Josep Lluís
Arcos
Scientific Researcher
Project Coach (Management Team)
Learning Systems
Research areas:
- Optimisation
- Causal Inference
- Machine Learning
- Deep Learning
- Combinatorial Optimisation
- Image Segmentation
- Probabilistic Graphical Models
- Time Series Analysis
- Case-Based Reasoning
- Virtual reality
Impact areas:
- Healthcare
- Cultural Heritage
SDGs:
- GOAL 03: Good Health and Well-being
- GOAL 11: Sustainable Cities and Communities
2024
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]
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]
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
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]
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]
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]
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]
2022
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-Regulez,
Jose L. Fernandez-Marquez,
Nerea Luqui,
Jesus Cerquides,
Josep Analia Fukelman,
& Josep Perelló
(2022).
Is the phase of the menstrual cycle relevant when getting the covid-19 vaccine?.
American Journal of Obstetrics and Gynecology, 227, 913-915.
https://doi.org/10.1016/j.ajog.2022.07.052.
[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
Emma Segura,
Jennifer Grau-Sánchez,
David Sanchez-Pinsach,
Myriam De-la-Cruz,
Esther Duarte,
Josep Lluis Arcos,
& Antoni Rodríguez-Fornells
(2021).
Designing an app for home-based enriched Music-supported Therapy in the rehabilitation of patients with chronic stroke: a pilot feasibility study.
Brain Injury, 35, 1585-1597.
https://doi.org/10.1080/02699052.2021.1975819.
[BibTeX]
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]
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]
Emma Segura,
Jennifer Grau-Sánchez,
David Sanchez-Pinsach,
Esther Duarte,
Josep Lluis Arcos,
& Antoni Rodríguez-Fornells
(2021).
Enriched music-supported therapy in the improvement of motor function and quality of life of chronic stroke patients: a pilot study.
NeuroMusic VII
.
[BibTeX]
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]
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]
2020
Oguz Mulayim
(2020).
Anytime Lazy kNN (ALK): A fast anytime kNN search algorithm.
https://doi.org/10.5281/zenodo.4472641.
[BibTeX]
Oguz Mulayim,
& Josep Lluis Arcos
(2020).
Fast anytime retrieval with confidence in large-scale temporal case bases.
Knowledge-Based Systems, 206, 106374.
https://doi.org/10.1016/j.knosys.2020.106374.
[BibTeX]
[PDF]
Anna Puig,
Inmaculada Rodríguez,
Josep Ll Arcos,
Juan A. Rodríguez-Aguilar,
Sergi Cebrián,
Anton Bogdanovych,
Núria Morera,
Antoni Palomo,
& Raquel Piqué
(2020).
Lessons learned from supplementing archaeological museum exhibitions with virtual reality.
Virtual Reality, 24, 343--358.
[BibTeX]
[PDF]
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