Jesus
Jesus
 
Cerquides
Cerquides

Scientific Researcher
Scientific Researcher


Jesus
Jesus
 
Cerquides
Cerquides
Scientific Researcher
Scientific Researcher
Head of the Learning Systems Group
Head of the Learning Systems Group

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
  • Optimisation
  • Swarn Computing
  • Approximate Reasoning and Soft computing
  • Combinatorial Optimisation
  • Multiagent Systems
  • Citizen Science
  • Machine Learning
  • Probabilistic Graphical Models
  • Probabilistic Learning
  • Optimisation
  • Swarn Computing
  • Approximate Reasoning and Soft computing
Impact areas:
  • Smart Cities
  • Transport / Automotive
  • Healthcare
  • Industry
  • Smart Cities
  • Transport / Automotive
  • Healthcare
  • Industry
SDGs:
  • GOAL 11: Sustainable Cities and Communities
  • GOAL 06: Clean Water and Sanitation
  • GOAL 13: Climate Action
  • SDGs: General
  • GOAL 03: Good Health and Well-being
  • GOAL 09: Industry, Innovation & Infrastructure
  • GOAL 11: Sustainable Cities and Communities
  • GOAL 06: Clean Water and Sanitation
  • GOAL 13: Climate Action
  • SDGs: General
  • GOAL 03: Good Health and Well-being
  • GOAL 09: 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]
Núria Correa,  Jesús Cerquides,  Josep Lluis Arcos,  & Rita Vassena (2021). Development and validation of an Artificial Intelligence algorithm that matches a clinician ability to select the best follitropin dose for ovarian stimulation. ESHRE . [BibTeX]
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]
Núria Correa,  Rita Vassena,  Jesus Cerquides,  & Josep Lluis Arcos (2021). Limits of conventional Machine Learning methods to predict pregnancy and multiple pregnancy after embryo transfer. Ada Valls, & Mateu Villaret (Eds.), Frontiers in Artificial Intelligence and Applications (pp In Press). IOS Press. [BibTeX]
Borja Sánchez-López,  & Jesus Cerquides (2021). On the Convergence of Stochastic Process Convergence Proofs. Mathematics, 9. https://doi.org/10.3390/math9131470. [BibTeX]  [PDF]
Borja Sánchez-López,  & Jesus Cerquides (2021). On the Convergence of Stochastic Process Convergence Proofs. Mathematics, 9. https://doi.org/10.3390/math9131470. [BibTeX]  [PDF]
Jon Perez,  Jose Luis Flores,  Christian Blum,  Jesus Cerquides,  & Alex Abuin (2021). Optimization Techniques and Formal Verification for the Software Design of Boolean Algebra Based Safety-Critical Systems. IEEE Transactions on Industrial Informatics, 1-1. https://doi.org/10.1109/TII.2021.3074394. [BibTeX]
Jesus Cerquides (2021). Parametrization invariant interpretation of priors and posteriors. arXiv:2105.08304 [cs, math, stat]. https://doi.org/http://arxiv.org/abs/2105.08304. [BibTeX]
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]