SGR 2021
: SGR : Ajuts a Grups de Recerca Consolidats
A Project coordinated by IIIA.
Principal investigator:
Collaborating organisations:
2024
Thiago Freitas Santos,
Nardine Osman,
& Marco Schorlemmer
(2024).
Can Interpretability Layouts Influence Human Perception of Offensive Sentences?.
Davide Calvaresi, Amro Najjar, Andrea Omicini, Reyhan Aydogan, Rachele Carli, Giovanni Ciatto, Joris Hulstijn, & Kary Främling (Eds.),
Explainable and Transparent AI and Multi-Agent Systems - 6th International Workshop, EXTRAAMAS 2024, Auckland, New Zealand, May 6-10, 2024, Revised Selected Papers
(pp. 39--57).
Springer.
https://doi.org/10.1007/978-3-031-70074-3_3.
[BibTeX]
Marco Schorlemmer,
Mohamad Ballout,
& Kai-Uwe Kühnberger
(2024).
Generating Qualitative Descriptions of Diagrams with a Transformer-Based Language Model.
Jens Lemanski, Mikkel Willum Johansen, Emmanuel Manalo, Petrucio Viana, Reetu Bhattacharjee, & Richard Burns (Eds.),
Diagrammatic Representation and Inference - 14th International Conference, Diagrams 2024, Münster, Germany, September 27 - October 1, 2024, Proceedings
(pp. 61--75).
Springer.
https://doi.org/10.1007/978-3-031-71291-3_5.
[BibTeX]
Thiago Freitas Santos,
Nardine Osman,
& Marco Schorlemmer
(2024).
Is This a Violation? Learning and Understanding Norm Violations in Online Communities.
Artificial Intelligence, 327.
https://doi.org/10.1016/j.artint.2023.104058.
[BibTeX]
2023
Jordi Ganzer-Ripoll,
Natalia Criado,
Maite Lopez-Sanchez,
Simon Parsons,
& Juan A. Rodríguez-Aguilar
(2023).
A model to support collective reasoning: Formalization, analysis and computational assessment.
Journal of Artificial Intelligence Research.
[BibTeX]
[PDF]
Thiago Freitas Santos,
Nardine Osman,
& Marco Schorlemmer
(2023).
A multi-scenario approach to continuously learn and understand norm violations.
Autonomous Agents and Multi-Agent Systems, 37, 38.
https://doi.org/10.1007/s10458-023-09619-4.
[BibTeX]
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://ceur-ws.org/Vol-3511/paper\_05.pdf.
[BibTeX]
Marc Serramia,
Maite López-Sánchez,
Stefano Moretti,
& Juan A. Rodríguez-Aguilar
(2023).
Building rankings encompassing multiple criteria to support qualitative decision-making.
Information Sciences, 631, 288-304.
[BibTeX]
[PDF]
Thiago Freitas Santos,
Stephen Cranefield,
Bastin Tony Roy Savarimuthu,
Nardine Osman,
& Marco Schorlemmer
(2023).
Cross-community Adapter Learning {(CAL)}to Understand the Evolving Meanings of Norm Violation.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, {IJCAI}2023, 19th-25th August 2023, Macao, SAR, China
(pp. 109--117).
ijcai.org.
https://doi.org/10.24963/IJCAI.2023/13.
[BibTeX]
Manel Rodríguez Soto,
Maite López-Sánchez,
& Juan A. Rodríguez-Aguilar
(2023).
Multi-objective reinforcement learning for designing ethical multi-agent environments.
Neural Computing and Applications.
https://doi.org/10.1007/s00521-023-08898-y.
[BibTeX]
[PDF]
Athina Georgara,
Raman Kazhamiakin,
Ornella Mich,
Alessio Palmero Approsio,
Jean-Christoph Pazzaglia,
Juan A. Rodríguez-Aguilar,
& Carles Sierra
(2023).
The AI4Citizen pilot: Pipelining AI-based technologies to support school-work alternation programmes.
Applied Intelligence.
https://doi.org/10.1007/s10489-023-04758-3.
[BibTeX]
[PDF]
Enrico Liscio,
Roger Xavier Lera Leri,
Filippo Bistaffa,
Roel I. J. Dobbe,
Catholijn M. Jonker,
Maite López-Sánchez,
Juan A. Rodríguez-Aguilar,
& Pradeep K. Murukannaiah
(2023).
Value Inference in Sociotechnical Systems.
Proceedings of the 22nd International Conference on Autonomous Agents and Multiagent Systems (AAMAS)
(pp. 1774-1780).
[BibTeX]
[PDF]
