Publications
Articles de revues, communications de conférences, chapitres de livres et prépublications (1996–2025). Profils externes : Google Scholar • ORCID • ResearchGate
2025
Leveraging constraint programming in a deep learning approach for dynamically solving the flexible job-shop scheduling problem
Expert Systems with Applications, 265, 125895 Revue
Offline reinforcement learning for job-shop scheduling problems
Applied Soft Computing, 113736 Revue
Diverse policy generation for the flexible job-shop scheduling problem via deep reinforcement learning with a novel graph representation
Engineering Applications of Artificial Intelligence, 139, 109488 Revue
Adversarial attacks in explainable machine learning: A survey of threats against models and humans
Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, 15(1), e1567 Revue
DNkS: A distance-based neighborhood k-search algorithm for determining meter–transformer connectivity in low-voltage grids
Sustainable Energy, Grids and Networks, 42, 101707 Revue
Domain Adaptation-enhanced searchlight: enabling classification of brain states from visual perception to mental imagery
Brain Informatics, 12(1), 1–17 Revue
Neuroeboluzio Informazioaren Ustiapena: Iragana Aztertu Etorkizun Eraginkor Baterako
IkerGazte. Nazioarteko ikerketa euskaraz, 3, 85–92 Revue
Benchmarking MOEAs for solving continuous multi-objective RL problems
Proceedings of the GECCO 2025 Companion, 415–418 Conférence
Identifying Phase Transitions in the Classical Ising Model with Neural Networks: A Neural Architecture Search Perspective
Pattern Recognition and Artificial Intelligence (MedPRAI24), Springer, 741–756 Conférence
Redes Neurais na Identificação de Transições de Fase
VETOR – Revista de Ciências Exatas e Engenharias, 35(1) Revue
PINN Balls: Scaling Second-Order Methods for PINNs with Domain Decomposition and Adaptive Sampling
arXiv preprint arXiv:2510.21262 Prépublication
DecNefLab: A Modular and Interpretable Simulation Framework for Decoded Neurofeedback
arXiv preprint arXiv:2511.14555 Prépublication
2024
Learning the Graph Structure of Regular Vine-Copulas from Dependence Lists
ACM Transactions on Evolutionary Learning, 4(4), 1–22 Revue
On the generalization of PINNs outside the training domain and the hyperparameters influencing it
Neural Computing and Applications, 36(36), 22677–22696 Revue
Proposal for an intelligent methodology to manage energy in buildings and detect anomalies as a compass towards ZEB
Applied Sciences, 14(23), 10918 Revue
On Bi-objective Combinatorial Optimization with Heterogeneous Objectives
European Journal of Operational Research, 319(1), 89–101 Revue
Computational Tools for neuronal morphometric analysis: A Systematic Search and review
Neuroinformatics, 22, 353–377 Revue
Filter method-based feature selection process for unattributed-identity multi-target regression problem
Expert Systems with Applications, 246, 123245 Revue
Unified Framework for the Analysis of the Effect of Control Strategies on On-Load Tap-Changer's Automatic Voltage Controller
IEEE Transactions on Automation Science and Engineering, 21(1), 1539–1548 Revue
Fault Classification from Multivariate Time Series in Fan Coil Units: The Impact of the Temporal Component
4th International Conference on Smart City and Green Energy (ICSCGE 2024), Sydney, Australia Conférence
Continuous estimation of distribution algorithms for the parametric optimization of geothermal power plants
7th International Conference on Computational Intelligence and Intelligent Systems (CIIS 2024), Nagoya, Japan Conférence
Factorized Models in Neural Architecture Search: Impact on Computational Costs and Performance
IJCNN-2024, Yokohama, Japan Conférence
Multi-Assignment Scheduler: A New Behavioral Cloning Method for the Job-Shop Scheduling Problem
18th Learning and Intelligent Optimization Conference (LION-2024), Ischia, Italy Conférence
Stacking LLM Models' Predictions for Feature Selection in Anomaly Classification
10th IEEE International Conference on Sustainable Technology and Engineering (i-COSTE 2024), Perth, Australia Conférence
Enhancing accuracy and explainability in anomaly classification with large language models
1st International Workshop on Causality, Agents and Large Models (CALM-2024), Kyoto, Japan. Springer CCIS Conférence
ENIA Chair in Artificial Intelligence and Language Technology
SEPLN-CEDI2024, Valladolid, Spain Conférence
Identifying Phase Transitions in Physical Systems with Neural Networks: A Neural Architecture Search Perspective
IEEE Cybermatics (SmartData Workshops) 2024 Conférence
Uncertainty-Aware Explanations Through Probabilistic Self-Explainable Neural Networks
arXiv preprint arXiv:2403.13740 Prépublication
2023
Redefining Neural Architecture Search of Heterogeneous Multi-Network Models by Characterizing Variation Operators and Model Components
IEEE Transactions on Neural Networks and Learning Systems Revue
Introducing Multi-dimensional Hierarchical Classification: Characterization, solving strategies and performance measures
Neurocomputing, 533, 141–160 Revue
Random vector functional link forests and extreme learning forests applied to UAV automatic target recognition
Engineering Applications of Artificial Intelligence, 117, 105538 Revue
Extending Adversarial Attacks to Produce Adversarial Class Probability Distributions
Journal of Machine Learning Research, 24, 1–42 Revue
EML for Unsupervised Learning [Chapitre de livre]
Handbook of Evolutionary Machine Learning, Springer (Banzhaf, Machado, Zhang, Eds.) Chapitre de livre
Other Search-Based Optimization Approaches [Chapitre de livre]
Introduction to Computational Intelligence: An IEEE CIS Open Book, IEEE, 73–83 Chapitre de livre
Evolved Neural Networks for Building Energy Prediction
IEEE SSCI 2023, Mexico DF, Mexico, 801–806 Conférence
The Impact of Imputation Methods on the Classification of Household Devices from Electricity Usage Time Series
10th International Conference on Social Networks Analysis, Management and Security (SNAMS 2023), Abu Dhabi Conférence
Neuroevolutionary Algorithms Driven by Neuron Coverage Metrics for Semi-Supervised Classification
GECCO 2023, Lisbon, Portugal Conférence
2022
Multi-objective NK landscapes with heterogeneous objectives
Proceedings of the Genetic and Evolutionary Computation Conference, 502--510 Conférence
A grammar-based GP approach applied to the design of deep neural networks
Genetic Programming and Evolvable Machines, 1--26 Revue
Informative neural representations of unseen contents during higher-order processing in human brains and deep artificial networks
Nature Human Behaviour, 6, 720--731 Revue
Solving the multi-objective Hamiltonian cycle problem using a Branch-and-Fix based algorithm
Journal of Computational Science, 60, 101578 Revue
Boomerang-shaped neural embeddings for NK landscapes
Proceedings of the Genetic and Evolutionary Computation Conference, 858--866 Conférence
An embedding space for SARS-CoV-2 epitope-based vaccines
European Journal of Clinical Investigation, 52 Conférence
Evolutionary approaches with adaptive operators for the bi-objective TTP problem
2022 IEEE Symposium Series on Computational Intelligence (IEEE SSCI), 1-8 Conférence
On the human evaluation of universal audio adversarial perturbations
Computers & Security, 112, 102495 Revue
Analysis of dominant classes in universal adversarial perturbations
Knowledge-Based Systems, 236, 107719 Revue
2021
Unified Framework for the Analysis of the Effect of Control Policies on Automatic Voltage Regulators
TechRxiv, 15022611 Prépublication
Towards automatic construction of multi-network models for heterogeneous multi-task learning
ACM Transactions on Knowledge Discovery from Data (TKDD), 15, 1--23 Revue
Redefining Neural Architecture Search of Heterogeneous Multi-Network Models by Characterizing Variation Operators and Model Components
CoRR, abs/2106.08972 Prépublication
On the Exploitation of Neuroevolutionary Information: Analyzing the Past for a More Efficient Future
CoRR, abs/2105.12836 Prépublication
Adversarial Perturbations for Evolutionary Optimization
International Conference on Machine Learning, Optimization, and Data Science (LOD-2021), 13164, 408--422 Conférence
Award Price Estimator for Public Procurement Auctions Using Machine Learning Algorithms: Case Study with Tenders from Spain
Studies in Informatics and Control, 30, 67--76 Revue
Estimation of distribution algorithms for the computation of innovation estimators of diffusion processes
Mathematics and Computers in Simulation, 187, 449--467 Revue
Automatic design of deep neural networks applied to image segmentation problems
Genetic Programming: EuroGP 2021, 98-112 Conférence
Analysis of Bayesian Network Learning Techniques for a Hybrid Multi-objective Bayesian Estimation of Distribution Algorithm
Journal of Heuristics, 27, 549--573 Revue
Informative neural representations of unseen objects during higher-order processing in human brains and deep artificial networks
bioRxiv Prépublication
Analysis of the sensitivity of the End-Of-Turn Detection task to errors generated by the Automatic Speech Recognition process
Engineering Applications of Artificial Intelligence, 100, 104189 Revue
Evolution of Gaussian Process kernels for machine translation post-editing effort estimation
Annals of Mathematics and Artificial Intelligence, 89, 835--856 Revue
Semantic Composition of Word-Embeddings with Genetic Programming
Heuristics for Optimization and Learning, 409--423 Conférence
When and How to Fool Explainable Models (and Humans) with Adversarial Examples
CoRR, abs/2107.01943 Prépublication
2020
EvoFlow: A Python library for evolving deep neural network architectures in tensorflow
IEEE SSCI-2020, 2288--2295 Conférence
Analysis of the transferability and robustness of GANs evolved for Pareto set approximations
Neural Networks, 132, 281--296 Revue
Envisioning the Benefits of Back-Drive in Evolutionary Algorithms
IEEE CEC 2020, 1--8 Conférence
Investigating RNNs for vehicle volume forecasting in service stations
IEEE SSCI-2020, 2625--2632 Conférence
Transfer learning in hierarchical dialogue topic classification with neural networks
IJCNN-2020, 1--8 Conférence
Tool-Path Problem in Direct Energy Deposition Metal-Additive Manufacturing: Sequence Strategy Generation
IEEE Access, 8, 91574-91585 Revue
Adaptation of a Branching Algorithm to Solve the Multi-Objective Hamiltonian Cycle Problem
Operations Research Proceedings 2019, 231--237 Conférence
In-depth analysis of SVM kernel learning and its components
Neural Computing and Applications, 1--20 Revue
Evaluation of the Temperature and Time in Centrifugation-Assisted Freeze Concentration
Applied Sciences, 10, 9130 Revue
A new hesitant fuzzy TOPSIS approach in multi-attribute group decision making
Bulletin of the Georgian National Academy of Sciences, 14, 17--22 Revue
Decoding and encoding models reveal the role of mental simulation in the brain representation of meaning
Royal Society open science, 7, 192043 Revue
Analysis of Dominant Classes in Universal Adversarial Perturbations
CoRR, abs/2012.14352 Prépublication
Extending Adversarial Attacks to Produce Adversarial Class Probability Distributions
CoRR, abs/2004.06383 Prépublication
Exploring Gaps in DeepFool in Search of More Effective Adversarial Perturbations
LOD-2020, 12566, 215--227 Conférence
2019
Detection of sand dunes on Mars using a regular vine-based classification approach
Knowledge Based Systems, 163, 858--874 Revue
Towards automatic construction of multi-network models for heterogeneous multi-task learning
CoRR, abs/1903.09171 Prépublication
Automatic design of convolutional neural networks using grammatical evolution
BRACIS 2019, 329--334 Conférence
An empirical comparison of distance/similarity measures for Natural Language Processing
ENIAC 2019, 717--728 Conférence
How the brain encodes meaning: Comparing word embedding and computer vision models to predict fMRI data during visual word recognition
CCN 2019, 863--866 Conférence
A Dialogue-Act Taxonomy for a Virtual Coach Designed to Improve the Life of Elderly
Multimodal Technologies and Interaction, 3, 52 Revue
Data generation approaches for topic classification in multilingual spoken dialog system
PETRA-19, 211-217 Conférence
Evolving Gaussian Process kernels for translation editing effort estimation
LION 13, 304--318 Conférence
Bayesian Optimization Approaches for Massively Multi-modal Problems
LION 13, 383--397 Conférence
An Experimental Study in Adaptive Kernel Selection for Bayesian Optimization
IEEE Access, 7, 184302--184394 Revue
GP-based methods for domain adaptation: Using brain decoding across subjects as a test-case
Genetic Programming and Evolvable Machines, 20, 385--411 Revue
Universal Adversarial Examples in Speech Command Classification
CoRR, abs/1911.10182 Prépublication
2018
The Relationship Between Graphical Representations of Regular Vine Copulas and Polytrees
IPMU-2018, 678--690 Conférence
Modeling dependencies between decision variables and objectives with copula models
GECCO Companion 2018, 175--176 Conférence
Expanding variational autoencoders for learning and exploiting latent representations in search distributions
GECCO 2018, 849--856 Conférence
Analysis of the complexity of the automatic pipeline generation problem
IEEE CEC-2018, 1--8 Conférence
Towards a more efficient representation of imputation operators in TPOT
CoRR, abs/1801.04407 Prépublication
Algorithm 989: perm_mateda: A Matlab Toolbox of Estimation of Distribution Algorithms for Permutation-based Combinatorial Optimization Problems
ACM TOMS, 44, 47 Revue
Hybrid multi-objective Bayesian estimation of distribution algorithm: a comparative analysis for the multi-objective knapsack problem
Journal of Heuristics, 24, 25-47 Revue
Exploring the probabilistic graphic model of a hybrid multi-objective Bayesian estimation of distribution algorithm
Applied Soft Computing, 73, 328-343 Revue
On the performance of multi-objective estimation of distribution algorithms for combinatorial problems
IEEE CEC-2018, 1--8 Conférence
Feature extraction based prediction of tool wear of Inconel 718 in face turning
Insight, 60, 1--8 Revue
An investigation of the selection strategies impact on MOEDAs: CMA-ES and UMDA
Applied Soft Computing, 62, 963--973 Revue