor Positioning Systems Sensors Vol. 25, 2025.

Díaz-Jiménez, D.; López Ruiz, J.L.; Cuevas-Martínez, J.C.; Torres-Sospedra, J.; Navarro, E.A.; Espinilla Estévez, M. BLE-Based Custom Devices for Indoor Positioning in Ambient Assisted Living Systems: Design and Prototyping Sensors Vol. 25, 2025.

Lisik, D. ; Ahmar Shah, S. ; Basna, R. ; Dinh, T. ; Browne, R. P.; Andrews, J. L.; Wallace, M. L.; Ezugwu, A. E.; Marušić, A. ; Tran, D. ; Torres-Sospedra, J. ; Hieu-Chi Dam; Fournier-Viger, P. ; Hennig, C. ; Timmerman, M. E.; Warrens, M. J.; Ceulemans, E. ; Nwaru, B. I.; and Hernandez-Boussard, T. Protocol for development of a checklist and guideline for transparent reporting of cluster analyses (TRoCA) BMJ Open (in press), 2025.

2023

Silva , I.; Pendão, C.; Torres-Sospedra, J.; Moreira, A. Industrial Environment Multi-Sensor Dataset for Vehicle Indoor Tracking with Wi-Fi, Inertial and Odometry Data MDPI Data 8 (10), 2023.

2022

Gutiérrez, J.D.; Jiménez, A.R.; Seco, F.; Álvarez, F.J.; Aguiler, T.; Torres-Sospedra, J.; Melchor, F.; GetSensorData: An extensible Android-based application for multi-sensor data registration SoftwareX (Elsevier) 19, 2022.

Bellavista-Parent, V.; Torres-Sospedra, J.; Perez-Navarro A.; Comprehensive Analysis of Applied Machine Learning in Indoor Positioning Based on Wi-Fi: An Extended Systematic Review Sensors 22(12), 2022.

Quezada-Gaibor, D.; Torres-Sospedra, J.; Nurmi, J.; Koucheryavy, Y.; Huerta, J. Cloud Platforms for Context-Adaptive Positioning and Localisation in GNSS-Denied Scenarios — A Systematic Review Sensors Vol. 22, 2022.

2021

Torres-Sospedra, J.; Martínez-Salvador, B.; Campos Sancho, C. and Marcos, M. Process Model Metrics for Quality Assessment of Computer-Interpretable Guidelines in PROforma Applied Sciences (MDPI), 11(7), 2021.

Pascacio, P.; Casteleyn, S.; Torres-Sospedra, J.; Lohan, E. S.; and Nurmi, J. Collaborative Indoor Positioning Systems: A Systematic Review Sensors Vol. 21, 2021.

2020

Potorti, F.; Park, S.; Palumbo, F.; Girolami, M.; Barsocchi, P.; Lee, S.; Torres-Sospedra, J.; Jimenez Ruiz, A. R.; Perez-Navarro, A.; Mendoza-Silva, G. M.; Seco, F.; Ortiz, M.; Perul, J.; Renaudin, V.; Kang, H.; Park, S. Y.; Lee, J. H.; Park, C. G.; Ha, J.; Han, J.; Park, C.; KIM, K.; Lee, Y.; GYE, S.; Lee, K.; Kim, E.; Choi, J.-S.; Choi, Y.-S.; Talwar, S.; Cho, S. Y.; Ben-Moshe, B.; Sansano, E.; Chidlovskii, B.; Kronenwett, N.; Prophet, S.; Landay, Y.; Marbel, R.; Peng, A.; Wu, B.; MA, C.; Poslad, S.; Selviah, D.; Wu, W.; Ma, Z.; Zhang, W.; Wei, D.; Yuan, H.; Jiang, J.-B.; Liu, J.-W.; Su, K.-W.; Leu, J.-S.; Nishiguchi, K.; Bousselham, W.; Uchiyama, H.; Thomas, D.; Shimada, A.; Taniguchi, R.-I.; Cortés, V.; Lungenstrass, T.; Ashraf, I.; Lee, C.; Usman Ali, M.; Im, Y.; Kim, G.; Eom, J.; Hur, S.; Park, Y.; Opiela, M.; Moreira, A.; Nicolau, M. J.; Pendão, C.; Silva, I.; Meneses, F.; Costa, A.; Trogh, J.; Plets, D.; Chien, Y.-R.; Chang, T.-Y.; Fang, S.-H.; Tsao, Y. The IPIN 2019 Indoor Localisation Competition - Description and Results IEEE Access Vol. 8, pp. 206674-206718, 2020.

2019

Santa, F.; Henriques, R.; Torres-Sospedra, J. and Pebesma E. A Statistical Approach for Studying the Spatio-Temporal Distribution of Geolocated Tweets in Urban Environments Sustainability Vol. 11(3), 2019.

Khandker, J.; Torres-Sospedra, J.; Ristaniemi, T. Improving RF Fingerprinting methods by Means of D2D Communication Protocol Electronics Vol. 8(2019), 2019.

2018

Llido Escrivá, D. M.; Torres-Sospedra, J. and Berlanga, R. Smart Outdoor Light Desktop Central Management System IEEE Intelligent Transportation Systems Magazine Vol. 10(2) Summer, 2018.

2017

Torres-Sospedra, J. and Moreira, A. Analysis of sources of large positioning errors in deterministic fingerprinting Sensors Vol. 17(12), 2017.

Potortì, F.; Park, S.; Jiménez Ruiz, A.R.; Barsocchi, P.; Girolami, M.; Crivello, A.; Lee, S.Y.; Lim, J.H.; Torres-Sospedra, J.; Seco, F.; Montoliu, R.; Mendoza-Silva, G.M.; Pérez Rubio, M.D.C.; Losada-Gutiérrez, C.; Espinosa, F.; Macias-Guarasa, J. Comparing the Performance of Indoor Localization Systems through the EvAAL Framework Sensors Vol. 17(10), 2017.

Torres-Sospedra, J.; Jiménez, A.; Knauth, A.; Moreira, A.; Beer, Y.; Fetzer, T.; Ta, V.-C.; Montoliu, R.; Seco, F.; Mendoza, G.; Belmonte, O.; Koukofikis, A.; Nicolau, M.J.; Costa, A.; Meneses, F.; Ebner, F.; Deinzer, F.; Vaufreydaz, D.; Dao, T.-K.; and Castelli, E. The Smartphone-based Off-Line Indoor Location Competition at IPIN 2016: Analysis and Future work Sensors Vol. 17(3), 2017.

Belmonte, O.; Puertas-Cabedo, A.; Torres-Sospedra, J.; Montoliu, R.; Trilles, S. An Indoor Positioning System based on wearables for Ambient Assisted Living Sensors Vol. 17(1), , 2017.

2015

Montoliu, R.; Martín-Félez, R.; Torres-Sospedra, J. & Martinez-Usó, A. Team Activity Recognition in Association Football using a Bag-of-Words-based Method Human Movement Science Vol. 41, pp. 165-178, 2015.

2025

Dinh, T.; Wong, H.; Lisik, M.; Koren, M.; Tran, D.; Yu, P. S.; and Torres-Sospedra, J. Data clustering: a fundamental method in data science and management Data Science and Management (accepted), 2025.

Anagnostopoulos, G.C; Barsocchi, P.; Crivello, A.; Pendão, C.; Silva, I.; and Torres-Sospedra, J. Comprehensive Assessment of Open Science Practices in Indoor Positioning: Open Data, Code and Material IEEE Journal of Indoor and Seamless Positioning and Navigation Vol. 175, 103862, 2025.

2024

Potortì, F.; Crivello, A.; Lee, S.; Vladimirov, B.; Park, S.; Chen, Y.; Wang, L.; Chen, R.; Zhao, F.; Zhuge, Y.; Luo, H.; Perez-Navarro, A.; R. Jiménez, A.; Wang, H.; Liang, H.; De Cock, C.; Plets, D.; Cui, Y.; Xiong, Z.; Li, X.; Ding, Y.; Álvarez Franco, F.J.; Aranda Polo, F.J.; Parralejo Rodríguez, F.; Moreira, A.; Pendão, C.; Silva, I.; Ortiz, M.; Zhu, N.; Li, Z.; Renaudin, V.; Wei, D.; Ji, X.; Zhang, W.; Wang, Y.; Ding, L.; Kuang, J.; Zhang, X.; Dou, Z.; Yang, C.; Kram, S.; Stahlke, M.; Mutschler, C.; Coene, S.; Li, C.; Venus, A.; Leitinger, E.; Tertinek, S.; Witrisal, K.; Wang, Y.; Wang, S.; Jin, B.; Zhang, F.; Su, C.; Wang, Z.; Li, S.; Li, X.; Li, S.; Pan, M.; Zheng, W.; Luo, K.; Ma, Z.; Gao, Y.; Chang, J.; Ren, H.; Guo, W.; Torres-Sospedra, J.; Offsite evaluation of localization systems: criteria, systems and results from IPIN 2021-22 competitions IEEE Journal of Indoor and Seamless Positioning and Navigation Vol. 2, 2024.

2023

Bravenec, T., Torres-Sospedra, J., Gould M. and Fryza T., UJI Probes Revisited: Deeper Dive Into the Dataset of Wi-Fi Probe Requests IEEE Journal of Indoor and Seamless Positioning and Navigation Vol. 1, pp. 221-230, 2023.

Quezada-Gaibor, D.; Klus, L.; Klus, R.; Lohan, E.S.; Nurmi, J.; Valkama, M.; Huerta, J.; and Torres-Sospedra, J. Auto-Encoder Extreme Learning Machine for Fingerprint-Based Positioning: A Good Weight Initialization is Decisive IEEE Journal of Indoor and Seamless Positioning and Navigation (in press), 2023.

2020

Aranda, F.J.; Parralejo, F.; Álvarez, F.; Torres-Sospedra, J. Multi-Slot BLE Raw Database for Accurate Positioning in Mixed Indoor/Outdoor Environments Data Vol. 5(3), 2020.

2019

Torres-Sospedra, J. and Nebot, P. Combining Satellite Images and Cadastral Information for Outdoor Autonomous Mapping and Navigation: A Proof-of-Concept Study in Citric Groves Algorithms Vol. 12(2019), 2019.

Mendoza-Silva, G.; Matey-Sanz, M.; Torres-Sospedra, J.; Huerta, J. BLE RSS Measurements Dataset for Research on Accurate Indoor Positioning Data Vol. 4(2019), 2019.

2018

Mendoza-Silva, G.; Richter, P.; Torres-Sospedra, J.; Lohan, E.S.; Huerta, J. Long-Term WiFi Fingerprinting Dataset for Research on Robust Indoor Positioning Data Vol. 3(1), 2018.

2017

Lohan, E.S.; Torres-Sospedra, J.; Leppäkoski, H.; Richter, P.; Peng, Z.; Huerta, J. Wi-Fi Crowdsourced Fingerprinting Dataset for Indoor Positioning Data Vol. 2(4), 2017.

2005

Hernández-Espinosa, C.; Torres-Sospedra, J. & Fernández-Redondo, M. New Experiments on Ensembles of MF International Journal of Information Technology Vol. 11, pp. 10-19, 2005.

Torres-Sospedra, J.; Fernández-Redondo, M. & Hernández-Espinosa, C. Combination Methods for Ensembles of Multilayer Feedforward WSEAS Transactions on Systems Vol. 4, pp. 474-479, 2005.

Hernández-Espinosa, C.; Torres-Sospedra, J. & Fernández-Redondo, M. Combination Methods for Ensembles of RBF Networks WSEAS Transactions on Circuits and Systems Vol. 4, pp. 389-394, 2005.

Torres-Sospedra, J.; Hernández-Espinosa, C. & Fernández-Redondo, M. Ensembles of Multilayer Feedforward: A New Comparison WSEAS Transactions on Systems Vol. 4, pp. 468-473, 2005.

Conference publications

12%

13.33%

26.67%

42%

2026

Other Santamaria-Pedrón, J. C.; Reaño, C.; Torres-Sospedra, J. Lightweight Convolutional Autoencoder for Unsupervised NLOS Identification in UWB Positioning Proceedings of the 2026 IEEE International Instrumentation and Measurement Technology Conference (I2MTC), 2026. Presented at I2MTC 2026.

Other Martín-Frechina, S.; Martinez, E.; Torres-Sospedra, J. Advancing BLE Angle-of-Arrival Estimation with Deep Learning Proceedings of the 2026 IEEE International Instrumentation and Measurement Technology Conference (I2MTC), 2026. Presented at I2MTC 2026.

Other Bellavista-Parent, V.; Garcia-Lozano, M.; Perez-Navarro, A.; Torres-Sospedra, J. Open Real-World Dataset and Evaluation of TOA Multilateration and RSRP Fingerprinting for 5G NR Indoor Localization Proceedings of the 2026 IEEE International Instrumentation and Measurement Technology Conference (I2MTC), 2026. Presented at I2MTC 2026.

Other Ramires, M.; Torres-Sospedra, J.; Navarro Camba, E.; Meneses, F.; Moreira, A. Open challenges in BLE-based Direction-of-Arrival estimation Proceedings of the IEEE International Conference on Communications: IoT & Sensor Networks (ICC 2026), 2026. Presented at ICC 2026.

Workshop Sosa-León, V.A.L.; Mukhametov, S.; Trilles S.; Huerta, J.; Torres-Sospedra, J. Privacy-Preserving Skeleton-Based Analysis of Visitor Behavior in Museums Proceedings of 2024 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops). CoMoRe-AI 2026: 22nd Workshop on Context and Activity Modeling and Recognition with AI, 2026. To be presented in CoMoRe-AI 2026 a PerCom Workshop.

2025

Other Díaz Jiménez, D.; López Ruiz, J. L.; Torres-Sospedra, J.; Matey-Sanz, M.; Espinilla Estévez, M. Smart Sensing Framework: A Custom Beacon Architecture for Mobile Data Logging Proceedings of the 17th International Conference on Ubiquitous Computing & Ambient Intelligence (UCAmI 2025), 2025. Presented at UCAMI 2025.

Other Matey-Sanz, M.; Claver, J. M.; Martinez, E.; Felici-Castell, S.; Montoliu, R.; Pérez-Navarro, A.; Perez, J. J.; Soriano, A.; Trilles, S.; Torres-Sospedra, J. Fingerprinting with Fine Time Measurements: from RSS to RTT Proceedings of the 17th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops, 2025. Presented at ICUMT 2025.

Other Serrano, T.; and Torres-Sospedra, J. Enhanced Radio Map for Wi-Fi Fingerprinting Using PDR and Particle Filter Proceedings of 2025 IEEE SENSORS, 2025. Presented at IEEE SENSORS 2025.

Core C Jimenez Ruiz, A. R., Torres-Sospedra, J., Ruiz-Ruiz, L. Dense Ground Truth for Indoor Localization Competitions: Foot-mounted IMU-Enhanced Evaluation Proceedings of the Workshop for Computing & Advanced Localization at the Fifteenth International Conference on Indoor Positioning and Indoor Navigation (IPIN-WCAL 2025)., 2025. online

IPIN-WCAL2025 - Best WCAL Paper Award

Core C Din, T. C.; and Torres-Sospedra, J. BLE Antenna characterization in real environments Proceedings of the Fifteenth International Conference on Indoor Positioning and Indoor Navigation, 2025.

Core C Ramires, M.; Torres-Sospedra, J., Puga, J.; Machado, N.; Moreira, A.; and Meneses, F. A Multiple BLE Beacon Approach for Tracking in Industrial Environments Proceedings of the Fifteenth International Conference on Indoor Positioning and Indoor Navigation, 2025.

Core C Matey-Sanz, M.; and Torres-Sospedra, J. Comparative Analysis of Indoor Positioning Approaches with Wi-Fi RTT from Android Devices Proceedings of the Fifteenth International Conference on Indoor Positioning and Indoor Navigation, 2025.

IPIN2025 - Best Paper Award (Runner-up)

Core C Díaz-Jiménez, D.; López-Ruiz, J. L.; Espinilla, M.; Ramires, M.; and Torres-Sospedra, J. Toward more reliable wireless localization: Evaluation of a novel configurable Beacon Proceedings of the Fifteenth International Conference on Indoor Positioning and Indoor Navigation, 2025.

Core C Silva, I.; Torres-Sospedra, J. and Pendao, C.; Is Wi-Fi fingerprinting enough to estimate the current floor in real-world deployments? Proceedings of the Fifteenth International Conference on Indoor Positioning and Indoor Navigation, 2025.

Core C Ferrato, A.;Fabio Gasparetti, Limongelli, C.; Mastandrea, S.; Sansonetti, G.; and Torres-Sospedra, J. Cross-platform Smartphone Positioning at Museums Proceedings of the Fifteenth International Conference on Indoor Positioning and Indoor Navigation, 2025.

Core C Pérez-Senosiain, D.; Matey-Sanz, M.; and Torres-Sospedra, J. Evaluating Wi-Fi Round Trip Time for Accurate Indoor Positioning with Android Smartphones Proceedings of the Fifteenth International Conference on Indoor Positioning and Indoor Navigation, 2025.

Core C Torres-Sospedra, J.; Montoliu, R.; and Perez-Navarro, A. UJIIndoorLoc Dataset: A Retrospective Analysis after 10 Years of Usage Proceedings of the Fifteenth International Conference on Indoor Positioning and Indoor Navigation, 2025.

Core B Bellavista-Parent, V.; Torres-Sospedra, J.; Perez-Navarro, A.; Comparison of Multilateration using Wi-Fi RSSI and 5G ToA in a High School Scenario Proceedings of the 101th Vehicular Technology Conference (VTC2025-Spring), 2025.

Others Ramires, M. Aranda, F. J., Torres-Sospedra, J., Moreira, A., Meneses, F. Enhancing Direction-of-Arrival Estimation via Sliding Window and Filtering of Phase-Differences Proceedings of the 2025 International Conference on Localization and GNSS (ICL-GNSS), 2025.

Others Quezada-Gaibor, D.; Matey-Sanz, M.; Huerta, J.; and Torres-Sospedra, J.;/span> Modular Fingerprinting and Deep Learning: A New Training Approach Proceedings of the 3rd International IEEE Applied Sensing Conference (APSCON), 2025.

APSCON2025 - Best Paper Award (Runner Up)

2024

Others Din, T. C.; Matey-Sanz, M.; Bautista; A.; Trilles, S.; and Torres-Sospedra, J. Feasibility Analysis of Self-Oriented BLE Anchors Powered by NEMA Motors for DoA-based Indoor Positioning Proceedings of the 16th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops(ICUMT), 2024. url

Others Valero-Abundio, C.; Montoliu, R.; Martínez-García, M.; Sansano-Sansano, E.; Torres-Sospedra, J.; and Pérez-Navarro, A. Error Bound Estimation for Fingerprinting-Based Indoor Positioning Systems Using Monte Carlo Simulations Proceedings of the 16th International Congress on Ultra Modern Telecommunications and Control Systems (ICUMT), 2024. Accepted in press!

Core B Klus, L.; Klus, R.; Torres-Sospedra, J.; Lohan, E. S.; Silva, I.; Pendão, C.; Valkama, M.} Enabling Dynamic Indoor Localization by Employing Intersection over Union as a Metric Proceedings of the 100th Vehicular Technology Conference (VTC2024-Fall), 2024.

Core C Anagnostopoulos, G. G.; Barsocchi, P.; Crivello, A.; Pendão, C.; Silva, I.; and Torres-Sospedra, J. Evaluating Open Science Practices in Indoor Positioning and Indoor Navigation Research: A Survey of the IPIN’s Reference Papers of 2022 and 2023 Editions Proceedings of the Fourthteenth International Conference on Indoor Positioning and Indoor Navigation, 2024.

IPIN2024 - Best Paper Award

Core C Din, T. C.; Huerta, J.; Trilles, S.; and Torres-Sospedra, J. Feasibility Analysis of Self-oriented Antennas for Indoor Positioning based on Direction-of-Arrival and Bluetooth-Low-Energy Proceedings of the Fourthteenth International Conference on Indoor Positioning and Indoor Navigation, 2024.

Others Valero-Abundio, C.; Montoliu, R.; Martínez-García, M.; Sansano-Sansano, E.; Torres-Sospedra, J.; and Pérez-Navarro, A. Using ellipses to improve the estimation of the error bound on indoor positioning problems 4th International Symposium on Sensing and Instrumentation in IoT Era (ISSI-IOT), 2024.

ISSI-IOT2024 - Best Student Paper Award

Others Royet, L.; Torres-Sospedra, J.; Montoliu, R.; and Pérez-Navarro, A. Analysis of the origin of differences in position among different fingerprinting datasets 4th International Symposium on Sensing and Instrumentation in IoT Era (ISSI-IOT), 2024.

Others Torres-Sospedra, J.; Silva, I.; Pendão, C.; Meneses, F.; and Moreira, A. Hyperparameterless k-NN for Wi-Fi Fingerprinting 2024 International Conference on Localization and GNSS (ICL-GNSS), 2024.

2023

Core C Matey-Sanz, M.; Torres-Sospedra, J.; González-Pérez, A.; Casteleyn, S.; and Granell, C. Analysis and Impact of Training Set Size in Cross-Subject Human Activity Recognition Pattern Recognition, Image Analysis, Computer Vision, and Applications (CIARP 2023), Lecture Notes in Computer Science, vol 14469, 2023.

Core C Brunello, A.; Montanari, A.; Saccomanno, N.; and Torres-Sospedra, J. High-Performance Features in Generalizable Fingerprint-based Indoor Positioning Proceedings of the 20th EAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 593. Springer, Cham., 2023.

Core C Aranda-Polo, F.J.; Parralejo, F.; Aguilera-Benítez, T.; Álvarez-Franco, F.J.; and Torres-Sospedra, J. RSS Channel-Based Integration for BLE Fingerprinting Positioning Proceedings of the Thirdteenth International Conference on Indoor Positioning and Indoor Navigation, 2023.

Core C Lluva-Plaza, S.; Torres-Sospedra, J.; Garcia, J.J.; Villadangos, J.M.; and Jimenez-Martín, A. Unsupervised Analysis of Daily Routine Evolution for Elderly People Using Room-Level Localisation Proceedings of the Thirdteenth International Conference on Indoor Positioning and Indoor Navigation, 2023.

Core C Bravenec, T.; Torres-Sospedra, J.; Gould, M.; and Fryza, T. UJI Probes: Dataset of Wi-Fi Probe Requests Proceedings of the Thirdteenth International Conference on Indoor Positioning and Indoor Navigation, 2023.

Core C Díez-González, J.; Verde, P.; Ferrero-Guillén, R.; Martínez-Gutiérrez, A.; Álvarez, R.; Perez, H.; and Torres-Sospedra, J. Asynchronous time-based proposal for the positioning of UAVs for indoor TV filming Proceedings of the Thirdteenth International Conference on Indoor Positioning and Indoor Navigation, 2023.

Core C Matey, M.; Torres-Sospedra, J.; and Moreira, A. Temporal Stability on Human Activity Recognition based on Wi-Fi CSI Proceedings of the Thirdteenth International Conference on Indoor Positioning and Indoor Navigation, 2023.

Core C Pendão, C.; Silva, I.; Moreira, A.; Aranda-Polo, F.J.; and Torres-Sospedra, J. Towards Quality Wi-Fi Synthetic Data for Indoor Positioning Evaluation Proceedings of the Thirdteenth International Conference on Indoor Positioning and Indoor Navigation, 2023.

Core C Silva, I.; Pendão, C.; Torres-Sospedra, J.; and Moreira, A. Overcoming Radio Map Degradation in Wi-Fi-based Positioning Systems Proceedings of the Thirdteenth International Conference on Indoor Positioning and Indoor Navigation, 2023.

Core C Torres-Sospedra, J.; Pendão, C.; Silva, I.; Meneses, F.; Quezada-Gaibor, D.; Montoliu, R.; Crivello, A.; Barsocchi, P.; Perez-Navarro, A.; and Moreira, A. Let's Talk about k-NN for Indoor Positioning: Myths and Facts in RF-based Fingerprinting Proceedings of the Thirdteenth International Conference on Indoor Positioning and Indoor Navigation, 2023.

Others Kumar, R.; Torres-Sospedra, J.; Chaurasiya, V.K.; Datasets for Indoor Positioning with Single-AP Wi-Fi Fingerprinting Proceedings of the 2023 International Conference on Localization and GNSS (ICL-GNSS), WIPHAL 2023 Work-in-Progress in Hardware and Software for Location Computation 2023 , 2023. url

2022

Core B Ramires, M.; Torres-Sospedra, J.; Moreira, A. Accurate and Efficient Wi-Fi Fingerprinting-based Indoor Positioning in Large Areas Proceedings of the 2022 IEEE 96th Vehicular Technology Conference: (VTC2022-Fall) , 2022.

Others Montoliu, R.; Perez-Navarro, A.; Torres-Sospedra, J.; Efficient tuning of kNN hyperparameters for indoor positioning with N-TBEA Proceedings of the Twelfth International Conference on Indoor Positioning and Indoor Navigation, 2022.

Core C Quezada-Gaibor, D.; Torres-Sospedra, J.; Nurmi, J.; Koucheryavy, Y.; Huerta, J.; SURIMI: Supervised Radio Map Augmentation with Deep Learning and a Generative Adversarial Network for Fingerprint-based Indoor Positioning Proceedings of the Twelfth International Conference on Indoor Positioning and Indoor Navigation, 2022.

Core C Bravenec, T.; Torres-Sospedra, J.; Gould, M.; Fryza, T.; What Your Wearable Devices Revealed About You and Possibilities of Non-Cooperative 802.11 Presence Detection During Your Last IPIN Visit Proceedings of the Twelfth International Conference on Indoor Positioning and Indoor Navigation, 2022.

Others Bravenec, T.; Torres-Sospedra, J.; Gould, M.; Fryza, T.; Exploration of User Privacy in 802.11 Probe Requests with MAC Address Randomization Using Temporal Pattern Analysis Proceedings of the 17th International Conference on Location Based Services (LBS), 2022.

Core B Pascacio, P.; Torres-Sospedra, J.; Casteleyn, S.; Lohan, E.S.; A Collaborative Approach Using Neural Network for BLE-RSS Lateration-Based Indoor Positioning Proceedings of the 2022 International Joint Conference on Neural Networks (IJCNN) co-located at the IEEE World Congress on Computational Intelligence 2022 (WCCI 2022) , 2022.

Core B Quezada-Gaibor, D.; Klus, Lucie; Torres-Sospedra, J.; Lohan, E.S.; Nurmi J.; Granell, C. and Huerta J.; Data Cleansing for Indoor Positioning Wi-Fi Fingerprinting Datasets Proceedings of the 23rd IEEE International Conference on Mobile Data Management (MDM) , 2022.

Others Klus, Lucie; Quezada-Gaibor, D.; Torres-Sospedra, J.; Lohan, E.S.; Granell, C. and Nurmi J.; Towards Accelerated Localization Performance Across Indoor Positioning Datasets Proceedings of the 2022 International Conference on Localization and GNSS (ICL-GNSS) , 2022.

Others Quezada-Gaibor, D.; Torres-Sospedra, J.; Nurmi, J.; Koucheryavy, Y.; Huerta, J.; Lightweight Hybrid CNN-ELM Model for Multi-building and Multi-floor Classification Proceedings of the 2022 International Conference on Localization and GNSS (ICL-GNSS) , 2022.

Others Torres-Sospedra, J.; Aernouts, M.; Moreira, A.; Berkvens, R.; LoRaWAN Fingerprinting with K-Means: the Relevance of Clusters Visual Inspection in ICL-GNSS 2022 WiP Proceedings co-located with 12th International Conference on Localization and GNSS (2022), 2022. link

2021

Core B Pascacio, P.; Torres-Sospedra, J.; Casteleyn, S. A Lateration Method based on Effective Combinatorial Beacon Selection for Bluetooth Low Energy Indoor Positioning Proceedings of the 17th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob) , 2021.

Core C Rodriguez-Martinez, C.; Torres-Sospedra, J.; Revisiting the Analysis of Hyperparameters in k-NN for Wi-Fi and BLE Fingerprinting: Current Status and General Results Proceedings of the Eleventh International Conference on Indoor Positioning and Indoor Navigation, 2021.

Core C Silva, I.; Pendão, C.; Torres-Sospedra, J.; Moreira, A.; Quantifying the Degradation of Radio Maps in Wi-Fi Fingerprinting Proceedings of the Eleventh International Conference on Indoor Positioning and Indoor Navigation, 2021.

Core C Pendão, C.; Silva, I.; Moreira, A.; Torres-Sospedra, J.; Dioptra – A Data Generation Application for Indoor Positioning Systems Proceedings of the Eleventh International Conference on Indoor Positioning and Indoor Navigation, 2021.

Core C Bellavista-Parent, V.; Torres-Sospedra, J.; Perez-Navarro, A.; New trends in indoor positioning based on WiFi and machine learning: A systematic review Proceedings of the Eleventh International Conference on Indoor Positioning and Indoor Navigation, 2021.

Core C Quezada-Gaibor, D.; Torres-Sospedra, J.; Nurmi, J.; Koucheryavy, Y.; Huerta, J.; Lightweight Wi-Fi Fingerprinting with a Novel RSS Clustering Algorithm Proceedings of the Eleventh International Conference on Indoor Positioning and Indoor Navigation, 2021.

Core C de Brouwer, R.; Torres-Sospedra, J.; Trilles, S.; Berkvens, R.; Optimal Receivers Location for Passive Indoor Positioning based on BLE WiP Proceedings of the Eleventh International Conference on Indoor Positioning and Indoor Navigation, 2021. paper

Core C Aranda-Polo, F. J.; Parralejo, F.; Aguilera, T.; Benítez, Álvarez-Franco, F. J.; Torres-Sospedra, J.; Finding Optimal BLE Configuration for Indoor Positioning with Consumption Restrictions Proceedings of the Eleventh International Conference on Indoor Positioning and Indoor Navigation, 2021.

Core C Klus, R.; Klus, L.; Talvitie, J.; Pihlajasalo, J.; Torres-Sospedra, J.; Valkama, M.; Transfer Learning for Convolutional Indoor Positioning Systems Proceedings of the Eleventh International Conference on Indoor Positioning and Indoor Navigation, 2021.

Core C Torres-Sospedra, J.; Silva, I.; Klus, L.; Quezada-Gaibor, D.; Crivello, A.; Barsocchi, P.; Pendão, C.; Lohan, S.; Nurmi, J.; Moreira, A.; Towards Ubiquitous Indoor Positioning: Comparing Systems across Heterogeneous Datasets Proceedings of the Eleventh International Conference on Indoor Positioning and Indoor Navigation, 2021.

Core C Jurado, E.; Trilles, S.; Perez-Navarro, A.; Torres-Sospedra, J.; A low-cost control occupancy solution using a Time-of-Flight ranging sensor laser WiP Proceedings of the Eleventh International Conference on Indoor Positioning and Indoor Navigation, 2021. paper

Core C Jimenez, A.; Miranda, I.; García, J. J.; Torres-Sospedra, J.; Lluva-Plaza, S.; Gualda-Gómez, D.; Affinity Propagation Clustering for Older Adults Daily Routine Estimation Proceedings of the Eleventh International Conference on Indoor Positioning and Indoor Navigation, 2021.

Core B Casanova-Marques, R.; Pascacio, P.; Hajny, J.; Torres-Sospedra, J. Anonymous Attribute-based Credentials in Collaborative Indoor Positioning Systems Proceedings of the 18th International Conference on Security and Cryptography - SECRYPT, ISBN 978-989-758-524-1, pages 791-797, 2021.

Others Pascacio, P.; Casteleyn, S.; Torres-Sospedra, J. Smartphone Distance Estimation Based on RSSI-Fuzzy Classification Approach Proceedings of the 2021 International Conference on Localization and GNSS (ICL-GNSS), 2021.

Core B Torres-Sospedra, J.; Aranda, F.J.; Álvarez, F.J.; Quezada-Gaibor, D.; Silva, I.; Pendão, C.; Moreira, A. Ensembling Multiple Radio Maps with Dynamic Noise in Fingerprint-based Indoor Positioning Proceedings of the 2021 IEEE 93rd Vehicular Technology Conference (VTC2021-Spring), 2021.

Core B Mendoza-Silva G.M.; Torres-Sospedra, J.; Huerta, J. Local-level Analysis of Positioning Errors in Wi-Fi Fingerprinting Proceedings of the 2021 IEEE 93rd Vehicular Technology Conference (VTC2021-Spring), 2021.

2020

Others Quezada-Gaibor, D.; Klus, Lucie; Torres-Sospedra, J.; Lohan, E.S.; Nurmi J. and Huerta, J. Improving DBSCAN for Indoor Positioning Using Wi-Fi Radio Maps in Wearable and IoT Devices Proceedings of the Twelfth International Congress on Ultra Modern Telecommunications and Control Systems (ICUMT), 2020.

ICUMT - Best Student Paper Award

Others Klus, Lucie; Quezada-Gaibor, D.; Torres-Sospedra, J.; Lohan, E.S.; Granell, C. and Nurmi J. RSS Fingerprinting Dataset Size Reduction Using Feature-Wise Adaptive k-Means Clustering Proceedings of the Twelfth International Congress on Ultra Modern Telecommunications and Control Systems (ICUMT), 2020.

Others Torres-Sospedra, J.; Quezada-Gaibor, D.; Mendoza-Silva, G. M.; Nurmi, J.; Koucheryavy, Y. and Huerta, J. New Cluster Selection and Fine-grained Search for k-Means Clustering and Wi-Fi Fingerprinting Proceedings of the Tenth International Conference on Localization and GNSS (ICL-GNSS), 2020.

Others Holcer, S.; Torres-Sospedra, J.; Gould, M. and Remolar, I. Privacy in Indoor Positioning Systems: A Systematic Review Proceedings of the Tenth International Conference on Localization and GNSS (ICL-GNSS), 2020.

Others Karmacharya, A.; Mendoza Silva, G. M. and Torres-Sospedra, J. Sensor Fusion and Well Condition Triangle Approach for BLE-based Indoor Positioning WiP Proceedings of the Tenth International Conference on Localization and GNSS (ICL-GNSS), 2020. link

Others Abdlamajud Qafisheh, M. W.; Martín Furones, A. and Torres-Sospedra, J. Support Vector Regression Machine Learning Tool to Predict GNSS Clock Corrections in Real-Time PPP Technique WiP Proceedings of the Tenth International Conference on Localization and GNSS (ICL-GNSS), 2020. link

2019

Others Jiménez-Ruiz, A. R.; Seco, F.; and Torres-Sospedra, J. Tools for smartphone multi-sensor data registration and GT mapping for positioning applications Proceedings of the Tenth International Conference on Indoor Positioning and Indoor Navigation, 2019.

Others Li, K.-L.; Zlatanova, S.; Torres-Sospedra, J.; Perez-Navarro, A.; Laoudias, C.; and Moreira, A. Survey on Indoor Map Standards and Formats Proceedings of the Tenth International Conference on Indoor Positioning and Indoor Navigation, 2019.

Others Rojo, J.; Mendoza-Silva, G. M.; Ristow, G.; Laiapea, J.; Parrello, G.; Simó, A.; Stupin, L.; Minican, D.; Farrés, M.; Corvalán, C.; Unger, F.; Marín-López, S.; Soteras, I.; Castejón-Bravo, D.; and Torres-Sospedra, J. Machine Learning applied to Wi-Fi fingerprinting: The experiences of the Ubiqum Challenge Proceedings of the Tenth International Conference on Indoor Positioning and Indoor Navigation, 2019.

Others Torres-Sospedra, J.; Moreira, A.; Mendoza-Silva, G. M.; Nicolau, M. J.; Matey-Sanz, M.; Silva, I.; Huerta, J.; and Pendão, C. Exploiting Different Combinations of Complementary Sensor's data for Fingerprint-based Indoor Positioning in Industrial Environments Proceedings of the Tenth International Conference on Indoor Positioning and Indoor Navigation, 2019.

Others Palinggi, D. A.; Ramos, F.; Torres-Sospedra, J.; Trilles, S.; and Huerta, J. Using Weather Condition and Advanced Machine Learning Methods to Predict Soccer Outcome Accepted Short Papers and Posters from the 22nd AGILE Conference on Geo-information Science. Cyprus University of Technology 17-20 June 2019, Limassol, Cyprus. ISBN 978-90-816960-9-8, Publisher: Stichting AGILE, 2019. link

2018

Others Torres-Sospedra, J.; Richter, P.; Mendoza-Silva, G.M.; Lohan, E.S.; and Huerta, J. Characterising the Alteration in the AP Distribution with the RSS Distance and the Position Estimates Proceedings of the Ninth International Conference on Indoor Positioning and Indoor Navigation, 2018.

Others Perez-Navarro, A.; Montoliu, R.; Torres-Sospedra, J.; and Conesa, J. Magnetic field as a characterization of wide and narrow spaces in a real challenging scenario using Dynamic Time Warping Proceedings of the Ninth International Conference on Indoor Positioning and Indoor Navigation, 2018.

Others Montoliu, R.; Belmonte, O.; Sansano, E.; and Torres-Sospedra, J. A new methodology for long-term maintenance of WiFi fingerprinting radio maps Proceedings of the Ninth International Conference on Indoor Positioning and Indoor Navigation, 2018.

Others Mendoza-Silva, G. M.; Torres-Sospedra, J.; & Huerta, J. Locations Selection for Periodic Radio Map Update in WiFi Fingerprinting Proceedings of the Fourteenth Conference on Location Based Services, 2018.

2017

Others Santa, F.;, Henriques, R.;, Torres-Sospedra, J.; and Pebesma, E. Spatio–temporal point patterns analysis of geolocated tweets to characterise urban dynamics Spatial Statistics 2017 - One World: One Health, 2017. [Abstract]

Others Montoliu, R.;, Sansano, E.;, Torres-Sospedra, J.; and Belmonte, O. IndoorLoc Platform: A Public Repository for Comparing and Evaluating Indoor Positioning Systems Proceedings of the Eighth International Conference on Indoor Positioning and Indoor Navigation, 2017. [Candidate IPIN 2017 best paper]

Others Sansano, E.;, Montoliu, R.; and Torres-Sospedra, J. A Novel Methodology to Estimate a Measurement of the Inherent Difficulty of an Indoor Localization Radio Map Proceedings of the Eighth International Conference on Indoor Positioning and Indoor Navigation, 2017.

Others Moreira, A.; Silva, I.; Meneses, F.; Nicolau, M.J.; Pendão, C.; Torres-Sospedra, J. Multiple simultaneous Wi-Fi measurements in fingerprinting indoor positioning Proceedings of the Eighth International Conference on Indoor Positioning and Indoor Navigation, 2017.

Others Mendoza-Silva, G.M.;, Torres-Sospedra, J.; and Huerta, J. A More Realistic Error Distance Calculation for WiFi Indoor Positioning Systems Accuracy Evaluation Proceedings of the Eighth International Conference on Indoor Positioning and Indoor Navigation, 2017.

2016

Others Mendoza-Silva, G. M.; Rodriguez-Pupo, L. E.; Torres-Sospedra, J.; Huerta, J. Solutions for signal mapping campaigns of Wi-Fi networks Proceedings of the VII Jornadas Ibéricas de Infraestructuras de Datos Espaciales, 2016.

Others Mendoza-Silva, G. M.; Torres-Sospedra, J.; Huerta, J.; Montoliu, R.; Benitez, F.; & Belmonte, O. Situation Goodness Method for Weighted Centroid-based Wi-Fi APs Localization Proceedings of the Thirdteenth Conference on Location Based Services, 2016.

Others Montoliu, R., Torres-Sospedra, J.; & Belmonte, O. Magnetic Field based Indoor Positioning Using the Bag of Words Paradigm Proceedings of the Seventh International Conference on Indoor Positioning and Indoor Navigation, 2016.

Others Torres-Sospedra, J.; Mendoza-Silva, G. M.; Montoliu, R.; Belmonte, O.; Benitez, F.; & Huerta, J. Ensembles of Indoor Positioning Systems Based on Fingerprinting: Simplifying Parameter Selection and Obtaining Robust Systems Proceedings of the Seventh International Conference on Indoor Positioning and Indoor Navigation, 2016.

Others Torres-Sospedra, J.; Belmonte, O.; Montoliu, R.; Trilles, S. & Calia, A., How feasible is WiFi fingerprint-based indoor positioning for in-home monitoring? Proceedings of the 12th International Conference on Intelligent Environment, 2016.

2015

Workshops Torres-Sospedra, J.; Ana Sanchís, A.; Mauri Benedito-Bordonau, M.; Gould, M. & Huerta, J. SmartUJI: A Platform for SmartCampus Applications Proceedings of the Second Smart University Workshop, 2015.

Others Potortì, F.; Barsocchi, P.; Girolami, M.; Torres-Sospedra, J. & Montoliu, R. Evaluating Indoor Localization Solutions in Large Environments Through Competitive Benchmarking: The EvAAL-ETRI Competition Proceedings of the Sixth Conference on Indoor Positioning and Indoor Navigation, 2015.

Others Torres-Sospedra, J.; Rambla, D.; Montoliu, R.; Belmonte, O. & Huerta, J. UJIIndoorLoc-Mag: A New Database for Magnetic Field-Based Localization Problems Proceedings of the Sixth Conference on Indoor Positioning and Indoor Navigation, 2015.

2014

Others Garcia-Martí, I.; Torres-Sospedra, J.; Rodriguez-Pupo, L. E. & Huerta, J. A comparative study on VGI and professional noise data In proceedings of the 17th AGILE Conference on Geographic Information Science, 2014.

Workshops Marcos, M.; Torres-Sospedra, J. & Martínez-Salvador, B. Assessment of Clinical Guideline Models Based on Metrics for Business Process Models Proceedings of the 6th International Workshop on Knowledge Representation for Health Care, Lecture Notes in Artificial Intelligence, Vol. 8903, pp. 111-120, 2014.

Others Torres-Sospedra, J.; Montoliu, R.; Martínez-Usó, A.; Avariento, J. P.; Arnau, T. J.; Benedito-Bordonau, M. & Huerta, J. UJIIndoorLoc: A New Multi-building and Multi-floor Database for WLAN Fingerprint-based Indoor Localization Problems Proceedings of the Fifth Conference on Indoor Positioning and Indoor Navigation, pp. 261-270, 2014.

2012

Others Nebot, P.; Torres-Sospedra, J. & Recatala, G. Using Neural Networks for Maintenance Tasks in Agriculture: Precise Weed Detection Proceedings of the International Conference of Agricultural Engineering CIGR-Ageng 2012, 2012.

2011

Others A Case Study on Agriture: Distributed HLA-Based Architecture for Agricultural Robotics Nebot, P.; Torres-Sospedra, J. & Martínez, R. Proceedings of the International Symposium on Distributed Computing and Artificial Intelligence. Advances in Intelligent and Soft Computing, Vol. 91, pp. 353-360, 2011.

Others Torres-Sospedra, J. & Nebot, P. Visual Outdoor Path Planner for Orange Groves Based on Ensembles of Neural Networks Proceedings of the 8th International Conference on Informatics in Control, Automation and Robotics, Vol. 2, pp. 223-228, 2011.

Core A Torres-Sospedra, J.; Hernández-Espinosa, C. & Fernández-Redondo, M. Improving Boosting Methods by Generating Specific Training and Validation Sets Proceedings of the International Conference on Neural Information Processing, Part II. Lecture Notes in Computer Science, Vol. 7063, pp. 580-587, 2011.

Core A Torres-Sospedra, J.; Hernández-Espinosa, C. & Fernández-Redondo, M. Using Bagging and Cross-Validation to improve ensembles based on Penalty terms Proceedings of the International Conference on Neural Information Processing, Part II. Lecture Notes in Computer Science, Vol. 7063, pp. 588-595, 2011.

Core A Torres-Sospedra, J.; Hernández-Espinosa, C. & Fernández-Redondo, M. Introducing reordering algorithms to classic well-known ensembles to improve their performance Proceedings of the International Conference on Neural Information Processing, Part II. Lecture Notes in Computer Science, Vol. 7063, pp. 572-579, 2011.

2008

Workshops Torres-Sospedra, J.; Hernández-Espinosa, C. & Fernández-Redondo, M. Decision Fusion on Boosting Ensembles Artificial Neural Networks in Pattern Recognition. Third IAPR Workshop, ANNPR 2008 Paris, France, July 2-4, 2008 Proceedings Lecture Notes in Artificial Intelligence, Vol. 5064, pp. 157-167, 2008.

Workshops Fernández-Redondo, M.; Torres-Sospedra, J. & Hernández-Espinosa, C. The Mixture of Neural Networks as Ensemble Combiner Artificial Neural Networks in Pattern Recognition. Third IAPR Workshop, ANNPR 2008 Paris, France, July 2-4, 2008 Proceedings Lecture Notes in Artificial Intelligence, Vol. 5064, pp. 168-179, 2008.

Workshops Hernández-Espinosa, C.; Torres-Sospedra, J. & Fernández-Redondo, M. Researching on Multi-net systems based on Stacked Generalization Artificial Neural Networks in Pattern Recognition. Third IAPR Workshop, ANNPR 2008 Paris, France, July 2-4, 2008 Proceedings Lecture Notes in Artificial Intelligence, Vol. 5064, pp. 193-204, 2008.

Core B Torres-Sospedra, J.; Hernández-Espinosa, C. & Fernández-Redondo, M. New Results on Combination Methods for Boosting Ensembles Artificial Neural Networks - ICANN 2008 , 18th International Conference, Prague, Czech Republic, September 3-6, 2008, Proceedings Lecture Notes in Computer Science, Vol. 5163, pp. 285-294, 2008.

Core B Torres-Sospedra, J.; Hernández-Espinosa, C. & Fernández-Redondo, M. Adding Diversity in Ensembles of Neural Networks by Reordering the Training Set Artificial Neural Networks - ICANN 2008 , 18th International Conference, Prague, Czech Republic, September 3-6, 2008, Proceedings Lecture Notes in Computer Science, Vol. 5163, pp. 275-284, 2008.

Core A Torres-Sospedra, J.; Hernández-Espinosa, C. & Fernández-Redondo, M. Researching on Combining Boosting Ensembles Proceedings of International Joint Conference on Neural Networks, IJCNN 2008, Hong Kong, pp. 2291-2296, 2008.

2007

Core B Torres-Sospedra, J.; Hernández-Espinosa, C. & Fernández-Redondo, M. Averaged Conservative Boosting: Introducing a New Method to Build Ensembles of Neural Networks Artificial Neural Networks - ICANN 2007. 17th International Conference, Porto, Portugal, September 9-13, 2007, Proceedings, Part I Lecture Notes in Computer Science, Vol. 4668, pp. 309-318, 2007.

Core B Torres-Sospedra, J.; Hernández-Espinosa, C. & Fernández-Redondo, M. Stacking MF Networks to Combine the Outputs Provided by RBF Networks Artificial Neural Networks - ICANN 2007. 17th International Conference, Porto, Portugal, September 9-13, 2007, Proceedings, Part I Lecture Notes in Computer Science, Vol. 4668, pp. 450-459, 2007.

Core A Torres-Sospedra, J.; Hernández-Espinosa, C. & Fernández-Redondo, M. Mixing Aveboost and Conserboost to Improve Boosting Methods Proceedings of International Joint Conference on Neural Networks, IJCNN 2007, Orlando, USA, pp. 672-677, 2007.

Core A Torres-Sospedra, J.; Hernández-Espinosa, C. & Fernández-Redondo, M. Designing a Multilayer Feedforward Ensemble with the Weighted Conservative Boosting Algorithm Proceedings of International Joint Conference on Neural Networks, IJCNN 2007, Orlando, USA, pp. 684-689, 2007.

Core B Torres-Sospedra, J.; Hernández-Espinosa, C. & Fernández-Redondo, M. Improving Adaptive Boosting with a Relaxed Equation to Update the Sampling Distribution Computational and Ambient Intelligence. Lecture Notes in Computer Science, Vol. 4507, pp. 119-126, 2007.

2006

Workshops Torres-Sospedra, J.; Hernández-Espinosa, C. & Fernández-Redondo, M. An Experimental Study on Training Radial Basis Functions by Gradient Descent Artificial Neural Networks in Pattern Recognition. Second IAPR Workshop, ANNPR 2006, Ulm, Germany, August 31-September 2, 2006. Proceedings Lecture Notes in Artificial Intelligence, Vol. 4087, pp. 81-92, 2006.

Workshops Torres-Sospedra, J.; Hernández-Espinosa, C. & Fernández-Redondo, M. Combining MF Networks: A Comparison Among Statistical Methods and Stacked Generalization Artificial Neural Networks in Pattern Recognition. Second IAPR Workshop, ANNPR 2006, Ulm, Germany, August 31-September 2, 2006. Proceedings Lecture Notes in in Artificial Intelligence, Vol. 4087, pp. 210-220, 2006.

Core B Fernández-Redondo, M.; Torres-Sospedra, J. & Hernández-Espinosa, C. Improving the Expert Networks of a Modular Multi-Net System for Pattern Recognition Artificial Neural Networks - ICANN 2006. 16th International Conference, Athens, Greece, September 10-14, 2006. Proceedings, Part I Lecture Notes in Computer Science, Vol. 4131, pp. 293-302, 2006.

Others Torres-Sospedra, J.; Hernández-Espinosa, C. & Fernández-Redondo, M. Improving Adaptive Boosting with k-Cross-Fold Validation Intelligent Computing. International Conference on Intelligent Computing, ICIC 2006, Kunming, China, August 16-19, 2006. Proceedings, Part I Lecture Notes in Computer Science, Vol. 4113, pp. 397-402, 2006.

Others Torres-Sospedra, J.; Hernández-Espinosa, C. & Fernández-Redondo, M. The Mixture of Neural Networks Adapted to Multilayer Feedforward Architecture Intelligent Computing. International Conference on Intelligent Computing, ICIC 2006, Kunming, China, August 16-19, 2006. Proceedings, Part I Lecture Notes in Computer Science, Vol. 4113, pp. 488-493, 2006.

Others Fernández-Redondo, M.; Torres-Sospedra, J. & Hernández-Espinosa, C. Gradient Descent and Radial Basis Functions Intelligent Computing. International Conference on Intelligent Computing, ICIC 2006, Kunming, China, August 16-19, 2006. Proceedings, Part I Lecture Notes in Computer Science, Vol. 4113, pp. 391-396, 2006.

Others Hernández-Espinosa, C.; Torres-Sospedra, J. & Fernández-Redondo, M. Improving the Combination Module with a Neural Network Intelligent Computing. International Conference on Intelligent Computing, ICIC 2006, Kunming, China, August 16-19, 2006. Proceedings, Part I Lecture Notes in Computer Science, Vol. 4113, pp. 146-155, 2006.

Core A Torres-Sospedra, J.; Hernández-Espinosa, C. & Fernández-Redondo, M. Adaptive Boosting: Dividing the Learning Set to Increase the Diversity and Performance of the Ensemble Neural Information Processing. 13th International Conference, ICONIP 2006, Hong Kong, China, October 3-6, 2006, Proceedings, Part I Lecture Notes in Computer Science, Vol. 4232, pp. 688-697, 2006.

Core A Torres-Sospedra, J.; Hernández-Espinosa, C. & Fernández-Redondo, M. Mixture of Neural Networks: Some Experiments with the Multilayer Feedforward Architecture Neural Information Processing. 13th International Conference, ICONIP 2006, Hong Kong, China, October 3-6, 2006, Proceedings, Part I Lecture Notes in Computer Science, Vol. 4232, pp. 616-625, 2006.

Core A Fernández-Redondo, M.; Torres-Sospedra, J. & Hernández-Espinosa, C. Training RBFs Networks: A Comparison among Supervised and not Supervised Algorithms Neural Information Processing. 13th International Conference, ICONIP 2006, Hong Kong, China, October 3-6, 2006, Proceedings, Part I Lecture Notes in Computer Science, Vol. 4232, pp. 477-486, 2006.

Core A Torres-Sospedra, J.; Hernández-Espinosa, C. & Fernández-Redondo, M. Designing a Multilayer Feedforward Ensembles with Cross Validated Boosting Algorithm Proceedings of International Joint Conference on Neural Networks, IJCNN 2006, Vancouver, Canada, pp. 2257-2262, 2006.

Core A Torres-Sospedra, J.; Hernández-Espinosa, C. & Fernández-Redondo, M. Designing a New Multilayer Feedforward Modular Network for Classification Problems Proceedings of International Joint Conference on Neural Networks, IJCNN 2006, Vancouver, Canada, pp. 2263-2268, 2006.

Core A Fernández-Redondo, M.; Torres-Sospedra, J. & Hernández-Espinosa, C. Training Radial Basis Functions by Gradient Descent Proceedings of International Joint Conference on Neural Networks, IJCNN 2006, Vancouver, Canada, pp. 1735-1741, 2006.

2005

Others Torres-Sospedra, J.; Hernández-Espinosa, C. & Fernández-Redondo, M. Combinación de Conjuntos de Redes Multilayer Feedforward Actas del Simposio de Inteligencia Computacional, SICO2005, pp. 11-18, 2005.

Others Fernández-Redondo, M.; Torres-Sospedra, J. & Hernández-Espinosa, C. Combinación de Conjuntos de Redes Radial Basis Functions Actas del Simposio de Inteligencia Computacional, SICO2005, pp. 515-520, 2005.

Others Hernández-Espinosa, C.; Fernández-Redondo, M. & Torres-Sospedra, J. Nuevos experimentos sobre Conjuntos de RNAs. Actas del Simposio de Inteligencia Computacional, SICO2005, pp. 19-25, 2005.

Core B Torres-Sospedra, J.; Fernández-Redondo, M. & Hernández-Espinosa, C. Combination Methods for Ensembles of MF. Artificial Neural Networks: Formal Models and Their Applications - ICANN 2005, 15th International Conference, Warsaw, Poland, September 11-15, 2005, Proceedings, Part II Lecture Notes in Computer Science, Vol. 3697, pp. 133-138, 2005.

Core B Hernández-Espinosa, C.; Torres-Sospedra, J. & Fernández-Redondo, M. Combination Methods for Ensembles of RBFs. Artificial Neural Networks: Formal Models and Their Applications - ICANN 2005, 15th International Conference, Warsaw, Poland, September 11-15, 2005, Proceedings, Part II Lecture Notes in Computer Science, Vol. 3697, pp. 121-126, 2005.

Core B Torres-Sospedra, J.; Hernández-Espinosa, C. & Fernández-Redondo, M. New Results on Ensembles of Multilayer Feedforward. Artificial Neural Networks: Formal Models and Their Applications - ICANN 2005, 15th International Conference, Warsaw, Poland, September 11-15, 2005, Proceedings, Part II Lecture Notes in Computer Science, Vol. 3697, pp. 139-144, 2005.

Core A Torres-Sospedra, J.; Fernández-Redondo, M. & Hernández-Espinosa, C. A Research on Combination Methods for Ensembles of Multilayer Feedforward Proceedings of International Joint Conference on Neural Networks, IJCNN 2005, Montreal, Canada Lecture Notes in Computer Science Vol. 2, pp. 1125-1130, 2005.

Core A Torres-Sospedra, J.; Hernández-Espinosa, C. & Fernandez-Redondo, M. A Comparison of Combination Methods for Ensembles of RBF Networks Proceedings of International Joint Conference on Neural Networks, IJCNN 2005, Montreal, Canada Lecture Notes in Computer Science Vol. 2, pp. 1137-1141, 2005.

Core A Hernández-Espinosa, C.; Torres-Sospedra, J. & Fernández-Redondo, M. New Experiments on Ensembles of Multilayer Feedforward for Classification Problems Proceedings of International Joint Conference on Neural Networks, IJCNN 2005, Montreal, Canada Lecture Notes in Computer Science Vol. 2, pp. 1120-1124, 2005.

Core B Torres-Sospedra, J.; Hernández-Espinosa, C. & Fernández-Redondo, M. Ensembles of Multilayer Feedforward: Some New Results. Computational Intelligence and Bioinspired Systems, 8th International Work-Conference on Artificial Neural Networks, IWANN 2005, Vilanova i la Geltrú, Barcelona, Spain, June 8-10, 2005, Proceedings Lecture Notes in Computer Science, Vol. 3512, pp. 604-611, 2005.

Others Torres-Sospedra, J.; Fernández-Redondo, M. & Hernández-Espinosa, C. Combination Methods for Ensembles of Multilayer Feedforward Proceedings of 6th WSEAS International Conference on Neural Networks, pp. 146-151, 2005.

Others Hernández-Espinosa, C.; Torres-Sospedra, J. & Fernández-Redondo, M. Combination Methods for Ensembles of RBF Networks Proceedings of 6th WSEAS International Conference on Neural Networks, pp. 140-145, 2005.

Others Torres-Sospedra, J.; Hernández-Espinosa, C. & Fernández-Redondo, M. Ensembles of Multilayer Feedforward: A New Comparison Proceedings of 6th WSEAS International Conference on Neural Networks, pp. 152-157, 2005.

2004

Core C Hernández-Espinosa, C.; Fernández-Redondo, M. & Torres-Sospedra, J. Experiments on Ensembles of Radial Basis Functions. Artificial Intelligence and Soft Computing - ICAISC 2004, 7th International Conference, Zakopane, Poland, June 7-11, 2004, Proceedings Lecture Notes in Computer Science, Vol. 3070, pp. 197-202, 2004.

Core C Fernández-Redondo, M.; Hernández-Espinosa, C.; Ortiz-Gómez, M. & Torres-Sospedra, J. Training Radial Basis Functions by Gradient Descent. Artificial Intelligence and Soft Computing - ICAISC 2004, 7th International Conference, Zakopane, Poland, June 7-11, 2004, Proceedings Lecture Notes in Computer Science, Vol. 3070, pp. 184-189, 2004.

Core A Fernández-Redondo, M.; Hernández-Espinosa, C. & Torres-Sospedra, J. Multilayer Feedforward Ensembles for Classification Problems. Neural Information Processing, 11th International Conference, ICONIP 2004, Calcutta, India, November 22-25, 2004, Proceedings Lecture Notes in Computer Science, Vol. 3316, pp. 744-749, 2004.

Core A Fernández-Redondo, M.; Hernández-Espinosa, C.; Ortiz-Gómez, M. & Torres-Sospedra, J. Some Experiments on Training Radial Basis Functions by Gradient Descent. Neural Information Processing: 11th International Conference, ICONIP 2004, Calcutta, India, November 22-25, 2004. Proceedings. Lecture Notes in Computer Science, Vol. 3316, pp. 428-433, 2004.

Core A Fernández-Redondo, M.; Hernández-Espinosa, C. & Torres-Sospedra, J. Hyperspectral Image Classification by Ensembles of Multilayer Feedforward Networks Proceedings of the International Joint Conference on Neural Networks, IJCNN 2004, Budapest, Hungary Vol. 2, pp. 1145 - 1149, 2004.

Core C Fernández-Redondo, M.; Hernández-Espinosa, C. & Torres-Sospedra, J. Classification by Multilayer Feedforward Ensembles. Advances in Neural Networks - ISNN 2004, International Symposium on Neural Networks, Dalian, China, August 19-21, 2004, Proceedings, Part I. Lecture Notes in Computer Science, Vol. 3173, pp. 852-857, 2004.

Core C Hernández-Espinosa, C.; Fernández-Redondo, M. & Torres-Sospedra, J. Some Experiments with Ensembles of Neural Networks for Classification of Hyperspectral Images. Advances in Neural Networks - ISNN 2004, International Symposium on Neural Networks, Dalian, China, August 19-21, 2004, Proceedings, Part I Lecture Notes in Computer Science, Vol. 3173, pp. 912-917, 2004.

Core C Hernández-Espinosa, C.; Fernández-Redondo, M. & Torres-Sospedra, J. Ensembles of RBFs Trained by Gradient Descent. Advances in Neural Networks - ISNN 2004, International Symposium on Neural Networks, Dalian, China, August 19-21, 2004, Proceedings, Part I Lecture Notes in Computer Science, Vol. 3173, pp. 223-228, 2004.

Core C Fernández-Redondo, M.; Hernández-Espinosa, C.; Ortiz-Gómez, M. & Torres-Sospedra, J. Gradient Descent Training of Radial Basis Functions. Advances in Neural Networks - ISNN 2004, International Symposium on Neural Networks, Dalian, China, August 19-21, 2004, Proceedings, Part I Lecture Notes in Computer Science, Vol. 3173, pp. 229-234, 2004.

Core B Hernández-Espinosa, C.; Fernández-Redondo, M. & Torres-Sospedra, J. Some Experiments on Ensembles of Neural Networks for Hyperspectral Image Classification. Knowledge-Based Intelligent Information and Engineering Systems, 8th International Conference, KES 2004, Wellington, New Zealand, September 20-25, 2004. Proceedings. Part I Lecture Notes in Computer Science, Vol. 3213, pp. 677-684, 2004.

Workshops Hernández-Espinosa, C.; Fernández-Redondo, M. & Torres-Sospedra, J. First Experiments on Ensembles of Radial Basis Functions. Multiple Classifier Systems. 5th International Workshop, MCS 2004, Cagliari, Italy, June 9-11, 2004. Proceedings Lecture Notes in Computer Science, Vol. 3077, pp. 253-262, 2004.

2011

Torres-Sospedra, J.; Hernández-Espinosa, C. & Fernández-Redondo, M. Improving Boosting Methods by Generating Specific Training and Validation Sets Proceedings of the International Conference on Neural Information Processing, Part II. Lecture Notes in Computer Science, Vol. 7063, pp. 580-587, 2011.

Torres-Sospedra, J.; Hernández-Espinosa, C. & Fernández-Redondo, M. Using Bagging and Cross-Validation to improve ensembles based on Penalty terms Proceedings of the International Conference on Neural Information Processing, Part II. Lecture Notes in Computer Science, Vol. 7063, pp. 588-595, 2011.

Torres-Sospedra, J.; Hernández-Espinosa, C. & Fernández-Redondo, M. Introducing reordering algorithms to classic well-known ensembles to improve their performance Proceedings of the International Conference on Neural Information Processing, Part II. Lecture Notes in Computer Science, Vol. 7063, pp. 572-579, 2011.

2008

Torres-Sospedra, J.; Hernández-Espinosa, C. & Fernández-Redondo, M. Researching on Combining Boosting Ensembles Proceedings of International Joint Conference on Neural Networks, IJCNN 2008, Hong Kong, pp. 2291-2296, 2008.

2007

Torres-Sospedra, J.; Hernández-Espinosa, C. & Fernández-Redondo, M. Mixing Aveboost and Conserboost to Improve Boosting Methods Proceedings of International Joint Conference on Neural Networks, IJCNN 2007, Orlando, USA, pp. 672-677, 2007.

Torres-Sospedra, J.; Hernández-Espinosa, C. & Fernández-Redondo, M. Designing a Multilayer Feedforward Ensemble with the Weighted Conservative Boosting Algorithm Proceedings of International Joint Conference on Neural Networks, IJCNN 2007, Orlando, USA, pp. 684-689, 2007.

2006

Torres-Sospedra, J.; Hernández-Espinosa, C. & Fernández-Redondo, M. Adaptive Boosting: Dividing the Learning Set to Increase the Diversity and Performance of the Ensemble Neural Information Processing. 13th International Conference, ICONIP 2006, Hong Kong, China, October 3-6, 2006, Proceedings, Part I Lecture Notes in Computer Science, Vol. 4232, pp. 688-697, 2006.

Torres-Sospedra, J.; Hernández-Espinosa, C. & Fernández-Redondo, M. Mixture of Neural Networks: Some Experiments with the Multilayer Feedforward Architecture Neural Information Processing. 13th International Conference, ICONIP 2006, Hong Kong, China, October 3-6, 2006, Proceedings, Part I Lecture Notes in Computer Science, Vol. 4232, pp. 616-625, 2006.

Fernández-Redondo, M.; Torres-Sospedra, J. & Hernández-Espinosa, C. Training RBFs Networks: A Comparison among Supervised and not Supervised Algorithms Neural Information Processing. 13th International Conference, ICONIP 2006, Hong Kong, China, October 3-6, 2006, Proceedings, Part I Lecture Notes in Computer Science, Vol. 4232, pp. 477-486, 2006.

Torres-Sospedra, J.; Hernández-Espinosa, C. & Fernández-Redondo, M. Designing a Multilayer Feedforward Ensembles with Cross Validated Boosting Algorithm Proceedings of International Joint Conference on Neural Networks, IJCNN 2006, Vancouver, Canada, pp. 2257-2262, 2006.

Torres-Sospedra, J.; Hernández-Espinosa, C. & Fernández-Redondo, M. Designing a New Multilayer Feedforward Modular Network for Classification Problems Proceedings of International Joint Conference on Neural Networks, IJCNN 2006, Vancouver, Canada, pp. 2263-2268, 2006.

Fernández-Redondo, M.; Torres-Sospedra, J. & Hernández-Espinosa, C. Training Radial Basis Functions by Gradient Descent Proceedings of International Joint Conference on Neural Networks, IJCNN 2006, Vancouver, Canada, pp. 1735-1741, 2006.

2005

Torres-Sospedra, J.; Fernández-Redondo, M. & Hernández-Espinosa, C. A Research on Combination Methods for Ensembles of Multilayer Feedforward Proceedings of International Joint Conference on Neural Networks, IJCNN 2005, Montreal, Canada Lecture Notes in Computer Science Vol. 2, pp. 1125-1130, 2005.

Torres-Sospedra, J.; Hernández-Espinosa, C. & Fernández-Redondo, M. A Comparison of Combination Methods for Ensembles of RBF Networks Proceedings of International Joint Conference on Neural Networks, IJCNN 2005, Montreal, Canada Lecture Notes in Computer Science Vol. 2, pp. 1137-1141, 2005.

Hernández-Espinosa, C.; Torres-Sospedra, J. & Fernández-Redondo, M. New Experiments on Ensembles of Multilayer Feedforward for Classification Problems Proceedings of International Joint Conference on Neural Networks, IJCNN 2005, Montreal, Canada Lecture Notes in Computer Science Vol. 2, pp. 1120-1124, 2005.

2004

Fernández-Redondo, M.; Hernández-Espinosa, C. & Torres-Sospedra, J. Multilayer Feedforward Ensembles for Classification Problems. Neural Information Processing, 11th International Conference, ICONIP 2004, Calcutta, India, November 22-25, 2004, Proceedings Lecture Notes in Computer Science, Vol. 3316, pp. 744-749, 2004.

Fernández-Redondo, M.; Hernández-Espinosa, C.; Ortiz-Gómez, M. & Torres-Sospedra, J. Some Experiments on Training Radial Basis Functions by Gradient Descent. Neural Information Processing: 11th International Conference, ICONIP 2004, Calcutta, India, November 22-25, 2004. Proceedings. Lecture Notes in Computer Science, Vol. 3316, pp. 428-433, 2004.

Fernández-Redondo, M.; Hernández-Espinosa, C. & Torres-Sospedra, J. Hyperspectral Image Classification by Ensembles of Multilayer Feedforward Networks Proceedings of the International Joint Conference on Neural Networks, IJCNN 2004, Budapest, Hungary Vol. 2, pp. 1145 - 1149, 2004.

2025

Bellavista-Parent, V.; Torres-Sospedra, J.; Perez-Navarro, A.; Comparison of Multilateration using Wi-Fi RSSI and 5G ToA in a High School Scenario Proceedings of the 101th Vehicular Technology Conference (VTC2025-Spring), 2025.

2024

Klus, L.; Klus, R.; Torres-Sospedra, J.; Lohan, E. S.; Silva, I.; Pendão, C.; Valkama, M.} Enabling Dynamic Indoor Localization by Employing Intersection over Union as a Metric Proceedings of the 100th Vehicular Technology Conference (VTC2024-Fall), 2024.

2022

Ramires, M.; Torres-Sospedra, J.; Moreira, A. Accurate and Efficient Wi-Fi Fingerprinting-based Indoor Positioning in Large Areas Proceedings of the 2022 IEEE 96th Vehicular Technology Conference: (VTC2022-Fall) , 2022.

Pascacio, P.; Torres-Sospedra, J.; Casteleyn, S.; Lohan, E.S.; A Collaborative Approach Using Neural Network for BLE-RSS Lateration-Based Indoor Positioning Proceedings of the 2022 International Joint Conference on Neural Networks (IJCNN) co-located at the IEEE World Congress on Computational Intelligence 2022 (WCCI 2022) , 2022.

Quezada-Gaibor, D.; Klus, Lucie; Torres-Sospedra, J.; Lohan, E.S.; Nurmi J.; Granell, C. and Huerta J.; Data Cleansing for Indoor Positioning Wi-Fi Fingerprinting Datasets Proceedings of the 23rd IEEE International Conference on Mobile Data Management (MDM) , 2022.

2021

Pascacio, P.; Torres-Sospedra, J.; Casteleyn, S. A Lateration Method based on Effective Combinatorial Beacon Selection for Bluetooth Low Energy Indoor Positioning Proceedings of the 17th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob) , 2021.

Casanova-Marques, R.; Pascacio, P.; Hajny, J.; Torres-Sospedra, J. Anonymous Attribute-based Credentials in Collaborative Indoor Positioning Systems Proceedings of the 18th International Conference on Security and Cryptography - SECRYPT, ISBN 978-989-758-524-1, pages 791-797, 2021.

Torres-Sospedra, J.; Aranda, F.J.; Álvarez, F.J.; Quezada-Gaibor, D.; Silva, I.; Pendão, C.; Moreira, A. Ensembling Multiple Radio Maps with Dynamic Noise in Fingerprint-based Indoor Positioning Proceedings of the 2021 IEEE 93rd Vehicular Technology Conference (VTC2021-Spring), 2021.

Mendoza-Silva G.M.; Torres-Sospedra, J.; Huerta, J. Local-level Analysis of Positioning Errors in Wi-Fi Fingerprinting Proceedings of the 2021 IEEE 93rd Vehicular Technology Conference (VTC2021-Spring), 2021.

2008

Torres-Sospedra, J.; Hernández-Espinosa, C. & Fernández-Redondo, M. New Results on Combination Methods for Boosting Ensembles Artificial Neural Networks - ICANN 2008 , 18th International Conference, Prague, Czech Republic, September 3-6, 2008, Proceedings Lecture Notes in Computer Science, Vol. 5163, pp. 285-294, 2008.

Torres-Sospedra, J.; Hernández-Espinosa, C. & Fernández-Redondo, M. Adding Diversity in Ensembles of Neural Networks by Reordering the Training Set Artificial Neural Networks - ICANN 2008 , 18th International Conference, Prague, Czech Republic, September 3-6, 2008, Proceedings Lecture Notes in Computer Science, Vol. 5163, pp. 275-284, 2008.

2007

Torres-Sospedra, J.; Hernández-Espinosa, C. & Fernández-Redondo, M. Averaged Conservative Boosting: Introducing a New Method to Build Ensembles of Neural Networks Artificial Neural Networks - ICANN 2007. 17th International Conference, Porto, Portugal, September 9-13, 2007, Proceedings, Part I Lecture Notes in Computer Science, Vol. 4668, pp. 309-318, 2007.

Torres-Sospedra, J.; Hernández-Espinosa, C. & Fernández-Redondo, M. Stacking MF Networks to Combine the Outputs Provided by RBF Networks Artificial Neural Networks - ICANN 2007. 17th International Conference, Porto, Portugal, September 9-13, 2007, Proceedings, Part I Lecture Notes in Computer Science, Vol. 4668, pp. 450-459, 2007.

Torres-Sospedra, J.; Hernández-Espinosa, C. & Fernández-Redondo, M. Improving Adaptive Boosting with a Relaxed Equation to Update the Sampling Distribution Computational and Ambient Intelligence. Lecture Notes in Computer Science, Vol. 4507, pp. 119-126, 2007.

2006

Fernández-Redondo, M.; Torres-Sospedra, J. & Hernández-Espinosa, C. Improving the Expert Networks of a Modular Multi-Net System for Pattern Recognition Artificial Neural Networks - ICANN 2006. 16th International Conference, Athens, Greece, September 10-14, 2006. Proceedings, Part I Lecture Notes in Computer Science, Vol. 4131, pp. 293-302, 2006.

2005

Torres-Sospedra, J.; Fernández-Redondo, M. & Hernández-Espinosa, C. Combination Methods for Ensembles of MF. Artificial Neural Networks: Formal Models and Their Applications - ICANN 2005, 15th International Conference, Warsaw, Poland, September 11-15, 2005, Proceedings, Part II Lecture Notes in Computer Science, Vol. 3697, pp. 133-138, 2005.

Hernández-Espinosa, C.; Torres-Sospedra, J. & Fernández-Redondo, M. Combination Methods for Ensembles of RBFs. Artificial Neural Networks: Formal Models and Their Applications - ICANN 2005, 15th International Conference, Warsaw, Poland, September 11-15, 2005, Proceedings, Part II Lecture Notes in Computer Science, Vol. 3697, pp. 121-126, 2005.

Torres-Sospedra, J.; Hernández-Espinosa, C. & Fernández-Redondo, M. New Results on Ensembles of Multilayer Feedforward. Artificial Neural Networks: Formal Models and Their Applications - ICANN 2005, 15th International Conference, Warsaw, Poland, September 11-15, 2005, Proceedings, Part II Lecture Notes in Computer Science, Vol. 3697, pp. 139-144, 2005.

Torres-Sospedra, J.; Hernández-Espinosa, C. & Fernández-Redondo, M. Ensembles of Multilayer Feedforward: Some New Results. Computational Intelligence and Bioinspired Systems, 8th International Work-Conference on Artificial Neural Networks, IWANN 2005, Vilanova i la Geltrú, Barcelona, Spain, June 8-10, 2005, Proceedings Lecture Notes in Computer Science, Vol. 3512, pp. 604-611, 2005.

2004

Hernández-Espinosa, C.; Fernández-Redondo, M. & Torres-Sospedra, J. Some Experiments on Ensembles of Neural Networks for Hyperspectral Image Classification. Knowledge-Based Intelligent Information and Engineering Systems, 8th International Conference, KES 2004, Wellington, New Zealand, September 20-25, 2004. Proceedings. Part I Lecture Notes in Computer Science, Vol. 3213, pp. 677-684, 2004.

2025

Jimenez Ruiz, A. R., Torres-Sospedra, J., Ruiz-Ruiz, L. Dense Ground Truth for Indoor Localization Competitions: Foot-mounted IMU-Enhanced Evaluation Proceedings of the Workshop for Computing & Advanced Localization at the Fifteenth International Conference on Indoor Positioning and Indoor Navigation (IPIN-WCAL 2025)., 2025. online

IPIN-WCAL2025 - Best WCAL Paper Award

Din, T. C.; and Torres-Sospedra, J. BLE Antenna characterization in real environments Proceedings of the Fifteenth International Conference on Indoor Positioning and Indoor Navigation, 2025.

Ramires, M.; Torres-Sospedra, J., Puga, J.; Machado, N.; Moreira, A.; and Meneses, F. A Multiple BLE Beacon Approach for Tracking in Industrial Environments Proceedings of the Fifteenth International Conference on Indoor Positioning and Indoor Navigation, 2025.

Matey-Sanz, M.; and Torres-Sospedra, J. Comparative Analysis of Indoor Positioning Approaches with Wi-Fi RTT from Android Devices Proceedings of the Fifteenth International Conference on Indoor Positioning and Indoor Navigation, 2025.

IPIN2025 - Best Paper Award (Runner-up)

Díaz-Jiménez, D.; López-Ruiz, J. L.; Espinilla, M.; Ramires, M.; and Torres-Sospedra, J. Toward more reliable wireless localization: Evaluation of a novel configurable Beacon Proceedings of the Fifteenth International Conference on Indoor Positioning and Indoor Navigation, 2025.

Silva, I.; Torres-Sospedra, J. and Pendao, C.; Is Wi-Fi fingerprinting enough to estimate the current floor in real-world deployments? Proceedings of the Fifteenth International Conference on Indoor Positioning and Indoor Navigation, 2025.

Ferrato, A.;Fabio Gasparetti, Limongelli, C.; Mastandrea, S.; Sansonetti, G.; and Torres-Sospedra, J. Cross-platform Smartphone Positioning at Museums Proceedings of the Fifteenth International Conference on Indoor Positioning and Indoor Navigation, 2025.

Pérez-Senosiain, D.; Matey-Sanz, M.; and Torres-Sospedra, J. Evaluating Wi-Fi Round Trip Time for Accurate Indoor Positioning with Android Smartphones Proceedings of the Fifteenth International Conference on Indoor Positioning and Indoor Navigation, 2025.

Torres-Sospedra, J.; Montoliu, R.; and Perez-Navarro, A. UJIIndoorLoc Dataset: A Retrospective Analysis after 10 Years of Usage Proceedings of the Fifteenth International Conference on Indoor Positioning and Indoor Navigation, 2025.

2024

Anagnostopoulos, G. G.; Barsocchi, P.; Crivello, A.; Pendão, C.; Silva, I.; and Torres-Sospedra, J. Evaluating Open Science Practices in Indoor Positioning and Indoor Navigation Research: A Survey of the IPIN’s Reference Papers of 2022 and 2023 Editions Proceedings of the Fourthteenth International Conference on Indoor Positioning and Indoor Navigation, 2024.

IPIN2024 - Best Paper Award

Din, T. C.; Huerta, J.; Trilles, S.; and Torres-Sospedra, J. Feasibility Analysis of Self-oriented Antennas for Indoor Positioning based on Direction-of-Arrival and Bluetooth-Low-Energy Proceedings of the Fourthteenth International Conference on Indoor Positioning and Indoor Navigation, 2024.

2023

Matey-Sanz, M.; Torres-Sospedra, J.; González-Pérez, A.; Casteleyn, S.; and Granell, C. Analysis and Impact of Training Set Size in Cross-Subject Human Activity Recognition Pattern Recognition, Image Analysis, Computer Vision, and Applications (CIARP 2023), Lecture Notes in Computer Science, vol 14469, 2023.

Brunello, A.; Montanari, A.; Saccomanno, N.; and Torres-Sospedra, J. High-Performance Features in Generalizable Fingerprint-based Indoor Positioning Proceedings of the 20th EAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 593. Springer, Cham., 2023.

Aranda-Polo, F.J.; Parralejo, F.; Aguilera-Benítez, T.; Álvarez-Franco, F.J.; and Torres-Sospedra, J. RSS Channel-Based Integration for BLE Fingerprinting Positioning Proceedings of the Thirdteenth International Conference on Indoor Positioning and Indoor Navigation, 2023.

Lluva-Plaza, S.; Torres-Sospedra, J.; Garcia, J.J.; Villadangos, J.M.; and Jimenez-Martín, A. Unsupervised Analysis of Daily Routine Evolution for Elderly People Using Room-Level Localisation Proceedings of the Thirdteenth International Conference on Indoor Positioning and Indoor Navigation, 2023.

Bravenec, T.; Torres-Sospedra, J.; Gould, M.; and Fryza, T. UJI Probes: Dataset of Wi-Fi Probe Requests Proceedings of the Thirdteenth International Conference on Indoor Positioning and Indoor Navigation, 2023.

Díez-González, J.; Verde, P.; Ferrero-Guillén, R.; Martínez-Gutiérrez, A.; Álvarez, R.; Perez, H.; and Torres-Sospedra, J. Asynchronous time-based proposal for the positioning of UAVs for indoor TV filming Proceedings of the Thirdteenth International Conference on Indoor Positioning and Indoor Navigation, 2023.

Matey, M.; Torres-Sospedra, J.; and Moreira, A. Temporal Stability on Human Activity Recognition based on Wi-Fi CSI Proceedings of the Thirdteenth International Conference on Indoor Positioning and Indoor Navigation, 2023.

Pendão, C.; Silva, I.; Moreira, A.; Aranda-Polo, F.J.; and Torres-Sospedra, J. Towards Quality Wi-Fi Synthetic Data for Indoor Positioning Evaluation Proceedings of the Thirdteenth International Conference on Indoor Positioning and Indoor Navigation, 2023.

Silva, I.; Pendão, C.; Torres-Sospedra, J.; and Moreira, A. Overcoming Radio Map Degradation in Wi-Fi-based Positioning Systems Proceedings of the Thirdteenth International Conference on Indoor Positioning and Indoor Navigation, 2023.

Torres-Sospedra, J.; Pendão, C.; Silva, I.; Meneses, F.; Quezada-Gaibor, D.; Montoliu, R.; Crivello, A.; Barsocchi, P.; Perez-Navarro, A.; and Moreira, A. Let's Talk about k-NN for Indoor Positioning: Myths and Facts in RF-based Fingerprinting Proceedings of the Thirdteenth International Conference on Indoor Positioning and Indoor Navigation, 2023.

2022

Quezada-Gaibor, D.; Torres-Sospedra, J.; Nurmi, J.; Koucheryavy, Y.; Huerta, J.; SURIMI: Supervised Radio Map Augmentation with Deep Learning and a Generative Adversarial Network for Fingerprint-based Indoor Positioning Proceedings of the Twelfth International Conference on Indoor Positioning and Indoor Navigation, 2022.

Bravenec, T.; Torres-Sospedra, J.; Gould, M.; Fryza, T.; What Your Wearable Devices Revealed About You and Possibilities of Non-Cooperative 802.11 Presence Detection During Your Last IPIN Visit Proceedings of the Twelfth International Conference on Indoor Positioning and Indoor Navigation, 2022.

2021

Rodriguez-Martinez, C.; Torres-Sospedra, J.; Revisiting the Analysis of Hyperparameters in k-NN for Wi-Fi and BLE Fingerprinting: Current Status and General Results Proceedings of the Eleventh International Conference on Indoor Positioning and Indoor Navigation, 2021.

Silva, I.; Pendão, C.; Torres-Sospedra, J.; Moreira, A.; Quantifying the Degradation of Radio Maps in Wi-Fi Fingerprinting Proceedings of the Eleventh International Conference on Indoor Positioning and Indoor Navigation, 2021.

Pendão, C.; Silva, I.; Moreira, A.; Torres-Sospedra, J.; Dioptra – A Data Generation Application for Indoor Positioning Systems Proceedings of the Eleventh International Conference on Indoor Positioning and Indoor Navigation, 2021.

Bellavista-Parent, V.; Torres-Sospedra, J.; Perez-Navarro, A.; New trends in indoor positioning based on WiFi and machine learning: A systematic review Proceedings of the Eleventh International Conference on Indoor Positioning and Indoor Navigation, 2021.

Quezada-Gaibor, D.; Torres-Sospedra, J.; Nurmi, J.; Koucheryavy, Y.; Huerta, J.; Lightweight Wi-Fi Fingerprinting with a Novel RSS Clustering Algorithm Proceedings of the Eleventh International Conference on Indoor Positioning and Indoor Navigation, 2021.

de Brouwer, R.; Torres-Sospedra, J.; Trilles, S.; Berkvens, R.; Optimal Receivers Location for Passive Indoor Positioning based on BLE WiP Proceedings of the Eleventh International Conference on Indoor Positioning and Indoor Navigation, 2021. paper

Aranda-Polo, F. J.; Parralejo, F.; Aguilera, T.; Benítez, Álvarez-Franco, F. J.; Torres-Sospedra, J.; Finding Optimal BLE Configuration for Indoor Positioning with Consumption Restrictions Proceedings of the Eleventh International Conference on Indoor Positioning and Indoor Navigation, 2021.

Klus, R.; Klus, L.; Talvitie, J.; Pihlajasalo, J.; Torres-Sospedra, J.; Valkama, M.; Transfer Learning for Convolutional Indoor Positioning Systems Proceedings of the Eleventh International Conference on Indoor Positioning and Indoor Navigation, 2021.

Torres-Sospedra, J.; Silva, I.; Klus, L.; Quezada-Gaibor, D.; Crivello, A.; Barsocchi, P.; Pendão, C.; Lohan, S.; Nurmi, J.; Moreira, A.; Towards Ubiquitous Indoor Positioning: Comparing Systems across Heterogeneous Datasets Proceedings of the Eleventh International Conference on Indoor Positioning and Indoor Navigation, 2021.

Jurado, E.; Trilles, S.; Perez-Navarro, A.; Torres-Sospedra, J.; A low-cost control occupancy solution using a Time-of-Flight ranging sensor laser WiP Proceedings of the Eleventh International Conference on Indoor Positioning and Indoor Navigation, 2021. paper

Jimenez, A.; Miranda, I.; García, J. J.; Torres-Sospedra, J.; Lluva-Plaza, S.; Gualda-Gómez, D.; Affinity Propagation Clustering for Older Adults Daily Routine Estimation Proceedings of the Eleventh International Conference on Indoor Positioning and Indoor Navigation, 2021.

2004

Hernández-Espinosa, C.; Fernández-Redondo, M. & Torres-Sospedra, J. Experiments on Ensembles of Radial Basis Functions. Artificial Intelligence and Soft Computing - ICAISC 2004, 7th International Conference, Zakopane, Poland, June 7-11, 2004, Proceedings Lecture Notes in Computer Science, Vol. 3070, pp. 197-202, 2004.

Fernández-Redondo, M.; Hernández-Espinosa, C.; Ortiz-Gómez, M. & Torres-Sospedra, J. Training Radial Basis Functions by Gradient Descent. Artificial Intelligence and Soft Computing - ICAISC 2004, 7th International Conference, Zakopane, Poland, June 7-11, 2004, Proceedings Lecture Notes in Computer Science, Vol. 3070, pp. 184-189, 2004.

Fernández-Redondo, M.; Hernández-Espinosa, C. & Torres-Sospedra, J. Classification by Multilayer Feedforward Ensembles. Advances in Neural Networks - ISNN 2004, International Symposium on Neural Networks, Dalian, China, August 19-21, 2004, Proceedings, Part I. Lecture Notes in Computer Science, Vol. 3173, pp. 852-857, 2004.

Hernández-Espinosa, C.; Fernández-Redondo, M. & Torres-Sospedra, J. Some Experiments with Ensembles of Neural Networks for Classification of Hyperspectral Images. Advances in Neural Networks - ISNN 2004, International Symposium on Neural Networks, Dalian, China, August 19-21, 2004, Proceedings, Part I Lecture Notes in Computer Science, Vol. 3173, pp. 912-917, 2004.

Hernández-Espinosa, C.; Fernández-Redondo, M. & Torres-Sospedra, J. Ensembles of RBFs Trained by Gradient Descent. Advances in Neural Networks - ISNN 2004, International Symposium on Neural Networks, Dalian, China, August 19-21, 2004, Proceedings, Part I Lecture Notes in Computer Science, Vol. 3173, pp. 223-228, 2004.

Fernández-Redondo, M.; Hernández-Espinosa, C.; Ortiz-Gómez, M. & Torres-Sospedra, J. Gradient Descent Training of Radial Basis Functions. Advances in Neural Networks - ISNN 2004, International Symposium on Neural Networks, Dalian, China, August 19-21, 2004, Proceedings, Part I Lecture Notes in Computer Science, Vol. 3173, pp. 229-234, 2004.

2026

Santamaria-Pedrón, J. C.; Reaño, C.; Torres-Sospedra, J. Lightweight Convolutional Autoencoder for Unsupervised NLOS Identification in UWB Positioning Proceedings of the 2026 IEEE International Instrumentation and Measurement Technology Conference (I2MTC), 2026. Presented at I2MTC 2026.

Martín-Frechina, S.; Martinez, E.; Torres-Sospedra, J. Advancing BLE Angle-of-Arrival Estimation with Deep Learning Proceedings of the 2026 IEEE International Instrumentation and Measurement Technology Conference (I2MTC), 2026. Presented at I2MTC 2026.

Bellavista-Parent, V.; Garcia-Lozano, M.; Perez-Navarro, A.; Torres-Sospedra, J. Open Real-World Dataset and Evaluation of TOA Multilateration and RSRP Fingerprinting for 5G NR Indoor Localization Proceedings of the 2026 IEEE International Instrumentation and Measurement Technology Conference (I2MTC), 2026. Presented at I2MTC 2026.

Ramires, M.; Torres-Sospedra, J.; Navarro Camba, E.; Meneses, F.; Moreira, A. Open challenges in BLE-based Direction-of-Arrival estimation Proceedings of the IEEE International Conference on Communications: IoT & Sensor Networks (ICC 2026), 2026. Presented at ICC 2026.

2025

Díaz Jiménez, D.; López Ruiz, J. L.; Torres-Sospedra, J.; Matey-Sanz, M.; Espinilla Estévez, M. Smart Sensing Framework: A Custom Beacon Architecture for Mobile Data Logging Proceedings of the 17th International Conference on Ubiquitous Computing & Ambient Intelligence (UCAmI 2025), 2025. Presented at UCAMI 2025.

Matey-Sanz, M.; Claver, J. M.; Martinez, E.; Felici-Castell, S.; Montoliu, R.; Pérez-Navarro, A.; Perez, J. J.; Soriano, A.; Trilles, S.; Torres-Sospedra, J. Fingerprinting with Fine Time Measurements: from RSS to RTT Proceedings of the 17th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops, 2025. Accpeted, to be presented at ICUMT 2025.

Serrano, T.; and Torres-Sospedra, J. Enhanced Radio Map for Wi-Fi Fingerprinting Using PDR and Particle Filter Proceedings of 2025 IEEE SENSORS, 2025. Accpeted, to be presented at IEEE SENSORS 2025.

Ramires, M. Aranda, F. J., Torres-Sospedra, J., Moreira, A., Meneses, F. Enhancing Direction-of-Arrival Estimation via Sliding Window and Filtering of Phase-Differences Proceedings of the 2025 International Conference on Localization and GNSS (ICL-GNSS), 2025.

Quezada-Gaibor, D.; Matey-Sanz, M.; Huerta, J.; and Torres-Sospedra, J.;/span> Modular Fingerprinting and Deep Learning: A New Training Approach Proceedings of the 3rd International IEEE Applied Sensing Conference (APSCON), 2025.

APSCON2025 - Best Paper Award (Runner Up)

2024

Din, T. C.; Matey-Sanz, M.; Bautista; A.; Trilles, S.; and Torres-Sospedra, J. Feasibility Analysis of Self-Oriented BLE Anchors Powered by NEMA Motors for DoA-based Indoor Positioning Proceedings of the 16th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops(ICUMT), 2024.

Valero-Abundio, C.; Montoliu, R.; Martínez-García, M.; Sansano-Sansano, E.; Torres-Sospedra, J.; and Pérez-Navarro, A. Error Bound Estimation for Fingerprinting-Based Indoor Positioning Systems Using Monte Carlo Simulations Proceedings of the 16th International Congress on Ultra Modern Telecommunications and Control Systems (ICUMT), 2024. Accepted in press!

Valero-Abundio, C.; Montoliu, R.; Martínez-García, M.; Sansano-Sansano, E.; Torres-Sospedra, J.; and Pérez-Navarro, A. Using ellipses to improve the estimation of the error bound on indoor positioning problems 4th International Symposium on Sensing and Instrumentation in IoT Era (ISSI-IOT), 2024.

ISSI-IOT2024 - Best Student Paper Award

Royet, L.; Torres-Sospedra, J.; Montoliu, R.; and Pérez-Navarro, A. Analysis of the origin of differences in position among different fingerprinting datasets 4th International Symposium on Sensing and Instrumentation in IoT Era (ISSI-IOT), 2024.

Torres-Sospedra, J.; Silva, I.; Pendão, C.; Meneses, F.; and Moreira, A. Hyperparameterless k-NN for Wi-Fi Fingerprinting 2024 International Conference on Localization and GNSS (ICL-GNSS), 2024.

2023

Kumar, R.; Torres-Sospedra, J.; Chaurasiya, V.K.; Datasets for Indoor Positioning with Single-AP Wi-Fi Fingerprinting Proceedings of the 2023 International Conference on Localization and GNSS (ICL-GNSS), WIPHAL 2023 Work-in-Progress in Hardware and Software for Location Computation 2023 , 2023.

2022

Montoliu, R.; Perez-Navarro, A.; Torres-Sospedra, J.; Efficient tuning of kNN hyperparameters for indoor positioning with N-TBEA Proceedings of the Twelfth International Conference on Indoor Positioning and Indoor Navigation, 2022.

Bravenec, T.; Torres-Sospedra, J.; Gould, M.; Fryza, T.; Exploration of User Privacy in 802.11 Probe Requests with MAC Address Randomization Using Temporal Pattern Analysis Proceedings of the 17th International Conference on Location Based Services (LBS), 2022.

Klus, Lucie; Quezada-Gaibor, D.; Torres-Sospedra, J.; Lohan, E.S.; Granell, C. and Nurmi J.; Towards Accelerated Localization Performance Across Indoor Positioning Datasets Proceedings of the 2022 International Conference on Localization and GNSS (ICL-GNSS) , 2022.

Quezada-Gaibor, D.; Torres-Sospedra, J.; Nurmi, J.; Koucheryavy, Y.; Huerta, J.; Lightweight Hybrid CNN-ELM Model for Multi-building and Multi-floor Classification Proceedings of the 2022 International Conference on Localization and GNSS (ICL-GNSS) , 2022.

Torres-Sospedra, J.; Aernouts, M.; Moreira, A.; Berkvens, R.; LoRaWAN Fingerprinting with K-Means: the Relevance of Clusters Visual Inspection in ICL-GNSS 2022 WiP Proceedings co-located with 12th International Conference on Localization and GNSS (2022), 2022. link

2021

Pascacio, P.; Casteleyn, S.; Torres-Sospedra, J. Smartphone Distance Estimation Based on RSSI-Fuzzy Classification Approach Proceedings of the 2021 International Conference on Localization and GNSS (ICL-GNSS), 2021.

2020

Quezada-Gaibor, D.; Klus, Lucie; Torres-Sospedra, J.; Lohan, E.S.; Nurmi J. and Huerta, J. Improving DBSCAN for Indoor Positioning Using Wi-Fi Radio Maps in Wearable and IoT Devices Proceedings of the Twelfth International Congress on Ultra Modern Telecommunications and Control Systems (ICUMT), 2020.

ICUMT - Best Student Paper Award

Klus, Lucie; Quezada-Gaibor, D.; Torres-Sospedra, J.; Lohan, E.S.; Granell, C. and Nurmi J. RSS Fingerprinting Dataset Size Reduction Using Feature-Wise Adaptive k-Means Clustering Proceedings of the Twelfth International Congress on Ultra Modern Telecommunications and Control Systems (ICUMT), 2020.

Torres-Sospedra, J.; Quezada-Gaibor, D.; Mendoza-Silva, G. M.; Nurmi, J.; Koucheryavy, Y. and Huerta, J. New Cluster Selection and Fine-grained Search for k-Means Clustering and Wi-Fi Fingerprinting Proceedings of the Tenth International Conference on Localization and GNSS (ICL-GNSS), 2020.

Holcer, S.; Torres-Sospedra, J.; Gould, M. and Remolar, I. Privacy in Indoor Positioning Systems: A Systematic Review Proceedings of the Tenth International Conference on Localization and GNSS (ICL-GNSS), 2020.

Karmacharya, A.; Mendoza Silva, G. M. and Torres-Sospedra, J. Sensor Fusion and Well Condition Triangle Approach for BLE-based Indoor Positioning WiP Proceedings of the Tenth International Conference on Localization and GNSS (ICL-GNSS), 2020. link

Abdlamajud Qafisheh, M. W.; Martín Furones, A. and Torres-Sospedra, J. Support Vector Regression Machine Learning Tool to Predict GNSS Clock Corrections in Real-Time PPP Technique WiP Proceedings of the Tenth International Conference on Localization and GNSS (ICL-GNSS), 2020. link

2019

Jiménez-Ruiz, A. R.; Seco, F.; and Torres-Sospedra, J. Tools for smartphone multi-sensor data registration and GT mapping for positioning applications Proceedings of the Tenth International Conference on Indoor Positioning and Indoor Navigation, 2019.

Li, K.-L.; Zlatanova, S.; Torres-Sospedra, J.; Perez-Navarro, A.; Laoudias, C.; and Moreira, A. Survey on Indoor Map Standards and Formats Proceedings of the Tenth International Conference on Indoor Positioning and Indoor Navigation, 2019.

Rojo, J.; Mendoza-Silva, G. M.; Ristow, G.; Laiapea, J.; Parrello, G.; Simó, A.; Stupin, L.; Minican, D.; Farrés, M.; Corvalán, C.; Unger, F.; Marín-López, S.; Soteras, I.; Castejón-Bravo, D.; and Torres-Sospedra, J. Machine Learning applied to Wi-Fi fingerprinting: The experiences of the Ubiqum Challenge Proceedings of the Tenth International Conference on Indoor Positioning and Indoor Navigation, 2019.

Torres-Sospedra, J.; Moreira, A.; Mendoza-Silva, G. M.; Nicolau, M. J.; Matey-Sanz, M.; Silva, I.; Huerta, J.; and Pendão, C. Exploiting Different Combinations of Complementary Sensor's data for Fingerprint-based Indoor Positioning in Industrial Environments Proceedings of the Tenth International Conference on Indoor Positioning and Indoor Navigation, 2019.

Palinggi, D. A.; Ramos, F.; Torres-Sospedra, J.; Trilles, S.; and Huerta, J. Using Weather Condition and Advanced Machine Learning Methods to Predict Soccer Outcome Accepted Short Papers and Posters from the 22nd AGILE Conference on Geo-information Science. Cyprus University of Technology 17-20 June 2019, Limassol, Cyprus. ISBN 978-90-816960-9-8, Publisher: Stichting AGILE, 2019. link

2018

Torres-Sospedra, J.; Richter, P.; Mendoza-Silva, G.M.; Lohan, E.S.; and Huerta, J. Characterising the Alteration in the AP Distribution with the RSS Distance and the Position Estimates Proceedings of the Ninth International Conference on Indoor Positioning and Indoor Navigation, 2018.

Perez-Navarro, A.; Montoliu, R.; Torres-Sospedra, J.; and Conesa, J. Magnetic field as a characterization of wide and narrow spaces in a real challenging scenario using Dynamic Time Warping Proceedings of the Ninth International Conference on Indoor Positioning and Indoor Navigation, 2018.

Montoliu, R.; Belmonte, O.; Sansano, E.; and Torres-Sospedra, J. A new methodology for long-term maintenance of WiFi fingerprinting radio maps Proceedings of the Ninth International Conference on Indoor Positioning and Indoor Navigation, 2018.

Mendoza-Silva, G. M.; Torres-Sospedra, J.; & Huerta, J. Locations Selection for Periodic Radio Map Update in WiFi Fingerprinting Proceedings of the Fourteenth Conference on Location Based Services, 2018.

2017

Santa, F.;, Henriques, R.;, Torres-Sospedra, J.; and Pebesma, E. Spatio–temporal point patterns analysis of geolocated tweets to characterise urban dynamics Spatial Statistics 2017 - One World: One Health, 2017. [Abstract]

Montoliu, R.;, Sansano, E.;, Torres-Sospedra, J.; and Belmonte, O. IndoorLoc Platform: A Public Repository for Comparing and Evaluating Indoor Positioning Systems Proceedings of the Eighth International Conference on Indoor Positioning and Indoor Navigation, 2017. [Candidate IPIN 2017 best paper]

Sansano, E.;, Montoliu, R.; and Torres-Sospedra, J. A Novel Methodology to Estimate a Measurement of the Inherent Difficulty of an Indoor Localization Radio Map Proceedings of the Eighth International Conference on Indoor Positioning and Indoor Navigation, 2017.

Moreira, A.; Silva, I.; Meneses, F.; Nicolau, M.J.; Pendão, C.; Torres-Sospedra, J. Multiple simultaneous Wi-Fi measurements in fingerprinting indoor positioning Proceedings of the Eighth International Conference on Indoor Positioning and Indoor Navigation, 2017.

Mendoza-Silva, G.M.;, Torres-Sospedra, J.; and Huerta, J. A More Realistic Error Distance Calculation for WiFi Indoor Positioning Systems Accuracy Evaluation Proceedings of the Eighth International Conference on Indoor Positioning and Indoor Navigation, 2017.

2016

Mendoza-Silva, G. M.; Rodriguez-Pupo, L. E.; Torres-Sospedra, J.; Huerta, J. Solutions for signal mapping campaigns of Wi-Fi networks Proceedings of the VII Jornadas Ibéricas de Infraestructuras de Datos Espaciales, 2016.

Mendoza-Silva, G. M.; Torres-Sospedra, J.; Huerta, J.; Montoliu, R.; Benitez, F.; & Belmonte, O. Situation Goodness Method for Weighted Centroid-based Wi-Fi APs Localization Proceedings of the Thirdteenth Conference on Location Based Services, 2016.

Montoliu, R., Torres-Sospedra, J.; & Belmonte, O. Magnetic Field based Indoor Positioning Using the Bag of Words Paradigm Proceedings of the Seventh International Conference on Indoor Positioning and Indoor Navigation, 2016.

Torres-Sospedra, J.; Mendoza-Silva, G. M.; Montoliu, R.; Belmonte, O.; Benitez, F.; & Huerta, J. Ensembles of Indoor Positioning Systems Based on Fingerprinting: Simplifying Parameter Selection and Obtaining Robust Systems Proceedings of the Seventh International Conference on Indoor Positioning and Indoor Navigation, 2016.

Torres-Sospedra, J.; Belmonte, O.; Montoliu, R.; Trilles, S. & Calia, A., How feasible is WiFi fingerprint-based indoor positioning for in-home monitoring? Proceedings of the 12th International Conference on Intelligent Environment, 2016.

2015

Potortì, F.; Barsocchi, P.; Girolami, M.; Torres-Sospedra, J. & Montoliu, R. Evaluating Indoor Localization Solutions in Large Environments Through Competitive Benchmarking: The EvAAL-ETRI Competition Proceedings of the Sixth Conference on Indoor Positioning and Indoor Navigation, 2015.

Torres-Sospedra, J.; Rambla, D.; Montoliu, R.; Belmonte, O. & Huerta, J. UJIIndoorLoc-Mag: A New Database for Magnetic Field-Based Localization Problems Proceedings of the Sixth Conference on Indoor Positioning and Indoor Navigation, 2015.

2014

Garcia-Martí, I.; Torres-Sospedra, J.; Rodriguez-Pupo, L. E. & Huerta, J. A comparative study on VGI and professional noise data In proceedings of the 17th AGILE Conference on Geographic Information Science, 2014.

Torres-Sospedra, J.; Montoliu, R.; Martínez-Usó, A.; Avariento, J. P.; Arnau, T. J.; Benedito-Bordonau, M. & Huerta, J. UJIIndoorLoc: A New Multi-building and Multi-floor Database for WLAN Fingerprint-based Indoor Localization Problems Proceedings of the Fifth Conference on Indoor Positioning and Indoor Navigation, pp. 261-270, 2014.

2012

Nebot, P.; Torres-Sospedra, J. & Recatala, G. Using Neural Networks for Maintenance Tasks in Agriculture: Precise Weed Detection Proceedings of the International Conference of Agricultural Engineering CIGR-Ageng 2012, 2012.

2011

A Case Study on Agriture: Distributed HLA-Based Architecture for Agricultural Robotics Nebot, P.; Torres-Sospedra, J. & Martínez, R. Proceedings of the International Symposium on Distributed Computing and Artificial Intelligence. Advances in Intelligent and Soft Computing, Vol. 91, pp. 353-360, 2011.

Torres-Sospedra, J. & Nebot, P. Visual Outdoor Path Planner for Orange Groves Based on Ensembles of Neural Networks Proceedings of the 8th International Conference on Informatics in Control, Automation and Robotics, Vol. 2, pp. 223-228, 2011.

2006

Torres-Sospedra, J.; Hernández-Espinosa, C. & Fernández-Redondo, M. Improving Adaptive Boosting with k-Cross-Fold Validation Intelligent Computing. International Conference on Intelligent Computing, ICIC 2006, Kunming, China, August 16-19, 2006. Proceedings, Part I Lecture Notes in Computer Science, Vol. 4113, pp. 397-402, 2006.

Torres-Sospedra, J.; Hernández-Espinosa, C. & Fernández-Redondo, M. The Mixture of Neural Networks Adapted to Multilayer Feedforward Architecture Intelligent Computing. International Conference on Intelligent Computing, ICIC 2006, Kunming, China, August 16-19, 2006. Proceedings, Part I Lecture Notes in Computer Science, Vol. 4113, pp. 488-493, 2006.

Fernández-Redondo, M.; Torres-Sospedra, J. & Hernández-Espinosa, C. Gradient Descent and Radial Basis Functions Intelligent Computing. International Conference on Intelligent Computing, ICIC 2006, Kunming, China, August 16-19, 2006. Proceedings, Part I Lecture Notes in Computer Science, Vol. 4113, pp. 391-396, 2006.

Hernández-Espinosa, C.; Torres-Sospedra, J. & Fernández-Redondo, M. Improving the Combination Module with a Neural Network Intelligent Computing. International Conference on Intelligent Computing, ICIC 2006, Kunming, China, August 16-19, 2006. Proceedings, Part I Lecture Notes in Computer Science, Vol. 4113, pp. 146-155, 2006.

2005

Torres-Sospedra, J.; Hernández-Espinosa, C. & Fernández-Redondo, M. Combinación de Conjuntos de Redes Multilayer Feedforward Actas del Simposio de Inteligencia Computacional, SICO2005, pp. 11-18, 2005.

Fernández-Redondo, M.; Torres-Sospedra, J. & Hernández-Espinosa, C. Combinación de Conjuntos de Redes Radial Basis Functions Actas del Simposio de Inteligencia Computacional, SICO2005, pp. 515-520, 2005.

Hernández-Espinosa, C.; Fernández-Redondo, M. & Torres-Sospedra, J. Nuevos experimentos sobre Conjuntos de RNAs. Actas del Simposio de Inteligencia Computacional, SICO2005, pp. 19-25, 2005.

Torres-Sospedra, J.; Fernández-Redondo, M. & Hernández-Espinosa, C. Combination Methods for Ensembles of Multilayer Feedforward Proceedings of 6th WSEAS International Conference on Neural Networks, pp. 146-151, 2005.

Hernández-Espinosa, C.; Torres-Sospedra, J. & Fernández-Redondo, M. Combination Methods for Ensembles of RBF Networks Proceedings of 6th WSEAS International Conference on Neural Networks, pp. 140-145, 2005.

Torres-Sospedra, J.; Hernández-Espinosa, C. & Fernández-Redondo, M. Ensembles of Multilayer Feedforward: A New Comparison Proceedings of 6th WSEAS International Conference on Neural Networks, pp. 152-157, 2005.

2026

Sosa-León, V.A.L.; Mukhametov, S.; Trilles S.; Huerta, J.; Torres-Sospedra, J. Privacy-Preserving Skeleton-Based Analysis of Visitor Behavior in Museums Proceedings of 2024 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops). CoMoRe-AI 2026: 22nd Workshop on Context and Activity Modeling and Recognition with AI, 2026. To be presented in CoMoRe-AI 2026 a PerCom Workshop.

2015

Torres-Sospedra, J.; Ana Sanchís, A.; Mauri Benedito-Bordonau, M.; Gould, M. & Huerta, J. SmartUJI: A Platform for SmartCampus Applications Proceedings of the Second Smart University Workshop, 2015.

2014

Marcos, M.; Torres-Sospedra, J. & Martínez-Salvador, B. Assessment of Clinical Guideline Models Based on Metrics for Business Process Models Proceedings of the 6th International Workshop on Knowledge Representation for Health Care, Lecture Notes in Artificial Intelligence, Vol. 8903, pp. 111-120, 2014.

2008

Torres-Sospedra, J.; Hernández-Espinosa, C. & Fernández-Redondo, M. Decision Fusion on Boosting Ensembles Artificial Neural Networks in Pattern Recognition. Third IAPR Workshop, ANNPR 2008 Paris, France, July 2-4, 2008 Proceedings Lecture Notes in Artificial Intelligence, Vol. 5064, pp. 157-167, 2008.

Fernández-Redondo, M.; Torres-Sospedra, J. & Hernández-Espinosa, C. The Mixture of Neural Networks as Ensemble Combiner Artificial Neural Networks in Pattern Recognition. Third IAPR Workshop, ANNPR 2008 Paris, France, July 2-4, 2008 Proceedings Lecture Notes in Artificial Intelligence, Vol. 5064, pp. 168-179, 2008.

Hernández-Espinosa, C.; Torres-Sospedra, J. & Fernández-Redondo, M. Researching on Multi-net systems based on Stacked Generalization Artificial Neural Networks in Pattern Recognition. Third IAPR Workshop, ANNPR 2008 Paris, France, July 2-4, 2008 Proceedings Lecture Notes in Artificial Intelligence, Vol. 5064, pp. 193-204, 2008.

2006

Torres-Sospedra, J.; Hernández-Espinosa, C. & Fernández-Redondo, M. An Experimental Study on Training Radial Basis Functions by Gradient Descent Artificial Neural Networks in Pattern Recognition. Second IAPR Workshop, ANNPR 2006, Ulm, Germany, August 31-September 2, 2006. Proceedings Lecture Notes in Artificial Intelligence, Vol. 4087, pp. 81-92, 2006.

Torres-Sospedra, J.; Hernández-Espinosa, C. & Fernández-Redondo, M. Combining MF Networks: A Comparison Among Statistical Methods and Stacked Generalization Artificial Neural Networks in Pattern Recognition. Second IAPR Workshop, ANNPR 2006, Ulm, Germany, August 31-September 2, 2006. Proceedings Lecture Notes in in Artificial Intelligence, Vol. 4087, pp. 210-220, 2006.

2004

Hernández-Espinosa, C.; Fernández-Redondo, M. & Torres-Sospedra, J. First Experiments on Ensembles of Radial Basis Functions. Multiple Classifier Systems. 5th International Workshop, MCS 2004, Cagliari, Italy, June 9-11, 2004. Proceedings Lecture Notes in Computer Science, Vol. 3077, pp. 253-262, 2004.

Supervised Ph.D. Theses (8)

Go to Supervided Ph.D. Theses
Go to Supervised Master Theses

Desarrollo de un sistema de posicionamiento local basado en redes Bluetooth de Baja Energía para dispositivos portables inteligentes

Author: Jesús Aranda Polo

Ph.D Programme: Programa de doctorado en Modelización y Experimentación en Ciencia y Tecnología

Defence date: February 18th, 2026

Grade: Excellent Cum Laude

Handle: https://hdl.handle.net/10662/39562

Privacy-enhancing technologies and privacy-enhancing cryptography for wearables

Author: Raúl Casanova-Marqués

Ph.D Programme: PhD in European Joint Doctorate Marie Sklodowska-Curie in A Network for Dynamic Wearable Applications with Privacy Constraints

Defence date: April 29th, 2024

Grade: Excellent

DOI (UJI): http://dx.doi.org/10.6035/14124.2024.839804

Exploiting Wireless Communications for Localization: Beyond Fingerprinting

Author: Tomáš Bravenec

Ph.D Programme: PhD in European Joint Doctorate Marie Sklodowska-Curie in A Network for Dynamic Wearable Applications with Privacy Constraints

Defence date: December 18th, 2023

Grade: Excellent

DOI (UJI): http://dx.doi.org/10.6035/14124.2023.868082

Collaborative Techniques for Indoor Positioning Systems

Author: Pavel Pascacio de los Santos

Ph.D Programme: PhD in European Joint Doctorate Marie Sklodowska-Curie in A Network for Dynamic Wearable Applications with Privacy Constraints

Defence date: June 9th, 2023

Grade: Excellent Cum Laude

Handle: http://hdl.handle.net/10803/688489
DOI (UJI): 10.6035/14124.2023.821144
TREPO (TAU): https://trepo.tuni.fi/handle/10024/148254

Direct Communication Radio Interface for New Radio Multicasting and Cooperative Positioning

Author: Nadezhda Chukhno

Ph.D Programme: PhD in European Joint Doctorate Marie Sklodowska-Curie in A Network for Dynamic Wearable Applications with Privacy Constraints

Defence date: April 3rd, 2023

Grade: Excellent Cum Laude

Handle (UNIRC): https://iris.unirc.it/handle/20.500.12318/136586
DOI (UJI): http://dx.doi.org/10.6035/14124.2023.760915243

Cloud-based Indoor Positioning Platform for Context-adaptivity in GNSS-denied Scenarios

Author: Darwin Quezada Gaibor

Ph.D Programme: PhD in European Joint Doctorate Marie Sklodowska-Curie in A Network for Dynamic Wearable Applications with Privacy Constraints

Defence date: March 31st, 2023

Grade: Excellent Cum Laude

Handle: http://hdl.handle.net/10803/688141
DOI (UJI): 10.6035/14124.2023.821275
TREPO (TAU): https://trepo.tuni.fi/handle/10024/146093

Received Signal Strength-based Indoor Positioning:

Author: Germán Martín Mendoza Silva

Ph.D Programme: PhD in Computer Science

Defence date: March 5th, 2020

Grade: Excellent Cum Laude

Handle: http://hdl.handle.net/10803/668885
DOI (UJI): 10.6035/14101.2020.357222

A statistical approach for studying urban human dynamics

Author: Luis Fernando Santa Guzmán

Ph.D Programme: PhD in Geospatial Technologies

Defence date: November 30th, 2018

Grade: pass

Handle: https://run.unl.pt/handle/10362/56709

Supervised Master Theses (49)

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Go to Supervised Master Theses

Sistemas de posicionamiento en interiores con Wi-Fi RSSI: Desarrollo de un sistema de visualización en tiempo real orientado a emergencias

Author: David Gorriti Azkue

Master Programme: Màster en Enginyeria Informàtica (UOC)

Defence date: January 28th, 2026

Avaluació del rendiment de Xarxes Neuronals de Grafs per a Sistemes de Posicionament en Interiors basats en Empremtes Wi-Fi

Author: Manuel Fornos Pérez

Master Programme: Master of Data Science (UOC)

Defence date: January 27th, 2026

Sistema de posicionamiento en interiores basado en la aplicación de Machine Learning sobre señales wifi>

Author: Mario García Jiménez

Master Programme: Master of Data Science (UOC)

Defence date: January 26th, 2026

Avaluació d’arquitectures de Deep Learning per al Reconeixement d’Activitats Humanes (HAR) mitjançant sensors inercials

Author: Gerard Vidal Casasayas

Master Programme: Master of Data Science (UOC)

Defence date: January 22th, 2026

Anàlisi de la similitud entre equips de futbol per a la comparació contextual del rendiment de jugadors

Author: Martí Tuneu Font

Master Programme: Master of Data Science (UOC)

Defence date: January 19th, 2026

Reconocimiento de patrones en el deporte (Caso de Uso: Bádminton)

Author: Rafael Asián Díaz

Master Programme: Master of Data Science (UOC)

Defence date: January 15th, 2026

Automatic Detection and Prediction of Corner Kicks in Football Using Computer Vision

Author: Max Planas I Batllori

Master Programme: Master of Data Science (UOC)

Defence date: January 12th, 2026

Computer Vision aplicada al deporte: Clasificación automática de 100 categorías deportivas utilizando arquitecturas de aprendizaje profundo

Author: Jose Carlos Enriquez Lira

Master Programme: Master of Data Science (UOC)

Defence date: January 12th, 2026

Dashboard de suport al cos dels Bombers en una intervenció indoor

Author: Joan Simo Husillos

Master Programme: Màster en Enginyeria Informàtica (UOC)

Defence date: June 26th, 2025

Combinación de información multisensorial proveniente de dispositivos móviles para proporcionar posicionamiento

Author: Alberto Alonso Frutos

Master Programme: Master of Science in Data Science (UOC)

Defence date: June 26th, 2025

Sistema de posicionamiento en interiores basado en la aplicación de Machine Learning sobre señales Wi-Fi

Author: Carina Zavala

Master Programme: Master of Science in Data Science (UOC)

Defence date: June 26th, 2025

Estudio comparativo de algoritmos supervisados para el posicionamiento en interiores con Wi-Fi Fingerprinting

Author: Sandra Campos Suarez

Master Programme: Master of Science in Data Science (UOC)

Defence date: June 20th, 2025

https://hdl.handle.net/10609/153721

NDA

Author: Alejandro Rodríguez Martínez

Master Programme: Master of Science in Data Science (UOC)

Defence date: June 19th, 2025

Modelatge dels patrons de moviment d’esportistes de futbol americ`a per a predir el tipus d’atac

Author: Lluís Coll Más

Master Programme: Master of Science in Data Science (UOC)

Defence date: June 13th, 2025

NDA

Author: Fernando Costas Comesaña

Master Programme: Master of Science in Data Science (UOC)

Defence date: June 12th, 2025

Anàlisi d’emocions multitasca

Author: Rubén Ostos Balfagón

Master Programme: Master of Science in Data Science (UOC)

Defence date: January 16th, 2025

https://hdl.handle.net/10609/151813

Data augmentation models for improved indoor positioning accuracy using RSS Fingerprinting

Author: Esperanza María Laó Amores

Master Programme: Master of Science in Data Science (UOC)

Defence date: January 16th, 2025

Geoposicionamiento basado en redes LoRaWAN y Sigfox

Author: Ernesto Manuel Miguez Fernandez

Master Programme: Master of Science in Data Science (UOC)

Defence date: July 6th, 2024

Evaluación de riesgos en seguridad vial, uso de técnicas avanzadas de Machine Learning

Author: Darwin Padilla Silva

Master Programme: Master of Science in Data Science (UOC)

Defence date: July 5th, 2024

Recognition Prediction on Tennis Strokes Using ML Techniques

Author: Ruben Herrera Echeverria

Master Programme: Master of Science in Data Science (UOC)

Defence date: July 2nd, 2024

Sistema de posicionament en interiors a partir de senyals WiFi

Author: Marc Barreiro I Gili

Master Programme: Master of Science in Data Science (UOC)

Defence date: July 2nd, 2024

Comparativa de Estrategias de Aprendizaje Incremental para la Mejora del Posicionamiento en Interiores basado en Wi-Fi Fingerprinting

Author: Paula Miralles Simó

Master Programme: Master of Science in Data Science (UOC)

Defence date: June 27th, 2024

Reconeixement de patrons en el tenis

Author: Oliver Levano Blanch

Master Programme: Master of Science in Data Science (UOC)

Defence date: July 1st, 2024

Desenvolupament d’una Xarxa Neu- ronal Convolucional Classificadora de Land Use / Land Cover mitjan ̧cant dades de Sentinel-1 i Sentinel-2

Author: Robert Carles i Marqueño

Master Programme: Master of Science in Data Science (UOC)

Defence date: June 27, 2024

Optimización del sistema de Geoposicionamiento Interior basado en Wifi Fingerprint

Author: Lingfeng Zheng

Master Programme: Master of Science in Data Science (UOC)

Defence date: February 2nd, 2024

Sistema de posicionamiento en interiores basado en la aplicación de Machine Learning sobre señales Wi-Fi

Author: Guillermo Arrizabalaga Solano

Master Programme: Master of Science in Data Science (UOC)

Defence date: February 2nd, 2024

Sistema de posicionamiento en interiores basado en la aplicación de Machine Learning sobre señales Wi-Fi

Author: César Aprea Castro

Master Programme: Master of Science in Data Science (UOC)

Defence date: February 2nd, 2024

Comparació d’algorismes d’aprenentatge automàtic per la classificació de cops de tenis

Author: Miquel Piña Grau

Master Programme: Master of Science in Data Science (UOC)

Defence date: February 1st, 2024

NDA

Author: Joan Peracaula Prat

Master Programme: Master of Science in Data Science (UOC)

Defence date: January 30th, 2024

Estudio de algoritmos de aprendizaje automático para el cálculo del LoRaWAN fingerprinting para posicionamiento en exteriores

Author: Lucas de Torre Barrio

Master Programme: Master of Science in Data Science (UOC)

Defence date: June 26th, 2023

Comparison of transformer-based and convolutional neural network-based (CNN) models for remote sensing image classification

Author: Mareyam Belcaid

Master Programme: Erasmus+ Master of Science in Geospatial Technologies

Defence date: January 27th, 2023

Handle: http://hdl.handle.net/10362/150959

Deep Learning approach applied to drone imagery for the automatic detection of forest fire

Author: Maryeme Akhatar

Master Programme: Erasmus+ Master of Science in Geospatial Technologies

Defence date: January 27th, 2023

Handle: http://hdl.handle.net/10362/150958

Implantació d'un sistema de geoposicionament de dispositius mòbils en interiors Cas d'ús: Monument de Casa de la Vall (Principat d'Andorra)

Author: Josep Ribó Férriz

Master Programme: Master of Science in Data Science (UOC)

Defence date: January 25th, 2023

Handle: http://hdl.handle.net/10609/147470

Two-level Fingerprint-based Indoor Positioning using advanced Machine Learning

Author: Moisés Manuel Boba Roriz Ramires

Master Programme: Master of Science Informatics Engineering (Universidade do Minho)

Defence date: December 7th, 2022

Handle: https://hdl.handle.net/1822/84081-->

Enhancement of Clustering models via Data Augmentation for Fingerprint-based positioning

Author: Richard Jácome Guanoluisa

Master Programme: Master of Science in Data Science (UOC)

Defence date: June 20th, 2022

Development of model based on nearest neighbours with previous knowledge of signal propagation

Author: Vicenç Pio Badia

Master Programme: Master of Science in Data Science (UOC)

Defence date: June 20th, 2022

Desarrollo de un modelo k-NN integrando conocimiento previo de la propagación de señal

Author: Aleix Salvador Barrera

Master Programme: Master of Science in Data Science (UOC)

Defence date: June 17th, 2022

Estudio y evaluación de algoritmos de procesamiento de datos inalámbricos para la estimación de la localización y ocupación en interiores>

Author: Ginés Molina Abril

Master Programme: Master of Science in Data Science (UOC)

Defence date: June 15th, 2022

Identify popular hotspots through the analysis of movement patterns from social networks in rural areas: Case study of the Borbera Valley in North Italy

Author: Stefano Cunietti

Master Programme: Master of Science in Geospatial Technologies

Defence date: March 5th, 2022

Handle: http://hdl.handle.net/10362/135045

High-resolution Soil Moisture Retrieval Using Sentinel-1 Data for Evaluating Regenerative Agriculture: A feasibility study from Alentejo, Portugal

Author: Syver Jahren Petersen

Master Programme: Master of Science in Geospatial Technologies

Defence date: March 2nd, 2022

Handle: http://hdl.handle.net/10362/134627

Spatial Conflict prediction using Machine Learning

Author: Frank Guzzardo

Master Programme: Master of Science in Geospatial Technologies

Defence date: March 2nd, 2022

Handle: http://hdl.handle.net/10362/134614

Applicability of multispectral Sentinel data for mineral exploration by use of remote sensing and geospatial technologies:A case study in Northern Chile

Author: Jose Edmundo Tulcanaza

Master Programme: Master of Science in Geospatial Technologies

Defence date: January 28th, 2022

Handle: http://hdl.handle.net/10234/187008

Estimació de la Producció de Clavell Moro a la Província Xinesa de Xinjiang a través de imatges de satèl·lit

Author: Gemma Garcia de la Fuente

Master Programme: Master of Science in Data Science (UOC)

Defence date: January 13th, 2022

Optimal Receivers Location for Passive Indoor Positioning based on BLE

Author: Roald de Brower

Master Programme: Master of Science in Geospatial Technologies

Defence date: June 18th, 2021

Indoor Positioning System Based on Machine Learning Application over Wi-Fi Signals

Author: Daniel Corretja Alonso

Master Programme: Master of Science in Data Science (UOC)

Defence date: January 20th, 2021

Study of k-NN Algorithm in Wi-Fi Fingerprinting

Author: Cristina Rodríguez Martínez

Master Programme: Master of Science in Data Science (UOC)

Defence date: January 18th, 2021

Sensor fusion of IMU and BLE using a well-condition triangle approach for BLE positioning

Author: Amrit Karmacharya

Master Programme: Master of Science in Geospatial Technologies

Defence date: March 5th, 2020

Handle: http://hdl.handle.net/10234/187008

Ship recognition on the sea surface using aerial images taken by UAV: A deep learning approach

Author: Laxmi Thapa

Master Programme: Master of Science in Geospatial Technologies

Defence date: February 28th, 2019

Handle: https://run.unl.pt/handle/10362/63805

Monitoring and evaluation of the best mapping approach of the environmental impacts and land cover changes caused with the reveal of the quarry using the landsat and UAV images

Author: Nikolina Nišić

Master Programme: Master of Science in Geospatial Technologies

Defence date: February 27th, 2018

Handle: https://run.unl.pt/handle/10362/33647

Assessing the effect of weather parameters on human outdoor perception using twitter

Author: Laura Giuffrida

Master Programme: Master of Science in Geospatial Technologies

Defence date: February 24th, 2017

Handle: https://run.unl.pt/handle/10362/34460

Organized Special Issues

Signal Processing and Machine Learning for Smart Sensing Applications (Volume 2)

Guest Editors: Prof. Dr. Ying-Ren Chien (National Ilan University, Taiwan), Dr. Joaquín Torres-Sospedra (University of Minho, Guimarães, Portugal), Prof. Dr. Mu Zhou (University of Posts and Telecommunications, China), Dr. Ao Peng (Xiamen University, China), Dr. Ni Zhu (University Gustave Eiffel, France)

Journal: Sensors (MDPI)

CFP

Security, Privacy and Trust Aspects of Wearable and Resource Constrained Devices"

Guest Editors: Dr. Aleksandr Ometov (Tampere University, Tampere, Finland), Dr. Joaquín Torres-Sospedra (University of Minho, Guimarães, Portugal)

Journal: Cryptography (MDPI)

CFP

Next Generation Indoor Positioning Systems

Guest Editors: Dr. Sven Casteleyn (Universitat Jaume I, Castellón, Spain), Dr. Aleksandr Ometov (Tampere University, Tampere, Finland), Dr. Joaquín Torres-Sospedra (University of Minho, Guimarães, Portugal)

Journal: Applied Sciences (MDPI)

CFP

Computer Vision for Positioning, Tracking and Wayfinding: State of the Art Solutions

Guest Editors: Dr. Filipe Meneses (University of Minho, Guimarães, Portugal), Dr. Joaquín Torres-Sospedra (University of Minho, Guimarães, Portugal)

Journal: Sensors (MDPI)

CFP

Computer Vision Datasets for Positioning, Tracking and Wayfinding

Guest Editors: Dr. Filipe Meneses (University of Minho, Guimarães, Portugal), Dr. Joaquín Torres-Sospedra (University of Minho, Guimarães, Portugal)

Journal: Data (MDPI)

CFP

(1) - Sensing Technologies For Indoor Location-Based Services

Guest Editors: Paolo Barsocchi (National Research Council, Pisa, Italy), Antonino Crivello (National Research Council, Pisa, Italy), Filippo Palumbo (National Research Council, Pisa, Italy), Dario Salvi (Malmö University, Malmö, Sweden), Joaquín Torres-Sospedra (Algoritmi Center, School of Engineering, University of Minho, Guimiraes, Portugal), Antoni Pérez-Navarro (Open University of Catalonia, Barcelona, Spain), Dongyan Wei (Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China)

Journal: Frontiers in Sensors (Frontiers)

CFP 1

(2) - IoT Location Based Service (LBS): developments, technologies, and challenges

Guest Editors: Paolo Barsocchi (National Research Council, Pisa, Italy), Filippo Palumbo (National Research Council, Pisa, Italy), Antonino Crivello (National Research Council, Pisa, Italy), Joaquín Torres-Sospedra (Algoritmi Center, School of Engineering, University of Minho, Guimiraes, Portugal), Dongyan Wei (Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China), Antoni Pérez-Navarro (Open University of Catalonia, Barcelona, Spain), Dario Salvi (Malmö University, Malmö, Sweden)

Journal: Frontiers in Communications and Networks (Frontiers)

CFP 2

(3) - Design and implementation of Location Based Services for ubiquitous and pervasive application scenarios

Guest Editors: Filippo Palumbo (National Research Council, Pisa, Italy), Dario Salvi (Malmö University, Malmö, Sweden), Paolo Barsocchi (National Research Council, Pisa, Italy), Antonino Crivello (National Research Council, Pisa, Italy), Antoni Pérez-Navarro (Open University of Catalonia, Barcelona, Spain), Joaquín Torres-Sospedra (Algoritmi Center, School of Engineering, University of Minho, Guimiraes, Portugal), Dongyan Wei (Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China)

Journal: Frontiers in Computer Science (Frontiers)

CFP 3

Advances in Indoor Positioning and Indoor Navigation

Guest Editors: Prof. Dr. Antoni Perez-Navarro (Universitat Oberta de Catalunya), Dr. Raúl Montoliu (Universitat Jaume I, Castellón, Spain) and Dr. Joaquín Torres-Sospedra (Universitat Jaume I, Castellón, Spain)

Journal: Sensors (MDPI)

CFP

Measurements of User and Sensor Data from the Internet of Things (IOT) Devices

Guest Editors: Dr. Alexandr Ometov (Tampere University) and Dr. Joaquín Torres-Sospedra (Universitat Jaume I, Castellón, Spain)

Journal: Data (MDPI)

CFP

Advanced Sensors and Sensing Technologies for indoor positioning and navigation

Guest Editors: Dr. Valérie Renaudin (University Gustave Eiffel, France), Francesco Potortì (ISTI - CNR, Italy), Dr. Dongyan Wei (Chinese Academy of Sciences, China), Dr. Kyle O'Keefe (University of Calgary, Canada), Prof. Chan Gook Park (Seoul National University, Korea), Prof. Jari Nurmi (Tampere University, Finland), Prof. Masanori Sugimoto (Hokkaido University, Japa),n Joaquín Torres-Sospedra (University Jaume I, Spain) and Prof. Stefan Knauth (Hochschule für Technik Stuttgart, Germany).

Journal: IEEE Sensors Journal (IEEE)CFP

Special Issue

Signal Processing and Machine Learning for Smart Sensing Applications

Guest Editors: Prof. Dr. Ying-Ren Chien (National Ilan University, Taiwan), Prof. Dr. Mu Zhou (University of Posts and Telecommunications, China), Dr. Ao Peng (Xiamen University, China), Dr. Ni Zhu (University Gustave Eiffel, France), Dr. Joaquín Torres-Sospedra (Universitat Jaume I, Castellón, Spain)

Journal: Sensors (MDPI)

CFP

Data from Smartphone and Wearables

Guest Editors: Dr. Joaquín Torres-Sospedra (Universitat Jaume I, Castellón, Spain) and Dr. Alexandr Ometov (Tampere University)

Journal: Data (MDPI)

CFP

Artificial Intelligence in the Smart Everything and Everywhere Era

Guest Editors: Dr. Joaquín Torres-Sospedra (Universitat Jaume I, Castellón, Spain) and Dr. Sergio Trilles (Universitat Jaume I, Castellón, Spain)

Journal: Artificial Intelligence (MDPI)

CFP

Artificial Intelligence in Robotics Navigation

Guest Editors: Dr. Joaquín Torres-Sospedra (Universitat Jaume I, Castellón, Spain), Dr. María Carmen Pérez (University of Alcalá, Spain) and Dr. Christopher Mutschler (Fraunhofer Institute for Integrated Circuits IIS, Germany)

Journal: Artificial Intelligence (MDPI)

CFP

Applications and Innovations on Sensor-Enabled Wearable Devices

Guest Editors: Dr. Elena Simona Lohan (Tampere University), Prof. Dr. Antonella Molinaro (University Mediterranea of Reggio Calabria), Prof. Dr. Adriano Moreira (University of Minho), Dr. Alexandru Rusu (University Politehnica of Bucharest), Prof. Dr. Zdenek Smekal (Brno University of Technology) and Dr. Joaquín Torres-Sospedra (Universitat Jaume I, Castellón, Spain)

Journal: Sensors (MDPI)

CFP

Wireless Localization: Tracking and Navigation Data Set

Guest Editors: Prof. Aleš Prokeš (Brno University of Technology, Brno, Česká republika) and Dr. Joaquín Torres-Sospedra (Universitat Jaume I, Castellón, Spain)

Journal: Data (MDPI)

CFP

Indoor Positioning and Navigation of Sensor Networks

Guest Editors: Dr. Raul Montoliu (Universitat Jaume I, Castellón, Spain), Dr. Antoni Pérez-Navarro (Universitat Oberta de Catalunya, Barcelona, Spain) and Dr. Joaquín Torres-Sospedra (Universitat Jaume I, Castellón, Spain)

Journal: Journal of Sensor and Actuator Networks (MDPI)

CFP

Sensor Fusion and Novel Technologies in Positioning and Navigation

Guest Editors: Dr. Fernando J. Álvarez Franco (University of Extremadura) and Dr. Joaquín Torres-Sospedra (Universitat Jaume I, Castellón, Spain)

Journal: Sensors (MDPI)

CFP

Geospatial Mobile Solutions for Smart Cities

Guest Editors: Joaquin Huerta (Universitat Jaume I, Castellón, Spain), Michael Gould (Esri, Inc., Redlands, USA), Vítor M. P. D. Dos Santos, (Universidade Nova de Lisboa, Lisbon, Portugal) and Joaquín Torres-Sospedra (Universitat Jaume I, Castellón, Spain)

Journal: Mobile Information Systems (Hindawi)

CFP

Special Issue

Datasets

Coming soon!

Supplementary Materials

Coming soon!

Contact

Department of Computer Science, Universitat de València
Office Room: ETSE N16 1.2.4
Avda. Universitat s/n, 46100 Burjassot, Valencia, Spain

+34 963544642

Joaquin.Torres<@>uv.es

Joaquín Torres-Sospedra

About Me

Current Positions

2024 - present

Distinguished Researcher

2024 - present

Member of the Joint Research Unit | UV's representative

2023 - present

Senior Editor

2020 - present

Master Thesis Supervisor

Past Positions

2023-2023

Invited Professor

2021 - 2023

MSCA Postdoctoral Fellow

2020-2021

Invited Professor

2020-2021

Head of Research | Manager

2013-2019

Postdoctoral Researcher

2012-2012

Researcher

2003-2011

Predoctoral Researcher

Statistics

Years in Research

Scientific Articles

H-Index

Citations

Verified Reviews

Editor Records

Million € Raised

Happy Students

Citations

Projects

Current projects

Mobility Assistance for Visually impaired People through Collaborative Acoustic Positioning (MAPV)

ROBOSAT - Autonomous robot navigation in the wild using satellite-based 3D geographical information

POSITIONATE - Pervasive Indoor Positioning in Smart Factories

CHASER - Channel Charting as a Service

Past projects

ORIENTATE - Low-cost Reliable Indoor Positioning in Smart Factories (MSCA-IF)

Lab4U&Spaces - Living Lab of Interactive Urban Space Solutions

MODERATE - Marketable Open Data Solutions for Optimized Building-Related Energy Services

re-MODULEES - the Retrofitting Market Activation Platform based on the generation of standard modules for energy efficiency and clean energy solutions

INSIGNIA - Sistemas de PosicionamIento en INteriores y ExterioreS - InteGración CoNfIable y SegurA en Dispositivos Inteligentes

A-WEAR - A network for dynamic WEarable Applications with pRivacy constraints

Prototipo de asistente virtual basado en geolocalización para visitas guiadas en museos

Metodologías avanzadas para el diseño,desarrollo, evaluación e integración de algoritmos de localización en interiores.

Geo-C: Joint Doctorate in Geoinformatics: Enabling Open Cities

Publications

Books

Geographical and Fingerprinting Data for Positioning and Navigation Systems

Ensembles of Artificial Neural Networks: Analysis and Development of Design Methods

Book Chapters

Journal publications

Conference publications

Supervised Thesis

Supervised Ph.D. Theses (8)

Desarrollo de un sistema de posicionamiento local basado en redes Bluetooth de Baja Energía para dispositivos portables inteligentes

Privacy-enhancing technologies and privacy-enhancing cryptography for wearables

Exploiting Wireless Communications for Localization: Beyond Fingerprinting

Collaborative Techniques for Indoor Positioning Systems

Direct Communication Radio Interface for New Radio Multicasting and Cooperative Positioning

Cloud-based Indoor Positioning Platform for Context-adaptivity in GNSS-denied Scenarios

Received Signal Strength-based Indoor Positioning:

A statistical approach for studying urban human dynamics

Supervised Master Theses (49)

Sistemas de posicionamiento en interiores con Wi-Fi RSSI: Desarrollo de un sistema de visualización en tiempo real orientado a emergencias

Avaluació del rendiment de Xarxes Neuronals de Grafs per a Sistemes de Posicionament en Interiors basats en Empremtes Wi-Fi

Sistema de posicionamiento en interiores basado en la aplicación de Machine Learning sobre señales wifi>

Avaluació d’arquitectures de Deep Learning per al Reconeixement d’Activitats Humanes (HAR) mitjançant sensors inercials

Anàlisi de la similitud entre equips de futbol per a la comparació contextual del rendiment de jugadors

Reconocimiento de patrones en el deporte (Caso de Uso: Bádminton)

Automatic Detection and Prediction of Corner Kicks in Football Using Computer Vision

Computer Vision aplicada al deporte: Clasificación automática de 100 categorías deportivas utilizando arquitecturas de aprendizaje profundo

Dashboard de suport al cos dels Bombers en una intervenció indoor

Combinación de información multisensorial proveniente de dispositivos móviles para proporcionar posicionamiento