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2024
Hafiz Budi Firmansyah,  Jose Luis Fernandez Marquez,  Oguz Mulayim,  Jorge Gomes,  & Valerio Lorini (2024). 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 (pp. 77–81). Association for Computing Machinery. https://doi.org/10.1145/3625007.3627831. [BibTeX]  [PDF]
Roger Xavier Lera Leri,  Enrico Liscio,  Filippo Bistaffa,  Catholijn M. Jonker,  Maite Lopez-Sanchez,  Pradeep K. Murukannaiah,  Juan A. Rodríguez-Aguilar,  & Francisco Salas-Molina (2024). Aggregating value systems for decision support. Knowledge-Based Systems, 287, 111453. https://doi.org/10.1016/j.knosys.2024.111453. [BibTeX]  [PDF]
Adrià Fenoy,  Filippo Bistaffa,  & Alessandro Farinelli (2024). An attention model for the formation of collectives in real-world domains. Artificial Intelligence, 328, 104064. https://doi.org/10.1016/j.artint.2023.104064. [BibTeX]  [PDF]
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]
Hafiz Budi Firmansyah,  Jose Luis Fernandez Marquez,  Oguz Mulayim,  Jorge Gomes,  Joao Ribeiro,  & Valerio Lorini (2024). Empowering Crisis Response Efforts: A Novel Approach to Geolocating Social Media Images for Enhanced Situational Awareness. ISCRAM Proceedings, 21. https://ojs.iscram.org/index.php/Proceedings/article/view/21. [BibTeX]  [PDF]
Hafiz Budi Firmansyah,  Valerio Lorini,  Oguz Mulayim,  Jorge Gomes,  & Jose Luis Fernandez Marquez (2024). Improving Social Media Geolocation for Disaster Response by Using Text From Images and ChatGPT. Proceedings of the 2024 11th Multidisciplinary International Social Networks Conference (pp. 67–72). Association for Computing Machinery. https://doi.org/10.1145/3675669.3675696. [BibTeX]  [PDF]
M Serramia Amoros,  M Lopez-Sanchez,  Juan A. Rodríguez-Aguilar,  & S Moretti (2024). Value alignment in participatory budgeting. Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems . [BibTeX]  [PDF]
2023
Francisco Salas-Molina,  Filippo Bistaffa,  & Juan A. Rodríguez-Aguilar (2023). A general approach for computing a consensus in group decision making that integrates multiple ethical principles. Socio-Economic Planning Sciences, 89, 101694. https://doi.org/10.1016/j.seps.2023.101694. [BibTeX]  [PDF]
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]
Filippo Bistaffa (2023). Faster Exact MPE and Constrained Optimization with Deterministic Finite State Automata. Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, {IJCAI}2023, 19th-25th August 2023, Macao, SAR, China (pp. 1884--1892). ijcai.org. https://doi.org/10.24963/IJCAI.2023/209. [BibTeX]
Enrico Liscio,  Roger Lera-Leri,  Filippo Bistaffa,  Roel I. J. Dobbe,  Catholijn M. Jonker,  Maite López-Sánchez,  Juan A. Rodríguez-Aguilar,  & Pradeep K. Murukannaiah (2023). Inferring Values via Hybrid Intelligence. Proceedings of the 2nd International Conference on Hybrid Human Artificial Intelligence (HHAI) (pp. In press). [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]
2022
Pol Vidal Lamolla,  Alexandra Popartan,  Toni Perello-Moragues,  Pablo Noriega,  David Sauri,  Manel Poch,  & Maria Molinos-Senante (2022). Agent-based modelling to simulate the socio-economic effects of implementing time-of-use tariffs for domestic water. Sustainable Cities and Society, 86, 104118. https://doi.org/10.1016/j.scs.2022.104118. [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, Vol. 356: Artificial Intelligence Research and Development (pp 279--288). IOS Press. https://doi.org/10.3233/FAIA220349. [BibTeX]  [PDF]
Jesus Cerquides (2022). crowdnalysis: A software library to help analyze crowdsourcing results. https://doi.org/10.5281/zenodo.5898579. [BibTeX]
Filippo Bistaffa,  Georgios Chalkiadakis,  & Alessandro Farinelli (2022). Efficient Coalition Structure Generation via Approximately Equivalent Induced Subgraph Games. IEEE Transactions on Cybernetics, 52, 5548-5558. https://doi.org/10.1109/TCYB.2020.3040622. [BibTeX]  [PDF]
Barbara Pernici,  Carlo Bono,  Jose Luis Fernandez Marquez,  & Oguz Mulayim (2022). The Challenge of Collecting and Analyzing Information from Citizens and Social Media in Emergencies: The Crowd4SDG Experience and Tools. Renata Guizzardi, Jolita Ralyté, & Xavier Franch (Eds.), Research Challenges in Information Science: 16th International Conference, RCIS 2022, Proceedings (pp. 823-824). Springer. [BibTeX]  [PDF]
2021
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. https://doi.org/10.1109/TITS.2019.2954982. [BibTeX]  [PDF]
Maite Lopez-Sanchez,  Marc Serramia,  & Juan A Rodríguez-Aguilar (2021). Improving on-line debates by aggregating citizen support. Artificial Intelligence Research and Development. IOS Press. [BibTeX]  [PDF]
Antoni Perello-Moragues,  Manel Poch,  David Sauri,  Lucia Alexandra Popartan,  & Pablo Noriega (2021). Modelling Domestic Water Use in Metropolitan Areas Using Socio-Cognitive Agents. Water, 13. https://doi.org/10.3390/w13081024. [BibTeX]  [PDF]