Jose Luis
Fernandez Marquez
Visiting Scientist
Learning Systems
Research areas:
- Citizen Science
- Machine Learning
- Probabilistic Graphical Models
- Deep Learning
- Probabilistic Learning
Impact areas:
- Smart Cities
- Healthcare
SDGs:
- GOAL 11: Sustainable Cities and Communities
- GOAL 13: Climate Action
- SDGs: General
- GOAL 03: Good Health and Well-being
- GOAL 16: Peace, Justice and Strong Institutions
- GOAL 06: Clean Water and Sanitation
2024
Rocco Ballester,
Yanis Labeyrie,
Oguz Mulayim,
Jose Luis Fernandez Marquez,
& Jesus Cerquides
(2024).
Crowdsourced geolocation: Detailed exploration of mathematical and computational modeling approaches.
Cognitive Systems Research, 88, 101266.
https://doi.org/10.1016/j.cogsys.2024.101266.
[BibTeX]
2023
Carlo Bono,
Oguz Mulayim,
Cinzia Cappiello,
Mark James Carman,
Jesus Cerquides,
Jose Luis Fernandez Marquez,
Maria Rosa Mondardini,
Edoardo Ramalli,
& Barbara Pernici
(2023).
A Citizen Science Approach for Analyzing Social Media With Crowdsourcing.
IEEE Access, 11, 15329-15347.
https://doi.org/10.1109/ACCESS.2023.3243791.
[BibTeX]
[PDF]
Hafiz Budi Firmansyah,
Jose Luis Fernandez-Marquez,
Jesus Cerquides,
Valerio Lorini,
Carlo Alberto Bono,
& Barbara Pernici
(2023).
Enhancing Disaster Response with Automated Text Information Extraction from Social Media Images.
2023 IEEE Ninth International Conference on Big Data Computing Service and Applications (BigDataService)
(pp. 71--78).
[BibTeX]
Rocco Ballester,
Yanis Labeyrie,
Oguz Mulayim,
Jose Luis Fernandez Marquez,
& Jesus Cerquides
(2023).
Mathematical and Computational Models for Crowdsourced Geolocation.
Ismael Sanz, Raquel Ros, & Jordi Nin (Eds.),
Frontiers in Artificial Intelligence and Applications, Vol. 375: Artificial Intelligence Research and Development (pp 301--310).
IOS Press.
https://doi.org/10.3233/FAIA230699.
[BibTeX]
[PDF]
2022
Fabio Murgese,
Gerard Alcaina,
Oguz Mulayim,
Jesus Cerquides,
& Jose Luis Fernandez Marquez
(2022).
Automatic Outdoor Image Geolocation with Focal Modulation Networks.
Atia Cortés, Francisco Grimaldo, & Tommaso Flaminio (Eds.),
Frontiers in Artificial Intelligence and Applications, Vol. 356: Artificial Intelligence Research and Development (pp 279--288).
IOS Press.
https://doi.org/10.3233/FAIA220349.
[BibTeX]
[PDF]
Borja Velasco-Regulez,
Jose L. Fernandez-Marquez,
Nerea Luqui,
Jesus Cerquides,
Josep Analia Fukelman,
& Josep Perelló
(2022).
Is the phase of the menstrual cycle relevant when getting the covid-19 vaccine?.
American Journal of Obstetrics and Gynecology, 227, 913-915.
https://doi.org/10.1016/j.ajog.2022.07.052.
[BibTeX]
[PDF]
Carlo Bono,
Barbara Pernici,
Jose Luis Fernandez Marquez,
Amudha Ravi Shankar,
Oguz Mulayim,
& Edoardo Nemni
(2022).
TriggerCit: Early Flood Alerting using Twitter and Geolocation - a comparison with alternative sources.
Rob Grace, & Hossein Baharmand (Eds.),
ISCRAM 2022 Conference Proceedings – 19th International Conference on Information Systems for Crisis Response and Management
(pp. 674--686).
[BibTeX]
[PDF]
2021
Jesus Cerquides,
Oguz Mulayim,
Jeronimo Hernandez-Gonzalez,
Amudha Ravi Shankar,
& Jose Luis Fernandez Marquez
(2021).
A Conceptual Probabilistic Framework for Annotation Aggregation of Citizen Science Data.
Mathematics, 9.
https://doi.org/10.3390/math9080875.
[BibTeX]
[PDF]
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