Jesus
Jesus
 
Cerquides
Cerquides

Scientific Researcher
Scientific Researcher


Jesus
Jesus
 
Cerquides
Cerquides
Scientific Researcher
Scientific Researcher

Learning Systems
Learning Systems
(+34) 93 580 9570 ext.
228
228
cerquide@iiia.csic.es
cerquide@iiia.csic.es
Research areas:
  • Combinatorial Optimisation
  • Multiagent Systems
  • Citizen Science
  • Machine Learning
  • Probabilistic Graphical Models
  • Probabilistic Learning
  • Approximate Reasoning and Soft computing
  • Optimisation
  • Combinatorial Optimisation
  • Multiagent Systems
  • Citizen Science
  • Machine Learning
  • Probabilistic Graphical Models
  • Probabilistic Learning
  • Approximate Reasoning and Soft computing
  • Optimisation
Impact areas:
  • Smart Cities
  • Transport / Automotive
  • Healthcare
  • Smart Cities
  • Transport / Automotive
  • Healthcare
SDGs:
  • GOAL 11: Sustainable Cities and Communities
  • GOAL 13: Climate Action
  • GOAL 6: Clean Water and Sanitation
  • SDGs: General
  • GOAL 3: Good Health and Well-being
  • GOAL 9: Industry, Innovation & Infrastructure
  • GOAL 11: Sustainable Cities and Communities
  • GOAL 13: Climate Action
  • GOAL 6: Clean Water and Sanitation
  • SDGs: General
  • GOAL 3: Good Health and Well-being
  • GOAL 9: Industry, Innovation & Infrastructure
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]
Jesus Cerquides,  Oguz Mulayim,  Jerónimo Hernández-González,  Amudha Ravi Shankar,  & Jose Luis Fernandez-Marquez (2021). A Conceptual Probabilistic Framework for Annotation Aggregation of Citizen Science Data. Mathematics, 9. https://doi.org/10.3390/math9080875. [BibTeX]  [PDF]
Borja Sánchez-López,  & Jesus Cerquides (2021). Dual Stochastic Natural Gradient Descent and convergence of interior half-space gradient approximations. [BibTeX]  [PDF]
Jennifer Grau-Sánchez,  Emma Segura,  David Sanchez-Pinsach,  Preeti Raghavan,  Thomas F. Münte,  Anna Marie Palumbo,  Alan Turry,  Esther Duarte,  Särkämö Särkämö,  Jesus Cerquides,  Josep Lluis Arcos,  & Antoni Rodriguez-Fornells (2021). Enriched Music-supported Therapy for chronic stroke patients: a study protocol of a randomised controlled trial. BMC Neurology, 21. https://doi.org/10.1186/s12883-020-02019-1. [BibTeX]  [PDF]
Jesús Cerquides,  Juan A. Rodríguez-Aguilar,  Rémi Emonet,  & Gauthier Picard (2021). Solving Highly Cyclic Distributed Optimization Problems Without Busting the Bank: A Decimation-based Approach. Logic Journal of the IGPL, 29, 72-95. https://doi.org/10.1093/jigpal/jzaa069. [BibTeX]
2020
Jerónimo Hernández-González,  & Jesús Cerquides (2020). A Robust Solution to Variational Importance Sampling of Minimum Variance. Entropy, 22, 1405. https://doi.org/10.3390/e22121405. [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]
2019
Borja Sánchez-López,  & Jesus Cerquides (2019). Convergent Stochastic Almost Natural Gradient Descent. Artificial Intelligence Research and Development- Proceedings of the 22nd International Conference of the Catalan Association for Artificial Intelligence, 319, 54-63. [BibTeX]
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]
2018
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]
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]
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]
2017
Filippo Bistaffa,  Alessandro Farinelli,  Juan A. Rodríguez-Aguilar,  Jesús Cerquides,  & Sarvapali D. Ramchurn (2017). Algorithms for Graph-Constrained Coalition Formation in the Real World. ACM Transactions on Intelligent Systems, 8, 1-24. https://doi.org/10.1145/3040967. [BibTeX]
Francisco Cruz,  Jesús Cerquides,  Juan A. Rodríguez-Aguilar,  Antonio Espinosa,  Juan Carlos Moure,  Sarvapali D. Ramchurn,  & Kim Svensson (2017). Coalition Structure Generation Problems: parallelization of the IDP algorithm in multicore systems. Concurrency and computation: Practice and experience. https://doi.org/10.1002/cpe.3969. [BibTeX]
Jesús Cerquides,  Rémi Emonet,  Gauthier Picard,  & Juan A. Rodríguez-Aguilar (2017). Improving Max-Sum through Decimation to Solve Loopy Distributed Constraint Optimization Problems. arXiv preprint arXiv:1706.02209. [BibTeX]  [PDF]
Martin Nettling,  Henrik Treutler,  Jesús Cerquides,  & Ivo Grosse (2017). Unrealistic phylogenetic trees may improve phylogenetic footprinting. Bioinformatics. [BibTeX]
2016
Arturo Ribes,  Jesús Cerquides,  Yiannis Demiris,  & Ramón López Mántaras (2016). Active learning of object and body models with time constraints on a humanoid robot. IEEE Transactions on Cognitive and Developmental Systems, 8, 26-41. [BibTeX]
Moser Silva Fagundes,  Sascha Ossowski,  Jesús Cerquides,  & Pablo Noriega (2016). Design and evaluation of norm-aware agents based on Normative Markov Decision Processes. Int. J. Approx. Reasoning, 78, 33-61. https://doi.org/10.1016/j.ijar.2016.06.005. [BibTeX]