Publications
Journal articles, conference papers, book chapters, and preprints (1996–2025). External profiles: 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 Journal
Offline reinforcement learning for job-shop scheduling problems
Applied Soft Computing, 113736 Journal
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 Journal
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 Journal
DNkS: A distance-based neighborhood k-search algorithm for determining meter–transformer connectivity in low-voltage grids
Sustainable Energy, Grids and Networks, 42, 101707 Journal
Domain Adaptation-enhanced searchlight: enabling classification of brain states from visual perception to mental imagery
Brain Informatics, 12(1), 1–17 Journal
Neuroeboluzio Informazioaren Ustiapena: Iragana Aztertu Etorkizun Eraginkor Baterako
IkerGazte. Nazioarteko ikerketa euskaraz, 3, 85–92 Journal
Benchmarking MOEAs for solving continuous multi-objective RL problems
Proceedings of the GECCO 2025 Companion, 415–418 Conference
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 Conference
Redes Neurais na Identificação de Transições de Fase
VETOR – Revista de Ciências Exatas e Engenharias, 35(1) Journal
PINN Balls: Scaling Second-Order Methods for PINNs with Domain Decomposition and Adaptive Sampling
arXiv preprint arXiv:2510.21262 Preprint
DecNefLab: A Modular and Interpretable Simulation Framework for Decoded Neurofeedback
arXiv preprint arXiv:2511.14555 Preprint
2024
Learning the Graph Structure of Regular Vine-Copulas from Dependence Lists
ACM Transactions on Evolutionary Learning, 4(4), 1–22 Journal
On the generalization of PINNs outside the training domain and the hyperparameters influencing it
Neural Computing and Applications, 36(36), 22677–22696 Journal
Proposal for an intelligent methodology to manage energy in buildings and detect anomalies as a compass towards ZEB
Applied Sciences, 14(23), 10918 Journal
On Bi-objective Combinatorial Optimization with Heterogeneous Objectives
European Journal of Operational Research, 319(1), 89–101 Journal
Computational Tools for neuronal morphometric analysis: A Systematic Search and review
Neuroinformatics, 22, 353–377 Journal
Filter method-based feature selection process for unattributed-identity multi-target regression problem
Expert Systems with Applications, 246, 123245 Journal
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 Journal
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 Conference
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 Conference
Factorized Models in Neural Architecture Search: Impact on Computational Costs and Performance
IJCNN-2024, Yokohama, Japan Conference
Multi-Assignment Scheduler: A New Behavioral Cloning Method for the Job-Shop Scheduling Problem
18th Learning and Intelligent Optimization Conference (LION-2024), Ischia, Italy Conference
Stacking LLM Models' Predictions for Feature Selection in Anomaly Classification
10th IEEE International Conference on Sustainable Technology and Engineering (i-COSTE 2024), Perth, Australia Conference
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 Conference
ENIA Chair in Artificial Intelligence and Language Technology
SEPLN-CEDI2024, Valladolid, Spain Conference
Identifying Phase Transitions in Physical Systems with Neural Networks: A Neural Architecture Search Perspective
IEEE Cybermatics (SmartData Workshops) 2024 Conference
Uncertainty-Aware Explanations Through Probabilistic Self-Explainable Neural Networks
arXiv preprint arXiv:2403.13740 Preprint
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 Journal
Introducing Multi-dimensional Hierarchical Classification: Characterization, solving strategies and performance measures
Neurocomputing, 533, 141–160 Journal
Random vector functional link forests and extreme learning forests applied to UAV automatic target recognition
Engineering Applications of Artificial Intelligence, 117, 105538 Journal
Extending Adversarial Attacks to Produce Adversarial Class Probability Distributions
Journal of Machine Learning Research, 24, 1–42 Journal
EML for Unsupervised Learning [Book chapter]
Handbook of Evolutionary Machine Learning, Springer (Banzhaf, Machado, Zhang, Eds.) Book chapter
Other Search-Based Optimization Approaches [Book chapter]
Introduction to Computational Intelligence: An IEEE CIS Open Book, IEEE, 73–83 Book chapter
Evolved Neural Networks for Building Energy Prediction
IEEE SSCI 2023, Mexico DF, Mexico, 801–806 Conference
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 Conference
Neuroevolutionary Algorithms Driven by Neuron Coverage Metrics for Semi-Supervised Classification
GECCO 2023, Lisbon, Portugal Conference
2022
Multi-objective NK landscapes with heterogeneous objectives
Proceedings of the Genetic and Evolutionary Computation Conference, 502--510 Conference
A grammar-based GP approach applied to the design of deep neural networks
Genetic Programming and Evolvable Machines, 1--26 Journal
Informative neural representations of unseen contents during higher-order processing in human brains and deep artificial networks
Nature Human Behaviour, 6, 720--731 Journal
Solving the multi-objective Hamiltonian cycle problem using a Branch-and-Fix based algorithm
Journal of Computational Science, 60, 101578 Journal
Boomerang-shaped neural embeddings for NK landscapes
Proceedings of the Genetic and Evolutionary Computation Conference, 858--866 Conference
An embedding space for SARS-CoV-2 epitope-based vaccines
European Journal of Clinical Investigation, 52 Conference
Evolutionary approaches with adaptive operators for the bi-objective TTP problem
2022 IEEE Symposium Series on Computational Intelligence (IEEE SSCI), 1-8 Conference
On the human evaluation of universal audio adversarial perturbations
Computers & Security, 112, 102495 Journal
Analysis of dominant classes in universal adversarial perturbations
Knowledge-Based Systems, 236, 107719 Journal
2021
Unified Framework for the Analysis of the Effect of Control Policies on Automatic Voltage Regulators
TechRxiv, 15022611 Preprint
Towards automatic construction of multi-network models for heterogeneous multi-task learning
ACM Transactions on Knowledge Discovery from Data (TKDD), 15, 1--23 Journal
Redefining Neural Architecture Search of Heterogeneous Multi-Network Models by Characterizing Variation Operators and Model Components
CoRR, abs/2106.08972 Preprint
On the Exploitation of Neuroevolutionary Information: Analyzing the Past for a More Efficient Future
CoRR, abs/2105.12836 Preprint
Adversarial Perturbations for Evolutionary Optimization
International Conference on Machine Learning, Optimization, and Data Science (LOD-2021), 13164, 408--422 Conference
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 Journal
Estimation of distribution algorithms for the computation of innovation estimators of diffusion processes
Mathematics and Computers in Simulation, 187, 449--467 Journal
Automatic Design of Deep Neural Networks Applied to Image Segmentation Problems
Genetic Programming: 24th European Conference, EuroGP 2021, Held as Part of EvoStar 2021, Virtual Event, April 7--9, 2021, Proceedings, 98-112 Conference
Analysis of Bayesian Network Learning Techniques for a Hybrid Multi-objective Bayesian Estimation of Distribution Algorithm: a case study on MNK Landscape
Journal of Heuristics, 27, 549--573 Journal
Informative neural representations of unseen objects during higher-order processing in human brains and deep artificial networks
bioRxiv Preprint
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 Journal
The EMPATHIC Virtual Coach: a demo
Proceedings of the 2021 International Conference on Multimodal Interaction, 848--851 Conference
Evolution of Gaussian Process kernels for machine translation post-editing effort estimation
Annals of Mathematics and Artificial Intelligence, 89, 835--856 Journal
Semantic Composition of Word-Embeddings with Genetic Programming
Heuristics for Optimization and Learning, 409--423 Conference
When and How to Fool Explainable Models (and Humans) with Adversarial Examples
CoRR, abs/2107.01943 Preprint
2020
EvoFlow: A Python library for evolving deep neural network architectures in tensorflow
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence (SSCI-2020), 2288--2295 Conference
Analysis of the transferability and robustness of GANs evolved for Pareto set approximations
Neural Networks, 132, 281--296 Journal
Envisioning the Benefits of Back-Drive in Evolutionary Algorithms
2020 IEEE Congress on Evolutionary Computation (CEC), 1--8 Conference
Automatic Structural Search for Multi-task Learning VALPs
International Conference on Optimization and Learning, 25--36 Conference
Investigating RNNs for vehicle volume forecasting in service stations
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence (SSCI-2020), 2625--2632 Conference
A symmetric grammar approach for designing segmentation models
2020 IEEE Congress on Evolutionary Computation (CEC), 1--8 Conference
Transfer learning in hierarchical dialogue topic classification with neural networks
Proceedings of the 2020 International Joint Conference on Neural Networks (IJCNN-2020), 1--8 Conference
Tool-Path Problem in Direct Energy Deposition Metal-Additive Manufacturing: Sequence Strategy Generation
IEEE Access, 8, 91574-91585 Journal
Adaptation of a Branching Algorithm to Solve the Multi-Objective Hamiltonian Cycle Problem
Operations Research Proceedings 2019, 231--237 Conference
In-depth analysis of SVM kernel learning and its components
Neural Computing and Applications, 1--20 Journal
Dynamic programming operators for bi-objective TTP problem
2020 IEEE Congress on Evolutionary Computation (CEC), 1-8 Conference
Evaluation of the Temperature and Time in Centrifugation-Assisted Freeze Concentration
Applied Sciences, 10, 9130 Journal
A new hesitant fuzzy TOPSIS approach in multi-attribute group decision making
Bulletin of the Georgian National Academy of Sciences, 14, 17--22 Journal
Decoding and encoding models reveal the role of mental simulation in the brain representation of meaning
Royal Society open science, 7, 192043 Journal
Analysis of Dominant Classes in Universal Adversarial Perturbations
CoRR, abs/2012.14352 Preprint
Extending Adversarial Attacks to Produce Adversarial Class Probability Distributions
CoRR, abs/2004.06383 Preprint
Exploring Gaps in DeepFool in Search of More Effective Adversarial Perturbations
Proceedings of the Sixth International Conference on Machine Learning, Optimization, and Data Science (LOD-2020), 12566, 215--227 Conference
2019
Detection of sand dunes on Mars using a regular vine-based classification approach
Knowledge Based Systems, 163, 858--874 Journal
Towards automatic construction of multi-network models for heterogeneous multi-task learning
CoRR, abs/1903.09171 Preprint
Automatic design of convolutional neural networks using grammatical evolution
2019 8th Brazilian Conference on Intelligent Systems (BRACIS), 329--334 Conference
An empirical comparison of distance/similarity measures for Natural Language Processing
Anais do XVI Encontro Nacional de Inteligência Artificial e Computacional, 717--728 Conference
How the brain encodes meaning: Comparing word embedding and computer vision models to predict fMRI data during visual word recognition
Proceedings of the 2019 Conference on Cognitive Computational Neuroscience, 863--866 Conference
A Dialogue-Act Taxonomy for a Virtual Coach Designed to Improve the Life of Elderly
Multimodal Technologies and Interaction, 3, 52 Journal
Data generation approaches for topic classification in multilingual spoken dialog system
Proceedings of the 12th Conference on PErvasive Technologies Related to Assistive Environments Conference (PETRA-19), 211-217 Conference
Sentiment analysis with genetically evolved Gaussian kernels
Proceedings of the 2019 on Genetic and Evolutionary Computation Conference, 1328--1336 Conference
Evolving Gaussian Process kernels for translation editing effort estimation
Proceedings of the Learning and Intelligent Optimization Conference (LION), 304--318 Conference
Bayesian Optimization Approaches for Massively Multi-modal Problems
International Conference on Learning and Intelligent Optimization (LION), 383--397 Conference
An Experimental Study in Adaptive Kernel Selection for Bayesian Optimization
IEEE Access, 7, 184302--184394 Journal
GP-based methods for domain adaptation: Using brain decoding across subjects as a test-case
Genetic Programming and Evolvable Machines, 20, 385--411 Journal
The EMPATHIC Project: Mid-term Achievements
Proceedings of the 12th Conference on PErvasive Technologies Related to Assistive Environments Conference (PETRA-19), 629-638 Conference
2018
The Relationship Between Graphical Representations of Regular Vine Copulas and Polytrees
Proceedings of the 17th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU-2018), 678--690 Conference
Modeling dependencies between decision variables and objectives with copula models
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 175--176 Conference
Evolved GANs for generating Pareto set approximations
Proceedings of the 2018 on Genetic and Evolutionary Computation Conference, 434--441 Conference
Expanding variational autoencoders for learning and exploiting latent representations in search distributions
Proceedings of the 2018 on Genetic and Evolutionary Computation Conference, 849--856 Conference
Analysis of the complexity of the automatic pipeline generation problem
IEEE Congress on Evolutionary Computation (CEC-2018), 1--8 Conference
Towards a more efficient representation of imputation operators in TPOT
CoRR, abs/1801.04407 Preprint
Algorithm 989: perm_mateda: A Matlab Toolbox of Estimation of Distribution Algorithms for Permutation-based Combinatorial Optimization Problems
ACM Transactions on Mathematical Software (TOMS), 44, 47 Journal
Evolutionary Multi-Objective System Design: Theory and Applications. Computer and Information Science Series
119--151 Journal
Hybrid multi-objective Bayesian estimation of distribution algorithm: a comparative analysis for the multi-objective knapsack problem
Journal of Heuristics, 24, 25-47 Journal
Exploring the probabilistic graphic model of a hybrid multi-objective Bayesian estimation of distribution algorithm
Applied Soft Computing, 73, 328-343 Journal
On the performance of multi-objective estimation of distribution algorithms for combinatorial problems
IEEE Congress on Evolutionary Computation (CEC-2018), 1--8 Conference
Feature extraction based prediction of tool wear of Inconel 718 in face turning
Insight. Non-Destructive Testing and Condition Monitoring, 60, 1--8 Journal
An investigation of the selection strategies impact on MOEDAs: CMA-ES and UMDA
Applied Soft Computing, 62, 963--973 Journal