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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.
431859
431859
cerquide@iiia.csic.es
cerquide@iiia.csic.es
Research areas:
  • Causal Inference
  • Machine Learning
  • Citizen Science
  • Deep Learning
  • Probabilistic Graphical Models
  • Probabilistic Learning
  • Optimisation
  • Natural Language Processing
  • Image Segmentation
  • Combinatorial Optimisation
  • Multiagent Systems
  • Swarn Computing
  • Approximate Reasoning and Soft computing
  • Causal Inference
  • Machine Learning
  • Citizen Science
  • Deep Learning
  • Probabilistic Graphical Models
  • Probabilistic Learning
  • Optimisation
  • Natural Language Processing
  • Image Segmentation
  • Combinatorial Optimisation
  • Multiagent Systems
  • Swarn Computing
  • Approximate Reasoning and Soft computing
Impact areas:
  • Healthcare
  • Industry
  • Smart Cities
  • Social Networking
  • Transport / Automotive
  • Healthcare
  • Industry
  • Smart Cities
  • Social Networking
  • Transport / Automotive
SDGs:
  • GOAL 03: Good Health and Well-being
  • GOAL 13: Climate Action
  • SDGs: General
  • GOAL 09: Industry, Innovation & Infrastructure
  • GOAL 16: Peace, Justice and Strong Institutions
  • GOAL 11: Sustainable Cities and Communities
  • GOAL 10: Reduced Inequality
  • GOAL 06: Clean Water and Sanitation
  • GOAL 03: Good Health and Well-being
  • GOAL 13: Climate Action
  • SDGs: General
  • GOAL 09: Industry, Innovation & Infrastructure
  • GOAL 16: Peace, Justice and Strong Institutions
  • GOAL 11: Sustainable Cities and Communities
  • GOAL 10: Reduced Inequality
  • GOAL 06: Clean Water and Sanitation
2024
Nuria Correa,  Jesus Cerquides,  Rita Vassena,  Mina Popovic,  & Josep Lluis Arcos (2024). {{IDoser}}: {{Improving}}Individualized Dosing Policies with Clinical Practice and Machine Learning. Expert Systems with Applications, 238, 121796. https://doi.org/10.1016/j.eswa.2023.121796. [BibTeX]  [PDF]
Nuria Correa,  Jesus Cerquides,  Josep Lluis Arcos,  Rita Vassena,  & Mina Popovic (2024). Personalizing the First Dose of {{FSH}}for {{IVF}}/{{ICSI}}Patients through Machine Learning: A Non-Inferiority Study Protocol for a Multi-Center Randomized Controlled Trial. Trials, 25, 38. https://doi.org/10.1186/s13063-024-07907-2. [BibTeX]  [PDF]
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]
N Correa Mañas,  J Cerquides,  J L Arcos,  R Vassena,  & M Popovic (2023). {A clinically robust machine learning model for selecting the first FSH dose during controlled ovarian hyperstimulation: incorporating clinical knowledge to the learning process}. Human Reproduction, 38, dead093.226. https://doi.org/10.1093/humrep/dead093.226. [BibTeX]  [PDF]
Jon {Perez-Cerrolaza},  Jaume Abella,  Markus Borg,  Carlo Donzella,  Jesús Cerquides,  Francisco J. Cazorla,  Cristofer Englund,  Markus Tauber,  George Nikolakopoulos,  & Jose Luis Flores (2023). Artificial {{Intelligence}}for {{Safety-Critical Systems}}in {{Industrial}}and {{Transportation Domains}}: {{A Survey}}. ACM Computing Surveys. https://doi.org/10.1145/3626314. [BibTeX]  [PDF]
Bjoern Komander,  Jesus Cerquides,  & Jaume Piera (2023). Developing and Validating Tools for the Automated Analysis and Enhancement of Online Discussions. HHAI 2023: Augmenting Human Intellect (pp 433--435). IOS Press. [BibTeX]  [PDF]
Hafiz Budi Firmansyah,  Jose Luis Fernandez-Marquez,  Jesus Cerquides,  Valerio Lorini,  Carlo Alberto Bono,  & Barbara Pernici (2023). Enhancing Disaster Response with Automated Text Information Extraction from Social Media Images. 2023 IEEE Ninth International Conference on Big Data Computing Service and Applications (BigDataService) (pp. 71--78). [BibTeX]
Georgios Athanasiou,  Josep Lluis Arcos,  & Jesus Cerquides (2023). Enhancing Medical Image Segmentation: Ground Truth Optimization through Evaluating Uncertainty in Expert Annotations. Mathematics, 11. https://doi.org/10.3390/math11173771. [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]
A. Raes,  N. Azari-Dolatabad,  G. Athanasiou,  J.L. Arcos,  J. Cerquides,  G. Opsomer,  K. Smits,  D. Angel-Velez,  & A. {Van Soom} (2023). Measuring cumulus expansion of bovine cumulus-oocyte complexes: comparing the reliability of three methods. Animal - science proceedings, 14, 449-450. https://doi.org/10.1016/j.anscip.2023.03.032. [BibTeX]  [PDF]
Joel Arweiler,  Cihan Ates,  Jesus Cerquides,  Rainer Koch,  & Hans-Jörg Bauer (2023). Similarity-{{Based Framework}}for {{Unsupervised Domain Adaptation}}: {{Peer Reviewing Policy}}for {{Pseudo-Labeling}}. Machine Learning and Knowledge Extraction, 5, 1474--1492. https://doi.org/10.3390/make5040074. [BibTeX]  [PDF]
Hafiz Budi Firmansyah,  Jose Luis {Fernandez-Marquez},  Jesus Cerquides,  & Giovanna Di Marzo Serugendo (2023). Single or Ensemble Model ? {{A}}Study on Social Media Images Classification in Disaster Response. The 10th {{Multidisciplinary International Social Networks Conference}} (pp. 48--54). {Association for Computing Machinery}. https://doi.org/10.1145/3624875.3624884. [BibTeX]  [PDF]
Becky White,  Arnault Gombert,  Tim Nguyen,  Brian Yau,  Atsuyoshi Ishizumi,  Laura Kirchner,  Alicia Leon,  Harry Wilson,  Giovanna Jaramillo-Gutierrez,  Jesus Cerquides,  & others (2023). Using artificial intelligence to inform infodemic insights: The development of the who ears platform. APHA 2023 Annual Meeting and Expo . [BibTeX]
Becky K White,  Arnault Gombert,  Tim Nguyen,  Brian Yau,  Atsuyoshi Ishizumi,  Laura Kirchner,  Alicia León,  Harry Wilson,  Giovanna Jaramillo-Gutierrez,  Jesus Cerquides,  Marcelo D'Agostino,  Cristiana Salvi,  Ravi Shankar Sreenath,  Kimberly Rambaud,  Dalia Samhouri,  Sylvie Briand,  & Tina D Purnat (2023). Using Machine Learning Technology (Early Artificial Intelligence--Supported Response With Social Listening Platform) to Enhance Digital Social Understanding for the COVID-19 Infodemic: Development and Implementation Study. JMIR Infodemiology, 3, e47317. https://doi.org/10.2196/47317. [BibTeX]  [PDF]
Becky K. White,  Arnault Gombert,  Tim Nguyen,  Brian Yau,  Atsuyoshi Ishizumi,  Laura Kirchner,  Alicia León,  Harry Wilson,  Giovanna {Jaramillo-Gutierrez},  Jesus Cerquides,  Marcelo D'Agostino,  Cristiana Salvi,  Ravi Shankar Sreenath,  Kimberly Rambaud,  Dalia Samhouri,  Sylvie Briand,  & Tina D. Purnat (2023). Using {{Machine Learning Technology}}({{Early Artificial Intelligence}}\textendash{{Supported Response With Social Listening Platform}}) to {{Enhance Digital Social Understanding}}for the {{COVID-19 Infodemic}}: {{Development}}and {{Implementation Study}}. JMIR Infodemiology, 3, e47317. https://doi.org/10.2196/47317. [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, 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]
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]