Jesus
Cerquides Bueno
Scientific Researcher
Learning Systems
Research areas:
- Data mining
- Optimisation
- Citizen Science
- Machine Learning
- Probabilistic Graphical Models
- Causal Inference
- Deep Learning
- Probabilistic Learning
- Combinatorial Optimisation
- Natural Language Processing
- Image Segmentation
- Multiagent Systems
- Swarn Computing
- Approximate Reasoning and Soft computing
Impact areas:
- Healthcare
- Smart Cities
- Industry
- Social Networking
- Transport / Automotive
SDGs:
- GOAL 03: Good Health and Well-being
- GOAL 11: Sustainable Cities and Communities
- GOAL 13: Climate Action
- GOAL 09: Industry, Innovation & Infrastructure
- SDGs: General
- GOAL 16: Peace, Justice and Strong Institutions
- GOAL 10: Reduced Inequality
- GOAL 06: Clean Water and Sanitation
2024
Gil-Gonzalez Sergi,
Velasco-Regúlez Borja,
Cerquides Jesus,
Hinarejos Pedro,
Monllau Joan Carles,
& Pelfort Xavier
(2024).
Antibiotic-loaded bone cement is associated with a reduction of the risk of revision of total knee arthroplasty: Analysis of the Catalan Arthroplasty Register.
Knee Surgery, Sports Traumatology, Arthroscopy, n/a.
https://doi.org/10.1002/ksa.12361.
[BibTeX]
[PDF]
David Gómez-Guillén,
Mireia Díaz,
Josep Lluís Arcos,
& Jesus Cerquides
(2024).
Bayesian Optimization with Additive Kernels for a Stepwise Calibration of Simulation Models for Cost-Effectiveness Analysis.
International Journal of Computational Intelligence Systems, 17, 249.
https://doi.org/10.1007/s44196-024-00646-x.
[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]
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]
Pol Rodríguez-Farrés,
Rocco Ballester,
Carlos Ansótegui,
Jordi Levy,
& Jesus Cerquides
(2024).
Implementing 3-SAT Gadgets for Quantum Annealers with Random Instances.
Leonardo Franco, Clélia Mulatier, Maciej Paszynski, Valeria V. Krzhizhanovskaya, Jack J. Dongarra, & Peter M. A. Sloot (Eds.),
Computational Science -- ICCS 2024
(pp. 277--291).
Springer Nature Switzerland.
[BibTeX]
[PDF]
Annelies Raes,
Georgios Athanasiou,
Nima Azari-Dolatabad,
Hafez Sadeghi,
Sebastian Gonzalez Andueza,
Josep Lluis Arcos,
Jesus Cerquides,
Krishna Chaitanya Pavani,
Geert Opsomer,
Osvaldo Bogado Pascottini,
Katrien Smits,
Daniel Angel-Velez,
& Ann Van Soom
(2024).
Manual versus deep learning measurements to evaluate cumulus expansion of bovine oocytes and its relationship with embryo development in vitro.
Computers in Biology and Medicine, 168, 107785.
https://doi.org/10.1016/j.compbiomed.2023.107785.
[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]
David Gómez-Guillén,
Mireia Díaz,
Josep Lluis Arcos,
& Jesus Cerquides
(2023).
Bayesian Optimization with Additive Kernels for the Calibration of Simulation Models to Perform Cost-Effectiveness Analysis.
Artificial Intelligence Research and Development (pp 143--152).
IOS Press.
https://doi.org/10.3233/FAIA230677.
[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]
Bjoern Komander,
Jesus Cerquides,
Jaume Piera,
Jeffrey Chan,
& Azadeh Alavi
(2023).
Expert Finding for Citizen Science.
Artificial Intelligence Research and Development (pp 59--69).
IOS Press.
https://doi.org/10.3233/FAIA230659.
[BibTeX]
[PDF]
Borja Velasco-Regulez,
& Jesus Cerquides
(2023).
Hydranet: A Neural Network for the Estimation of Multi-Valued Treatment Effects.
Artificial Intelligence Research and Development (pp 16--27).
IOS Press.
https://doi.org/10.3233/FAIA230655.
[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]
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