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 Probabilittic 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: Josep Lluís Arcos
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In Press
Jesús Cerquides,
Rémi Emonet,
Gauthier Picard,
& Juan A. Rodríguez-Aguilar
(In Press).
SOLVING HIGHLY CYCLIC DISTRIBUTED OPTIMIZATION PROBLEMS WITHOUT BUSTING THE BANK: A DECIMATION-BASED APPROACH.
Logic Journal of the IGPL.
[BibTeX]
2021
Marco Schorlemmer,
& Enric Plaza
(2021).
A Uniform Model of Computational Conceptual Blending.
Cognitive Systems Research, 65, 118--137.
https://doi.org/10.1016/j.cogsys.2020.10.003.
[BibTeX]
[PDF]
2020
Oguz Mulayim,
& Josep Lluis Arcos
(2020).
Fast anytime retrieval with confidence in large-scale temporal case bases.
Knowledge-Based Systems, 206, 106374.
https://doi.org/10.1016/j.knosys.2020.106374.
[BibTeX]
Anna Puig,
Inmaculada Rodríguez,
Josep Ll Arcos,
Juan A. Rodríguez-Aguilar,
Sergi Cebrián,
Anton Bogdanovych,
Núria Morera,
Antoni Palomo,
& Raquel Piqué
(2020).
Lessons learned from supplementing archaeological museum exhibitions with virtual reality.
Virtual Reality, 24, 343--358.
[BibTeX]
[PDF]
Filippo Bistaffa,
Juan A. Rodríguez-Aguilar,
& Jesús Cerquides
(2020).
Predicting Requests in Large-Scale Online P2P Ridesharing.
arXiv preprint arXiv:2009.02997.
[BibTeX]
[PDF]
Zoe Falomir,
& Enric Plaza
(2020).
Towards a model of creative understanding: deconstructing and recreating conceptual blends using image schemas and qualitative spatial descriptors.
Annals of Mathematics and Artificial Intelligence, 88, 457-477.
https://doi.org/10.1007/s10472-019-09619-9.
[BibTeX]
2019
Filippo Bistaffa,
Christian Blum,
Jesús Cerquides,
Alessandro Farinelli,
& Juan A. Rodríguez-Aguilar
(2019).
A Computational Approach to Quantify the Benefits of Ridesharing for Policy Makers and Travellers.
IEEE Transactions on Intelligent Transportation Systems.
[BibTeX]
[PDF]
David Sanchez-Pinsach,
Oguz Mulayim,
Jennifer Grau-Sánchez,
Emma Segura,
Berta Juan-Corbella,
Josep Lluis Arcos,
Jesus Cerquides,
Monique Messaggi-Sartor,
Esther Duarte,
& Antoni Rodriguez-Fornells
(2019).
Design of an AI Platform to Support Home-Based Self-Training Music Interventions for Chronic Stroke Patients.
Jordi Sabater-Mir, Vicenç Torra, Isabel Aguilo, & Manuel González-Hidalgo (Eds.),
Frontiers in Artificial Intelligence and Applications (pp 170--175).
IOS Press.
https://doi.org/10.3233/FAIA190120.
[BibTeX]
Inmaculada Rodriguez,
Anna Puig,
Juan A. Rodríguez-Aguilar,
Josep Lluis Arcos,
Sergi Cebrián,
Anton Bogdanovych,
Núria Morera,
Raquel Piqué,
& Antoni Palomo
(2019).
On the Relationship between Subjective and Objective Measures of Virtual Reality Experiences: a Case Study of a Serious Game.
International Symposium on Gamification and Games for Learning (GamiLearn 2019)
.
CEUR-WS.org.
[BibTeX]
2018
Manfred Eppe,
Ewen Maclean,
Roberto Confalonieri,
Oliver Kutz,
Marco Schorlemmer,
Enric Plaza,
& Kai-Uwe Kühnberger
(2018).
A computational framework for conceptual blending.
Artificial Intelligence, 256, 105-129.
[BibTeX]
Pham Tran Anh Quang,
Kamal Deep Singh,
Juan A. Rodríguez-Aguilar,
Gauthier Picard,
Kandaraj Piamrat,
Jesús Cerquides,
& César Viho
(2018).
AD3-GLaM: A Cooperative Distributed QoE-based Approach for SVC Video Streaming over Wireless Mesh Networks.
Ad Hoc Networks, 80, 1-15.
https://doi.org/10.1016/j.adhoc.2018.07.005.
[BibTeX]
Fèlix Bou,
Enric Plaza,
& Marco Schorlemmer
(2018).
Amalgams, colimits, and conceptual blending.
Concept Invention: Foundations, Implementation, Social Aspects and Applications.
Springer.
https://doi.org/10.1007/978-3-319-65602-1_2.
[BibTeX]
Zoe Falomir,
Karina Gibert,
& Enric Plaza
(2018).
Artificial Intelligence Research and Development. Current Challenges, New Trends and Applications, CCIA-2018
.
IOS Press.
https://doi.org/http://ebooks.iospress.nl/volume/artificial-intelligence-research-and-development-current-challenges-new-trends-and-applications.
[BibTeX]
Filippo Bistaffa,
Juan A. Rodríguez-Aguilar,
Jesús Cerquides,
& Christian Blum
(2018).
A Simulation Tool for Large-Scale Online Ridesharing (Demonstration).
International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2018)
(pp. 1797-1799).
IFAAMAS.
https://doi.org/https://dl.acm.org/citation.cfm?id=3237981.
[BibTeX]
Sergi Cebrián,
Núria Morera,
Joan Anton Barceló,
Igor Bogdanovic,
Oriol López-Bultó,
Ivan Campana,
Antoni Palomo,
Raquel Piqué,
Jordi Revelles,
Xavier Terradas,
Josep Lluis Arcos,
Juan A. Rodríguez-Aguilar,
Anton Bogdanovych,
Simeon Simoff,
Tomas Trescak,
Inmaculada Rodriguez,
& Anna Puig
(2018).
Beyond the Virtual Reconstruction of an Archaeological Settlement.
Computer Applications and Quantitative Methods in Archaeology (CAA) international conference
.
[BibTeX]
Roberto Confalonieri,
Enric Plaza,
& Marco Schorlemmer
(2018).
Computational aspects of concept invention.
Concept Invention. Foundations, Implementation, Social Aspects and Applications.
Springer.
https://doi.org/10.1007/978-3-319-65602-1_2.
[BibTeX]
Jesús Cerquides,
Rémi Emonet,
Gauthier Picard,
& Juan A. Rodríguez-Aguilar
(2018).
DeciMaxSum: Décimer pour résoudre des DCOP cycliques plus efficacement.
26emes Journées Francophones sur les Systèmes Multi-Agents (JSFMA 2018)
.
[BibTeX]
Jesus Cerquides,
Rémi Emonet,
Gauthier Picard,
& Juan A. Rodríguez-Aguilar
(2018).
Decimaxsum: Décimer pour résoudre des dcop cycliques plus efficacement. In Journées Francophones sur les Systèmes Multi-Agents.
.
[BibTeX]
Jesús Cerquides,
Rémi Emonet,
Gauthier Picard,
& Juan A. Rodríguez-Aguilar
(2018).
DeciMaxSum: Using decimation to improve max-sum on cyclic DCOPs.
Artificial Intelligence Research and Development (pp 27-36).
IOS Press.
[BibTeX]
Oguz Mulayim,
& Josep Lluis Arcos
(2018).
Perks of Being Lazy: Boosting Retrieval Performance.
Twenty-Sixth International Conference on Case-Based Reasoning
.
https://doi.org/10.1007/978-3-030-01081-2_21.
[BibTeX]
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