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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

Georgios Athanasiou
PhD Student
Phone Ext. 431833

Jesus Cerquides
Scientific Researcher
Phone Ext. 431816

Bjoern Komander
PhD Student

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

Oguz Mulayim
Contract Researcher
Phone Ext. 431845

Enric Plaza
Research Professor
Phone Ext. 431852

Borja Velasco
Industrial PhD Student
Phone Ext. 431866

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. [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. [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. [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. [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. [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. [BibTeX]  [PDF]
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 (pp 279--288). IOS Press. [BibTeX]  [PDF]
Georgios Athanasiou,  Jesus Cerquides,  Annelies Raes,  Nima Azari-Dolatabad,  Daniel Angel-Velez,  Ann Van Soom,  & Josep Lluis Arcos (2022). Detecting the Area of Bovine Cumulus Oocyte Complexes Using Deep Learning and Semantic Segmentation. A. Cortés al. (Eds.), Frontiers in Artificial Intelligence and Applications (pp 249-258). IOS Press. [BibTeX]
Dimitra Bourou,  Marco Schorlemmer,  & Enric Plaza (2022). Embodied Sense-Making of Diagrams as Conceptual Blending with Image Schemas. Maria M. Hedblom, & Oliver Kutz (Eds.), Proceedings of the Sixth Image Schema Day, Jönköping, Sweden, March 24-25th, 2022 . [BibTeX]  [PDF]
Dimitra Bourou,  Marco Schorlemmer,  & Enric Plaza (2022). Euler vs Hasse Diagrams for Reasoning About Sets: A Cognitive Approach. Valeria Giardino, Sven Linker, Richard Burns, Francesco Bellucci, Jean-Michel Boucheix, & Petrucio Viana (Eds.), Diagrammatic Representation and Inference - 13th International Conference, Diagrams 2022, Rome, Italy, September 14-16, 2022, Proceedings (pp. 151--167). Springer. [BibTeX]
Borja Velasco,  Jesus Cerquides,  & Josep Lluis Arcos (2022). Hydranet: A Neural Network for the estimation of Multi-valued Treatment Effects. NeurIPS 2022 Workshop on Causality for Real-world Impact . [BibTeX]  [PDF]
Borja Velasco,  Jose L Fernandez-Marquez,  Nerea Luqui,  Jesus Cerquides,  Josep Lluis Arcos,  Analia Fukelman,  & Josep Perelló (2022). Is the phase of the menstrual cycle relevant when getting the covid-19 vaccine?. American Journal of Obstetrics & Gynecology. [BibTeX]  [PDF]
Jerónimo Hernández-González,  Olga Valls,  Adrián Torres-Martín,  & Jesús Cerquides (2022). Modeling three sources of uncertainty in assisted reproductive technologies with probabilistic graphical models. Computers in Biology and Medicine, 150, 106160. [BibTeX]  [PDF]
Nuria Correa,  Jesús Cerquides,  Josep Lluis Arcos,  & Rita Vassena (2022). Supporting first FSH dosage for ovarian stimulation with machine learning. Reproductive Biomedicine Online. [BibTeX]
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]
Dimitra Bourou,  Marco Schorlemmer,  & Enric Plaza (2021). A Cognitively-Inspired Model for Making Sense of Hasse Diagrams. Proc. of the 23rd International Conference of the Catalan Association for Artificial Intelligence (CCIA 2021), October 20-22, Lleida, Catalonia, Spain . [BibTeX]
Filippo Bistaffa,  Christian Blum,  Jesús Cerquides,  Alessandro Farinelli,  & Juan A. Rodríguez-Aguilar (2021). A Computational Approach to Quantify the Benefits of Ridesharing for Policy Makers and Travellers. IEEE Transactions on Intelligent Transportation Systems, 22, 119-130. [BibTeX]  [PDF]