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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.
431816
431816
cerquide@iiia.csic.es
cerquide@iiia.csic.es
Research areas:
  • Citizen Science
  • Deep Learning
  • Machine Learning
  • Probabilistic Graphical Models
  • Probabilistic Learning
  • Causal Inference
  • Combinatorial Optimisation
  • Multiagent Systems
  • Optimisation
  • Swarn Computing
  • Approximate Reasoning and Soft computing
  • Citizen Science
  • Deep Learning
  • Machine Learning
  • Probabilistic Graphical Models
  • Probabilistic Learning
  • Causal Inference
  • Combinatorial Optimisation
  • Multiagent Systems
  • Optimisation
  • Swarn Computing
  • Approximate Reasoning and Soft computing
Impact areas:
  • Smart Cities
  • Healthcare
  • Transport / Automotive
  • Industry
  • Smart Cities
  • Healthcare
  • Transport / Automotive
  • Industry
SDGs:
  • GOAL 13: Climate Action
  • SDGs: General
  • GOAL 11: Sustainable Cities and Communities
  • GOAL 03: Good Health and Well-being
  • GOAL 06: Clean Water and Sanitation
  • GOAL 09: Industry, Innovation & Infrastructure
  • GOAL 13: Climate Action
  • SDGs: General
  • GOAL 11: Sustainable Cities and Communities
  • GOAL 03: Good Health and Well-being
  • GOAL 06: Clean Water and Sanitation
  • GOAL 09: Industry, Innovation & Infrastructure
2023
Carlo Bono,  Oguz Mulayim,  Cinzia Cappiello,  Mark James Carman,  Jesus Cerquides,  Jose Luis Fernandez Marquez,  Maria Rosa Mondardini,  Edoardo Ramalli,  & Barbara Pernici (2023). A Citizen Science Approach for Analyzing Social Media With Crowdsourcing. IEEE Access, 11, 15329-15347. https://doi.org/10.1109/ACCESS.2023.3243791. [BibTeX]  [PDF]
2022
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 (pp 279--288). IOS Press. https://doi.org/10.3233/FAIA220349. [BibTeX]  [PDF]
Georgios Athanasiou,  Jesus Cerquides,  Annelies Raes,  Nima Azari-Dolatabad,  Daniel Angel-Velez,  Ann Van Soom,  & Josep Lluis Arcos (2022). Detecting the Area of Bovine Cumulus Oocyte Complexes Using Deep Learning and Semantic Segmentation. A. Cortés al. (Eds.), Frontiers in Artificial Intelligence and Applications (pp 249-258). IOS Press. https://doi.org/10.3233/FAIA220346. [BibTeX]
Borja Velasco,  Jesus Cerquides,  & Josep Lluis Arcos (2022). Hydranet: A Neural Network for the estimation of Multi-valued Treatment Effects. NeurIPS 2022 Workshop on Causality for Real-world Impact . [BibTeX]  [PDF]
Borja Velasco,  Jose L Fernandez-Marquez,  Nerea Luqui,  Jesus Cerquides,  Josep Lluis Arcos,  Analia Fukelman,  & Josep Perelló (2022). Is the phase of the menstrual cycle relevant when getting the covid-19 vaccine?. American Journal of Obstetrics & Gynecology. [BibTeX]  [PDF]
Jerónimo Hernández-González,  Olga Valls,  Adrián Torres-Martín,  & Jesús Cerquides (2022). Modeling three sources of uncertainty in assisted reproductive technologies with probabilistic graphical models. Computers in Biology and Medicine, 150, 106160. https://doi.org/10.1016/j.compbiomed.2022.106160. [BibTeX]  [PDF]
Nuria Correa,  Jesús Cerquides,  Josep Lluis Arcos,  & Rita Vassena (2022). Supporting first FSH dosage for ovarian stimulation with machine learning. Reproductive Biomedicine Online. https://doi.org/10.1016/j.rbmo.2022.06.010. [BibTeX]
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,  Jeronimo Hernandez-Gonzalez,  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]
Jesus Cerquides (2021). A First Approach to Closeness Distributions. Mathematics, 9. https://doi.org/10.3390/math9233112. [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. Human Reproduction, 36. https://doi.org/10.1093/humrep/deab130.636. [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 245-253). 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]
N. Corre Mañas,  F Rodríguez,  J Cerquides,  J L Arcos,  & R Vassena (2021). {P–637 Development and validation of an Artificial Intelligence algorithm that matches a clinician ability to select the best follitropin dose for ovarian stimulation}. Human Reproduction, 36. https://doi.org/10.1093/humrep/deab130.636. [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]