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Learning Systems

The research of this group focuses on the development of machine learning algorithms, models, software, and applications. From an algorithmic/modeling perspective, the group pursues research in Probabilistic Graphical Models,  Case-Base Reasoning, Transfer Learning, and Deep Learning. From the software and applications perspective the group concentrates on the application areas such as Social Networks, Music, Robotics, Multiagent Systems, Bioinformatics, and Healthcare.

Head of Department:  Jesus Cerquides
Eva Armengol
Tenured Scientist
Phone Ext. 431851

Rocco Ballester Benito
Industrial PhD Student

Jesus Cerquides
Scientific Researcher
Phone Ext. 431859

Bjoern Komander
PhD Student

Ramon Lopez de Mantaras
Adjunct Professor Ad Honorem
Phone Ext. 431828

Oguz Mulayim
Contract Researcher
Phone Ext. 431845

Pau Olives Tarres
Contract Engineer

Enric Plaza
Research Professor
Phone Ext. 431852

Pol Rodriguez Farres
Masters Student

Martí Sánchez Fibla
Tenured Scientist
Phone Ext. 431853

Borja Velasco
Industrial PhD Student
Phone Ext. 431866

In Press
Hafiz Budi Firmansyah,  Jose Luis Fernandez Marquez,  Oguz Mulayim,  Jorge Gomes,  & Valerio Lorini (In Press). Accelerating Crisis Response: Automated Image Classification for Geolocating Social Media Content. Proceedings of The 2023 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM) . [BibTeX]
2024
Nuria Correa,  Jesus Cerquides,  Rita Vassena,  Mina Popovic,  & Josep Lluis Arcos (2024). {{IDoser}}: {{Improving}}Individualized Dosing Policies with Clinical Practice and Machine Learning. Expert Systems with Applications, 238, 121796. https://doi.org/10.1016/j.eswa.2023.121796. [BibTeX]  [PDF]
Nuria Correa,  Jesus Cerquides,  Josep Lluis Arcos,  Rita Vassena,  & Mina Popovic (2024). Personalizing the First Dose of {{FSH}}for {{IVF}}/{{ICSI}}Patients through Machine Learning: A Non-Inferiority Study Protocol for a Multi-Center Randomized Controlled Trial. Trials, 25, 38. https://doi.org/10.1186/s13063-024-07907-2. [BibTeX]  [PDF]
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]
N Correa Mañas,  J Cerquides,  J L Arcos,  R Vassena,  & M Popovic (2023). {A clinically robust machine learning model for selecting the first FSH dose during controlled ovarian hyperstimulation: incorporating clinical knowledge to the learning process}. Human Reproduction, 38, dead093.226. https://doi.org/10.1093/humrep/dead093.226. [BibTeX]  [PDF]
Dimitra Bourou,  Marco Schorlemmer,  & Enric Plaza (2023). An Image-Schematic Analysis of Hasse and Euler Diagrams. Maria M. Hedblom, & Oliver Kutz (Eds.), Proceedings of The Seventh Image Schema Day co-located with The 20th International Conference on Principles of Knowledge Representation and Reasoning (KR 2023), Rhodes, Greece, September 2nd, 2023 . CEUR-WS.org. https://doi.org/https://ceur-ws.org/Vol-3511/paper\_05.pdf. [BibTeX]
Jon {Perez-Cerrolaza},  Jaume Abella,  Markus Borg,  Carlo Donzella,  Jesús Cerquides,  Francisco J. Cazorla,  Cristofer Englund,  Markus Tauber,  George Nikolakopoulos,  & Jose Luis Flores (2023). Artificial {{Intelligence}}for {{Safety-Critical Systems}}in {{Industrial}}and {{Transportation Domains}}: {{A Survey}}. ACM Computing Surveys. https://doi.org/10.1145/3626314. [BibTeX]  [PDF]
Bjoern Komander,  Jesus Cerquides,  & Jaume Piera (2023). Developing and Validating Tools for the Automated Analysis and Enhancement of Online Discussions. HHAI 2023: Augmenting Human Intellect (pp 433--435). IOS Press. [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]
Georgios Athanasiou,  Josep Lluis Arcos,  & Jesus Cerquides (2023). Enhancing Medical Image Segmentation: Ground Truth Optimization through Evaluating Uncertainty in Expert Annotations. Mathematics, 11. https://doi.org/10.3390/math11173771. [BibTeX]  [PDF]
Carlo Bono,  Oguz Mulayim,  & Barbara Pernici (2023). Learning Early Detection of Emergencies from Word Usage Patterns on Social Media. Terje Gjøsæter, Jaziar Radianti, & Yuko Murayama (Eds.), Information Technology in Disaster Risk Reduction (pp. 308--323). Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-34207-3_20. [BibTeX]  [PDF]
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]
A. Raes,  N. Azari-Dolatabad,  G. Athanasiou,  J.L. Arcos,  J. Cerquides,  G. Opsomer,  K. Smits,  D. Angel-Velez,  & A. {Van Soom} (2023). Measuring cumulus expansion of bovine cumulus-oocyte complexes: comparing the reliability of three methods. Animal - science proceedings, 14, 449-450. https://doi.org/10.1016/j.anscip.2023.03.032. [BibTeX]  [PDF]
Joel Arweiler,  Cihan Ates,  Jesus Cerquides,  Rainer Koch,  & Hans-Jörg Bauer (2023). Similarity-{{Based Framework}}for {{Unsupervised Domain Adaptation}}: {{Peer Reviewing Policy}}for {{Pseudo-Labeling}}. Machine Learning and Knowledge Extraction, 5, 1474--1492. https://doi.org/10.3390/make5040074. [BibTeX]  [PDF]
Hafiz Budi Firmansyah,  Jose Luis {Fernandez-Marquez},  Jesus Cerquides,  & Giovanna Di Marzo Serugendo (2023). Single or Ensemble Model ? {{A}}Study on Social Media Images Classification in Disaster Response. The 10th {{Multidisciplinary International Social Networks Conference}} (pp. 48--54). {Association for Computing Machinery}. https://doi.org/10.1145/3624875.3624884. [BibTeX]  [PDF]
Pablo Noriega,  & Enric Plaza (2023). The Use of Agent-based Simulation of Public Policy Design to Study the Value Alignment Problem. Proc. AIGEL 2022 Artificial Intelligence Governance Ethics and Law Workshop 2022 . CEUR-WS. https://doi.org/https://ceur-ws.org/Vol-3531/SPaper_10.pdf. [BibTeX]  [PDF]
Becky White,  Arnault Gombert,  Tim Nguyen,  Brian Yau,  Atsuyoshi Ishizumi,  Laura Kirchner,  Alicia Leon,  Harry Wilson,  Giovanna Jaramillo-Gutierrez,  Jesus Cerquides,  & others (2023). Using artificial intelligence to inform infodemic insights: The development of the who ears platform. APHA 2023 Annual Meeting and Expo . [BibTeX]
Becky K White,  Arnault Gombert,  Tim Nguyen,  Brian Yau,  Atsuyoshi Ishizumi,  Laura Kirchner,  Alicia León,  Harry Wilson,  Giovanna Jaramillo-Gutierrez,  Jesus Cerquides,  Marcelo D'Agostino,  Cristiana Salvi,  Ravi Shankar Sreenath,  Kimberly Rambaud,  Dalia Samhouri,  Sylvie Briand,  & Tina D Purnat (2023). Using Machine Learning Technology (Early Artificial Intelligence--Supported Response With Social Listening Platform) to Enhance Digital Social Understanding for the COVID-19 Infodemic: Development and Implementation Study. JMIR Infodemiology, 3, e47317. https://doi.org/10.2196/47317. [BibTeX]  [PDF]
Becky K. White,  Arnault Gombert,  Tim Nguyen,  Brian Yau,  Atsuyoshi Ishizumi,  Laura Kirchner,  Alicia León,  Harry Wilson,  Giovanna {Jaramillo-Gutierrez},  Jesus Cerquides,  Marcelo D'Agostino,  Cristiana Salvi,  Ravi Shankar Sreenath,  Kimberly Rambaud,  Dalia Samhouri,  Sylvie Briand,  & Tina D. Purnat (2023). Using {{Machine Learning Technology}}({{Early Artificial Intelligence}}\textendash{{Supported Response With Social Listening Platform}}) to {{Enhance Digital Social Understanding}}for the {{COVID-19 Infodemic}}: {{Development}}and {{Implementation Study}}. JMIR Infodemiology, 3, e47317. https://doi.org/10.2196/47317. [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]