Too busy to learn [individual learning interaction with evolutionary algorithm in Busy Beaver problem]. - Francisco Baptista Pereira; Penousal Machado; Ernesto Costa; Amílcar Cardoso; Alberto Ochoa-Rodríguez; Roberto Santana 001; Marta Soto (CEC, 2000)

Probabilistic Evolution and the Busy Beaver Problem. - Roberto Santana 001; Alberto Ochoa-Rodríguez; Marta Soto; Francisco Baptista Pereira; Penousal Machado; Ernesto Costa; Amílcar Cardoso (GECCO, 2000)

On the use of Factorized Distribution Algorithms for problems defined on graphs. - Roberto Santana 001; Carlos Alberto Ochoa Ortíz Zezzatti; Marta Soto (Electron. Notes Discret. Math., 2001)

Blocked stochastic sampling versus Estimation of Distribution Algorithms. - Roberto Santana 001; Heinz Mühlenbein (IEEE Congress on Evolutionary Computation, 2002)

A Markov Network Based Factorized Distribution Algorithm for Optimization. - Roberto Santana 001 (ECML, 2003)

Protein Folding in 2-Dimensional Lattices with Estimation of Distribution Algorithms. - Roberto Santana 001; Pedro Larrañaga; José Antonio Lozano 001 (ISBMDA, 2004)

Interactions and dependencies in estimation of distribution algorithms. - Roberto Santana 001; Pedro Larrañaga; José Antonio Lozano 001 (Congress on Evolutionary Computation, 2005)

Estimation of Distribution Algorithms with Kikuchi Approximations. - Roberto Santana 001 (Evol. Comput., 2005)

Mixtures of Kikuchi Approximations. - Roberto Santana 001; Pedro Larrañaga; José Antonio Lozano 001 (ECML, 2006)

Machine learning in bioinformatics. - Pedro Larrañaga; Borja Calvo; Roberto Santana 001; Concha Bielza; Josu Galdiano; Iñaki Inza; José Antonio Lozano 001; Rubén Armañanzas; Guzmán Santafé; Aritz Pérez Martínez; Victor Robles (Briefings Bioinform., 2006)

Exact Bayesian network learning in estimation of distribution algorithms. - Carlos Echegoyen; José Antonio Lozano 001; Roberto Santana 001; Pedro Larrañaga (IEEE Congress on Evolutionary Computation, 2007)

The Role of a Priori Information in the Minimization of Contact Potentials by Means of Estimation of Distribution Algorithms. - Roberto Santana 001; Pedro Larrañaga; José Antonio Lozano 001 (EvoBIO, 2007)

A parallel framework for loopy belief propagation. - Alexander Mendiburu; Roberto Santana 001; José Antonio Lozano 001; Endika Bengoetxea (GECCO (Companion), 2007)

Side chain placement using estimation of distribution algorithms. - Roberto Santana 001; Pedro Larrañaga; José Antonio Lozano 001 (Artif. Intell. Medicine, 2007)

Component weighting functions for adaptive search with EDAs. - Roberto Santana 001; Pedro Larrañaga; José Antonio Lozano 001 (IEEE Congress on Evolutionary Computation, 2008)

An EDA based on local markov property and gibbs sampling. - Siddhartha Shakya; Roberto Santana 001 (GECCO, 2008)

Adding Probabilistic Dependencies to the Search of Protein Side Chain Configurations Using EDAs. - Roberto Santana 001; Pedro Larrañaga; José Antonio Lozano 001 (PPSN, 2008)

A review of estimation of distribution algorithms in bioinformatics. - Rubén Armañanzas; Iñaki Inza; Roberto Santana 001; Yvan Saeys; Jose Luis Flores 001; José Antonio Lozano 001; Yves Van de Peer; Rosa Blanco; Víctor Robles; Concha Bielza; Pedro Larrañaga (BioData Min., 2008)

Combining variable neighborhood search and estimation of distribution algorithms in the protein side chain placement problem. - Roberto Santana 001; Pedro Larrañaga; José Antonio Lozano 001 (J. Heuristics, 2008)

Protein Folding in Simplified Models With Estimation of Distribution Algorithms. - Roberto Santana 001; Pedro Larrañaga; José Antonio Lozano 001 (IEEE Trans. Evol. Comput., 2008)

The Impact of Exact Probabilistic Learning Algorithms in EDAs Based on Bayesian Networks. - Carlos Echegoyen; Roberto Santana 001; José Antonio Lozano 001; Pedro Larrañaga (Linkage in Evolutionary Computation, 2008)

Adaptive Estimation of Distribution Algorithms. - Roberto Santana 001; Pedro Larrañaga; José Antonio Lozano 001 (Adaptive and Multilevel Metaheuristics, 2008)

Analyzing the probability of the optimum in EDAs based on Bayesian networks. - Carlos Echegoyen; Alexander Mendiburu; Roberto Santana 001; José Antonio Lozano 001 (IEEE Congress on Evolutionary Computation, 2009)

Mining probabilistic models learned by EDAs in the optimization of multi-objective problems. - Roberto Santana 001; Concha Bielza; José Antonio Lozano 001; Pedro Larrañaga (GECCO, 2009)

Research topics in discrete estimation of distribution algorithms based on factorizations. - Roberto Santana 001; Pedro Larrañaga; José Antonio Lozano 001 (Memetic Comput., 2009)

Bivariate empirical and n-variate Archimedean copulas in estimation of distribution algorithms. - Alfredo Cuesta-Infante; Roberto Santana 001; José Ignacio Hidalgo; Concha Bielza; Pedro Larrañaga (IEEE Congress on Evolutionary Computation, 2010)

Estimation of Bayesian networks algorithms in a class of complex networks. - Carlos Echegoyen; Alexander Mendiburu; Roberto Santana 001; José Antonio Lozano 001 (IEEE Congress on Evolutionary Computation, 2010)

Using Probabilistic Dependencies Improves the Search of Conductance-Based Compartmental Neuron Models. - Roberto Santana 001; Concha Bielza; Pedro Larrañaga (EvoBIO, 2010)

Synergies between Network-Based Representation and Probabilistic Graphical Models for Classification, Inference and Optimization Problems in Neuroscience. - Roberto Santana 001; Concha Bielza; Pedro Larrañaga (IEA/AIE (3), 2010)

Multi-marker tagging single nucleotide polymorphism selection using estimation of distribution algorithms. - Roberto Santana 001; Alexander Mendiburu; Noah Zaitlen; Eleazar Eskin; José Antonio Lozano 001 (Artif. Intell. Medicine, 2010)

Learning Factorizations in Estimation of Distribution Algorithms Using Affinity Propagation. - Roberto Santana 001; Pedro Larrañaga; José Antonio Lozano 001 (Evol. Comput., 2010)

On the limits of effectiveness in estimation of distribution algorithms. - Carlos Echegoyen; Qingfu Zhang 001; Alexander Mendiburu; Roberto Santana 001; José Antonio Lozano 001 (IEEE Congress on Evolutionary Computation, 2011)

A differential evolution algorithm for the detection of synaptic vesicles. - Antonio LaTorre; Santiago Muelas; José María Peña Sánchez; Roberto Santana 001; Ángel Merchán-Pérez; José-Rodrigo Rodríguez (IEEE Congress on Evolutionary Computation, 2011)

Multi-objective Optimization with Joint Probabilistic Modeling of Objectives and Variables. - Hossein Karshenas; Roberto Santana 001; Concha Bielza; Pedro Larrañaga (EMO, 2011)

Estimation of distribution algorithms: from available implementations to potential developments. - Roberto Santana 001 (GECCO (Companion), 2011)

Affinity propagation enhanced by estimation of distribution algorithms. - Roberto Santana 001; Concha Bielza; Pedro Larrañaga (GECCO, 2011)

Regularized k-order markov models in EDAs. - Roberto Santana 001; Hossein Karshenas; Concha Bielza; Pedro Larrañaga (GECCO, 2011)

Quantitative genetics in multi-objective optimization algorithms: from useful insights to effective methods. - Roberto Santana 001; Hossein Karshenas; Concha Bielza; Pedro Larrañaga (GECCO (Companion), 2011)

A direct optimization approach to the P300 speller. - Roberto Santana 001; Santiago Muelas; Antonio LaTorre; José María Peña Sánchez (GECCO, 2011)

Univariate marginal distribution algorithm dynamics for a class of parametric functions with unitation constraints. - Li-Vang Lozada-Chang; Roberto Santana 001 (Inf. Sci., 2011)

Optimizing Brain Networks Topologies Using Multi-objective Evolutionary Computation. - Roberto Santana 001; Concha Bielza; Pedro Larrañaga (Neuroinformatics, 2011)

Structural transfer using EDAs: An application to multi-marker tagging SNP selection. - Roberto Santana 001; Alexander Mendiburu; José Antonio Lozano 001 (IEEE Congress on Evolutionary Computation, 2012)

An analysis of the use of probabilistic modeling for synaptic connectivity prediction from genomic data. - Roberto Santana 001; Alexander Mendiburu; José Antonio Lozano 001 (IEEE Congress on Evolutionary Computation, 2012)

Maximizing the number of polychronous groups in spiking networks. - Roberto Santana 001; Concha Bielza; Pedro Larrañaga (GECCO (Companion), 2012)

Introducing the use of model-based evolutionary algorithms for EEG-based motor imagery classification. - Roberto Santana 001; Laurent Bonnet; Jozef Legény; Anatole Lécuyer (GECCO, 2012)

Evolving NK-complexity for evolutionary solvers. - Roberto Santana 001; Alexander Mendiburu; José Antonio Lozano 001 (GECCO (Companion), 2012)

Regularized logistic regression and multiobjective variable selection for classifying MEG data. - Roberto Santana 001; Concha Bielza; Pedro Larrañaga (Biol. Cybern., 2012)

A Markovianity based optimisation algorithm. - Siddhartha Shakya; Roberto Santana 001; José Antonio Lozano 001 (Genet. Program. Evolvable Mach., 2012)

A review on probabilistic graphical models in evolutionary computation. - Pedro Larrañaga; Hossein Karshenas; Concha Bielza; Roberto Santana 001 (J. Heuristics, 2012)

Toward Understanding EDAs Based on Bayesian Networks Through a Quantitative Analysis. - Carlos Echegoyen; Alexander Mendiburu; Roberto Santana 001; José Antonio Lozano 001 (IEEE Trans. Evol. Comput., 2012)

Symmetry in evolutionary and estimation of distribution algorithms. - Roberto Santana 001; Robert I. McKay; José Antonio Lozano 001 (IEEE Congress on Evolutionary Computation, 2013)

Critical Issues in Model-Based Surrogate Functions in Estimation of Distribution Algorithms. - Roberto Santana 001; Alexander Mendiburu; José Antonio Lozano 001 (SEMCCO (2), 2013)

Message Passing Methods for Estimation of Distribution Algorithms Based on Markov Networks. - Roberto Santana 001; Alexander Mendiburu; José Antonio Lozano 001 (SEMCCO (2), 2013)

Regularized continuous estimation of distribution algorithms. - Hossein Karshenas; Roberto Santana 001; Concha Bielza; Pedro Larrañaga (Appl. Soft Comput., 2013)

On the Taxonomy of Optimization Problems Under Estimation of Distribution Algorithms. - Carlos Echegoyen; Alexander Mendiburu; Roberto Santana 001; José Antonio Lozano 001 (Evol. Comput., 2013)

Network measures for information extraction in evolutionary algorithms. - Roberto Santana 001; Rubén Armañanzas; Concha Bielza; Pedro Larrañaga (Int. J. Comput. Intell. Syst., 2013)

A review on evolutionary algorithms in Bayesian network learning and inference tasks. - Pedro Larrañaga; Hossein Karshenas; Concha Bielza; Roberto Santana 001 (Inf. Sci., 2013)

A Probabilistic Evolutionary Optimization Approach to Compute Quasiparticle Braids. - Roberto Santana 001; Ross B. McDonald; Helmut G. Katzgraber (SEAL, 2014)

Customized Selection in Estimation of Distribution Algorithms. - Roberto Santana 001; Alexander Mendiburu; José Antonio Lozano 001 (SEAL, 2014)

Multiobjective Estimation of Distribution Algorithm Based on Joint Modeling of Objectives and Variables. - Hossein Karshenas; Roberto Santana 001; Concha Bielza; Pedro Larrañaga (IEEE Trans. Evol. Comput., 2014)

Capturing Relationships in Multi-objective Optimization. - Gian Mauricio Fritsche; Andrei Strickler; Aurora T. R. Pozo; Roberto Santana 001 (BRACIS, 2015)

Mixtures of Generalized Mallows models for solving the quadratic assignment problem. - Josu Ceberio; Roberto Santana 001; Alexander Mendiburu; José Antonio Lozano 001 (CEC, 2015)

Evolving MNK-landscapes with structural constraints. - Roberto Santana 001; Alexander Mendiburu; José Antonio Lozano 001 (CEC, 2015)

Fighting the Symmetries: The Structure of Cryptographic Boolean Function Spaces. - Stjepan Picek; Robert I. McKay; Roberto Santana 001; Tom Gedeon (GECCO, 2015)

Multi-objective NM-Landscapes. - Roberto Santana 001; Alexander Mendiburu; José Antonio Lozano 001 (GECCO (Companion), 2015)

Multi-view classification of psychiatric conditions based on saccades. - Roberto Santana 001; Alexander Mendiburu; José Antonio Lozano 001 (Appl. Soft Comput., 2015)

Computing factorized approximations of Pareto-fronts using mNM-landscapes and Boltzmann distributions. - Roberto Santana 001; Alexander Mendiburu; José Antonio Lozano 001 (CoRR, 2015)

MOEA/D-GM: Using probabilistic graphical models in MOEA/D for solving combinatorial optimization problems. - Murilo Zangari de Souza; Roberto Santana 001; Aurora Trinidad Ramirez Pozo; Alexander Mendiburu (CoRR, 2015)

Comprehensive characterization of the behaviors of estimation of distribution algorithms. - Carlos Echegoyen; Roberto Santana 001; Alexander Mendiburu; José Antonio Lozano 001 (Theor. Comput. Sci., 2015)

Investigating Selection Strategies in Multi-objective Probabilistic Model Based Algorithms. - Andrei Strickler; Olacir Rodrigues Castro Junior; Aurora T. R. Pozo; Roberto Santana 001 (BRACIS, 2016)

Maximal nonlinearity in balanced boolean functions with even number of inputs, revisited. - Stjepan Picek; Roberto Santana 001; Domagoj Jakobovic (CEC, 2016)

Evolutionary Optimization of Compiler Flag Selection by Learning and Exploiting Flags Interactions. - Unai Garciarena; Roberto Santana 001 (GECCO (Companion), 2016)

HMOBEDA: Hybrid Multi-objective Bayesian Estimation of Distribution Algorithm. - Marcella S. R. Martins; Myriam Regattieri de Biase da Silva Delgado; Roberto Santana 001; Ricardo Lüders; Richard Aderbal Gonçalves; Carolina Paula de Almeida (GECCO, 2016)

Evolutionary Approaches to Optimization Problems in Chimera Topologies. - Roberto Santana 001; Zheng Zhu; Helmut G. Katzgraber (GECCO, 2016)

On the Design of Hard mUBQP Instances. - Murilo Zangari; Roberto Santana 001; Alexander Mendiburu; Aurora T. R. Pozo (GECCO, 2016)

C-Multi: A competent multi-swarm approach for many-objective problems. - Olacir R. Castro Jr.; Roberto Santana 001; Aurora T. R. Pozo (Neurocomputing, 2016)

A review of message passing algorithms in estimation of distribution algorithms. - Roberto Santana 001; Alexander Mendiburu; José Antonio Lozano 001 (Nat. Comput., 2016)

Vine copula classifiers for the mind reading problem. - Diana Carrera; Roberto Santana 001; José Antonio Lozano 001 (Prog. Artif. Intell., 2016)

Probabilistic Analysis of Pareto Front Approximation for a Hybrid Multi-objective Bayesian Estimation of Distribution Algorithm. - Marcella Scoczynski Ribeiro Martins; Myriam Regattieri Delgado; Ricardo Lüders; Roberto Santana 001; Richard A. Gonçalves; Carolina P. de Almeida (BRACIS, 2017)

Combining CMA-ES and MOEA/DD for many-objective optimization. - Olacir R. Castro Jr.; Roberto Santana 001; José Antonio Lozano 001; Aurora T. R. Pozo (CEC, 2017)

Automated design of hyper-heuristics components to solve the PSP problem with HP model. - Vidal D. Fontoura; Aurora T. R. Pozo; Roberto Santana 001 (CEC, 2017)

A comparison of probabilistic-based optimization approaches for vehicle routing problems. - Roberto Santana 001; Gia Sirbiladze; Bezhan Ghvaberidze; Bidzina Matsaberidze (CEC, 2017)

Different scenarios for survival analysis of evolutionary algorithms. - Roberto Santana 001; José Antonio Lozano 001 (GECCO, 2017)

Not all PBILs are the same: Unveiling the different learning mechanisms of PBIL variants. - Murilo Zangari de Souza; Roberto Santana 001; Alexander Mendiburu; Aurora Trinidad Ramirez Pozo (Appl. Soft Comput., 2017)

Evolving imputation strategies for missing data in classification problems with TPOT. - Unai Garciarena; Roberto Santana 001; Alexander Mendiburu (CoRR, 2017)

Reproducing and learning new algebraic operations on word embeddings using genetic programming. - Roberto Santana 001 (CoRR, 2017)

Gray-box optimization and factorized distribution algorithms: where two worlds collide. - Roberto Santana 001 (CoRR, 2017)

An extensive analysis of the interaction between missing data types, imputation methods, and supervised classifiers. - Unai Garciarena; Roberto Santana 001 (Expert Syst. Appl., 2017)

A decomposition-based binary ACO algorithm for the multiobjective UBQP. - Murilo Zangari; Aurora T. R. Pozo; Roberto Santana 001; Alexander Mendiburu (Neurocomputing, 2017)

Multiobjective decomposition-based Mallows Models estimation of distribution algorithm. A case of study for permutation flowshop scheduling problem. - Murilo Zangari; Alexander Mendiburu; Roberto Santana 001; Aurora T. R. Pozo (Inf. Sci., 2017)

Transfer weight functions for injecting problem information in the multi-objective CMA-ES. - Olacir R. Castro Jr.; Aurora T. R. Pozo; José Antonio Lozano 001; Roberto Santana 001 (Memetic Comput., 2017)

An investigation of clustering strategies in many-objective optimization: the I-Multi algorithm as a case study. - Olacir R. Castro Jr.; Aurora T. R. Pozo; José Antonio Lozano 001; Roberto Santana 001 (Swarm Intell., 2017)

Analysis of the Complexity of the Automatic Pipeline Generation Problem. - Unai Garciarena; Roberto Santana 001; Alexander Mendiburu (CEC, 2018)

On the Performance of Multi-Objective Estimation of Distribution Algorithms for Combinatorial Problems. - Marcella S. R. Martins; Mohamed El Yafrani; Roberto Santana 001; Myriam Regattieri Delgado; Ricardo Lüders; Belaïd Ahiod (CEC, 2018)

Modeling dependencies between decision variables and objectives with copula models. - Abdelhakim Cheriet; Roberto Santana 001 (GECCO (Companion), 2018)

Evolved GANs for generating pareto set approximations. - Unai Garciarena; Roberto Santana 001; Alexander Mendiburu (GECCO, 2018)

Expanding variational autoencoders for learning and exploiting latent representations in search distributions. - Unai Garciarena; Roberto Santana 001; Alexander Mendiburu (GECCO, 2018)

EMPATHIC, Expressive, Advanced Virtual Coach to Improve Independent Healthy-Life-Years of the Elderdy. - M. Inés Torres; Gérard Chollet; César Montenegro; Jofre Tenorio-Laranga; Olga Gordeeva; Anna Esposito; Cornelius Glackin; Stephan Schlögl; Olivier Deroo; Begoñya Fernández-Ruanova; Roberto Santana 001; Maria Stylianou Korsnes; et al. (IberSPEECH, 2018)

The Relationship Between Graphical Representations of Regular Vine Copulas and Polytrees. - Diana Carrera; Roberto Santana 001; José Antonio Lozano 001 (IPMU (3), 2018)

Exploring the probabilistic graphic model of a hybrid multi-objective Bayesian estimation of distribution algorithm. - Marcella S. R. Martins; Myriam Regattieri Delgado; Ricardo Lüders; Roberto Santana 001; Richard A. Gonçalves; Carolina P. de Almeida (Appl. Soft Comput., 2018)

An investigation of the selection strategies impact on MOEDAs: CMA-ES and UMDA. - Andrei Strickler; Olacir Rodrigues Castro Junior; Aurora T. R. Pozo; Roberto Santana 001 (Appl. Soft Comput., 2018)

Towards a more efficient representation of imputation operators in TPOT. - Unai Garciarena; Alexander Mendiburu; Roberto Santana 001 (CoRR, 2018)

Hybrid multi-objective Bayesian estimation of distribution algorithm: a comparative analysis for the multi-objective knapsack problem. - Marcella S. R. Martins; Myriam Regattieri Delgado; Ricardo Lüders; Roberto Santana 001; Richard A. Gonçalves; Carolina P. de Almeida (J. Heuristics, 2018)

Algorithm 989: perm_mateda: A Matlab Toolbox of Estimation of Distribution Algorithms for Permutation-based Combinatorial Optimization Problems. - Ekhine Irurozki; Josu Ceberio; Josean Santamaria; Roberto Santana 001; Alexander Mendiburu (ACM Trans. Math. Softw., 2018)

Automatic Design of Convolutional Neural Networks using Grammatical Evolution. - Ricardo Henrique Remes de Lima; Aurora T. R. Pozo; Roberto Santana 001 (BRACIS, 2019)

Optimizing permutation-based problems with a discrete vine-copula as a model for EDA. - Abdelhakim Cheriet; Roberto Santana 001 (GECCO (Companion), 2019)

Sentiment analysis with genetically evolved gaussian kernels. - Ibai Roman; Alexander Mendiburu; Roberto Santana 001; José Antonio Lozano 001 (GECCO, 2019)

Bayesian Optimization Approaches for Massively Multi-modal Problems. - Ibai Roman; Alexander Mendiburu; Roberto Santana 001; José Antonio Lozano 001 (LION, 2019)

Evolving Gaussian Process Kernels for Translation Editing Effort Estimation. - Ibai Roman; Roberto Santana 001; Alexander Mendiburu; José Antonio Lozano 001 (LION, 2019)

Adaptation of a Branching Algorithm to Solve the Multi-Objective Hamiltonian Cycle Problem. - Maialen Murua; Diego Galar; Roberto Santana 001 (OR, 2019)

Data generation approaches for topic classification in multilingual spoken dialog systems. - César Montenegro; Roberto Santana 001; José Antonio Lozano 001 (PETRA, 2019)

The EMPATHIC project: mid-term achievements. - María Inés Torres; Javier Mikel Olaso; César Montenegro; Roberto Santana 001; Alain Vázquez; Raquel Justo; José Antonio Lozano 001; Stephan Schlögl; Gérard Chollet; Nazim Dugan; M. Irvine; Neil Glackin; et al. (PETRA, 2019)

An Experimental Study in Adaptive Kernel Selection for Bayesian Optimization. - Ibai Roman; Roberto Santana 001; Alexander Mendiburu; José Antonio Lozano 001 (IEEE Access, 2019)

Evolving Gaussian Process kernels from elementary mathematical expressions. - Ibai Roman; Roberto Santana 001; Alexander Mendiburu; José Antonio Lozano 001 (CoRR, 2019)

Universal adversarial examples in speech command classification. - Jon Vadillo; Roberto Santana 001 (CoRR, 2019)

GP-based methods for domain adaptation: using brain decoding across subjects as a test-case. - Roberto Santana 001; Luis Martí; Mengjie Zhang 001 (Genet. Program. Evolvable Mach., 2019)

Detection of sand dunes on Mars using a regular vine-based classification approach. - Diana Carrera; Lourenço P. C. Bandeira; Roberto Santana 001; José Antonio Lozano 001 (Knowl. Based Syst., 2019)

A Dialogue-Act Taxonomy for a Virtual Coach Designed to Improve the Life of Elderly. - César Montenegro; Asier López-Zorrilla; Javier Mikel Olaso; Roberto Santana 001; Raquel Justo; José Antonio Lozano 001; María Inés Torres (Multimodal Technol. Interact., 2019)

Envisioning the Benefits of Back-Drive in Evolutionary Algorithms. - Unai Garciarena; Alexander Mendiburu; Roberto Santana 001 (CEC, 2020)

A Symmetric grammar approach for designing segmentation models. - Ricardo Henrique Remes de Lima; Aurora T. R. Pozo; Alexander Mendiburu; Roberto Santana 001 (CEC, 2020)

Dynamic programming operators for the bi-objective Traveling Thief Problem. - Roberto Santana 001; Siddhartha Shakya (CEC, 2020)

Transfer learning in hierarchical dialogue topic classification with neural networks*. - César Montenegro; Roberto Santana 001; José Antonio Lozano 001 (IJCNN, 2020)

Exploring Gaps in DeepFool in Search of More Effective Adversarial Perturbations. - Jon Vadillo; Roberto Santana 001; José Antonio Lozano 001 (LOD (2), 2020)

Automatic Structural Search for Multi-task Learning VALPs. - Unai Garciarena; Alexander Mendiburu; Roberto Santana 001 (OLA, 2020)

EvoFlow: A Python library for evolving deep neural network architectures in tensorflow. - Unai Garciarena; Roberto Santana 001; Alexander Mendiburu (SSCI, 2020)

Investigating RNNs for vehicle volume forecasting in service stations. - Himadri Sikhar Khargharia; Roberto Santana 001; Siddhartha Shakya; Russell Ainslie; Gilbert Owusu (SSCI, 2020)

Tool-Path Problem in Direct Energy Deposition Metal-Additive Manufacturing: Sequence Strategy Generation. - Maialen Murua; Alfredo Suárez; Diego Galar; Roberto Santana 001 (IEEE Access, 2020)

On the human evaluation of audio adversarial examples. - Jon Vadillo; Roberto Santana 001 (CoRR, 2020)

Analysis of the transferability and robustness of GANs evolved for Pareto set approximations. - Unai Garciarena; Alexander Mendiburu; Roberto Santana 001 (Neural Networks, 2020)

Automatic Design of Deep Neural Networks Applied to Image Segmentation Problems. - Ricardo Henrique Remes de Lima; Aurora T. R. Pozo; Alexander Mendiburu; Roberto Santana 001 (EuroGP, 2021)

On the exploitation of neuroevolutionary information. - Unai Garciarena; Nuno Lourenço 002; Penousal Machado; Roberto Santana 001; Alexander Mendiburu (GECCO Companion, 2021)

The EMPATHIC Virtual Coach: a demo. - Javier Mikel Olaso; Alain Vázquez; Leila Ben Letaifa; Mikel de Velasco; Aymen Mtibaa; Mohamed Amine Hmani; Dijana Petrovska-Delacrétaz; Gérard Chollet; César Montenegro; Asier López-Zorrilla; Raquel Justo; Roberto Santana 001; et al. (ICMI, 2021)

Adversarial Perturbations for Evolutionary Optimization. - Unai Garciarena; Jon Vadillo; Alexander Mendiburu; Roberto Santana 001 (LOD, 2021)

Evolution of Gaussian Process kernels for machine translation post-editing effort estimation. - Ibai Roman; Roberto Santana 001; Alexander Mendiburu; José Antonio Lozano 001 (Ann. Math. Artif. Intell., 2021)

On the Exploitation of Neuroevolutionary Information: Analyzing the Past for a More Efficient Future. - Unai Garciarena; Nuno Lourenço 002; Penousal Machado; Roberto Santana 001; Alexander Mendiburu (CoRR, 2021)

Redefining Neural Architecture Search of Heterogeneous Multi-Network Models by Characterizing Variation Operators and Model Components. - Unai Garciarena; Roberto Santana 001; Alexander Mendiburu (CoRR, 2021)

When and How to Fool Explainable Models (and Humans) with Adversarial Examples. - Jon Vadillo; Roberto Santana 001; José Antonio Lozano 001 (CoRR, 2021)

Analysis of the sensitivity of the End-Of-Turn Detection task to errors generated by the Automatic Speech Recognition process. - César Montenegro; Roberto Santana 001; José Antonio Lozano 001 (Eng. Appl. Artif. Intell., 2021)

Analysis of Bayesian Network Learning Techniques for a Hybrid Multi-objective Bayesian Estimation of Distribution Algorithm: a case study on MNK Landscape. - Marcella S. R. Martins; Mohamed El Yafrani; Myriam Regattieri Delgado; Ricardo Lüders; Roberto Santana 001; Hugo Valadares Siqueira; Huseyin Gokhan Akcay; Belaïd Ahiod (J. Heuristics, 2021)

Evolving Gaussian process kernels from elementary mathematical expressions for time series extrapolation. - Ibai Roman; Roberto Santana 001; Alexander Mendiburu; José Antonio Lozano 001 (Neurocomputing, 2021)

Estimation of distribution algorithms for the computation of innovation estimators of diffusion processes. - Zochil González Arenas; Juan Carlos Jimenez 001; Li-Vang Lozada-Chang; Roberto Santana 001 (Math. Comput. Simul., 2021)

In-depth analysis of SVM kernel learning and its components. - Ibai Roman; Roberto Santana 001; Alexander Mendiburu; José Antonio Lozano 001 (Neural Comput. Appl., 2021)

Towards Automatic Construction of Multi-Network Models for Heterogeneous Multi-Task Learning. - Unai Garciarena; Alexander Mendiburu; Roberto Santana 001 (ACM Trans. Knowl. Discov. Data, 2021)

Multi-objective NK landscapes with heterogeneous objectives. - Raphaël Cosson; Roberto Santana 001; Bilel Derbel; Arnaud Liefooghe (GECCO, 2022)

Boomerang-shaped neural embeddings for NK landscapes. - Roberto Santana 001; Arnaud Liefooghe; Bilel Derbel (GECCO, 2022)

Evolutionary approaches with adaptive operators for the bi-objective TTP. - Roberto Santana 001; Siddhartha Shakya (SSCI, 2022)

On the human evaluation of universal audio adversarial perturbations. - Jon Vadillo; Roberto Santana 001 (Comput. Secur., 2022)

A grammar-based GP approach applied to the design of deep neural networks. - Ricardo Henrique Remes de Lima; Dimmy Magalhães; Aurora T. R. Pozo; Alexander Mendiburu; Roberto Santana 001 (Genet. Program. Evolvable Mach., 2022)

Solving the multi-objective Hamiltonian cycle problem using a Branch-and-Fix based algorithm. - Maialen Murua; Diego Galar; Roberto Santana 001 (J. Comput. Sci., 2022)

Analysis of dominant classes in universal adversarial perturbations. - Jon Vadillo; Roberto Santana 001; José Antonio Lozano 001 (Knowl. Based Syst., 2022)

Neuroevolutionary algorithms driven by neuron coverage metrics for semi-supervised classification. - Roberto Santana 001; Ivan Hidalgo-Cenalmor; Unai Garciarena; Alexander Mendiburu; José Antonio Lozano 001 (GECCO Companion, 2023)

Analyzing the interplay between transferable GANs and gradient optimizers. - Unai Garciarena; Roberto Santana 001; Alexander Mendiburu (GECCO Companion, 2023)

The Impact of Imputation Methods on the Classification of Household Devices from Electricity Usage Time Series. - Roberto Santana 001 (SNAMS, 2023)

Evolved Neural Networks for Building Energy Prediction. - Roberto Santana 001; Irati Prol-Godoy; Ana Picallo-Pérez; Iñaki Inza (SSCI, 2023)

On the Hyperparameters influencing a PINN's generalization beyond the training domain. - Andrea Bonfanti; Roberto Santana 001; Marco Ellero; Babak Gholami (CoRR, 2023)

Structural Restricted Boltzmann Machine for image denoising and classification. - Arkaitz Bidaurrazaga; Aritz Pérez; Roberto Santana 001 (CoRR, 2023)

Solving large flexible job shop scheduling instances by generating a diverse set of scheduling policies with deep reinforcement learning. - Imanol Echeverria; Maialen Murua; Roberto Santana 001 (CoRR, 2023)

Introducing multi-dimensional hierarchical classification: Characterization, solving strategies and performance measures. - César Montenegro; Roberto Santana 001; José Antonio Lozano 001 (Neurocomputing, 2023)

Extending Adversarial Attacks to Produce Adversarial Class Probability Distributions. - Jon Vadillo; Roberto Santana 001; José Antonio Lozano 001 (J. Mach. Learn. Res., 2023)

Continuous estimation of distribution algorithms for the parametric optimization of geothermal power plants. - Roberto Santana 001; Iñaki Inza; Irati Prol-Godoy; Ana Picallo-Pérez (CIIS, 2024)

Factorized models in neural architecture search: Impact on computational costs and performance. - Unai Garciarena; Alexander Mendiburu; Roberto Santana 001 (IJCNN, 2024)

Multi-Assignment Scheduler: A New Behavioral Cloning Method for the Job-Shop Scheduling Problem. - Imanol Echeverria; Maialen Murua; Roberto Santana 001 (LION, 2024)

ENIA Chair in Artificial Intelligence and Language Technology. - Eneko Agirre; Olatz Arbelaitz; Olatz Arregi; Gorka Azkune; Arantza Casillas; Inma Hernáez; Mikel Iruskieta; Elena Lazkano; Eva Navas; German Rigau; Roberto Santana 001; Aitor Soroa; et al. (SEPLN (Projects and Demonstrations), 2024)

Uncertainty-Aware Explanations Through Probabilistic Self-Explainable Neural Networks. - Jon Vadillo; Roberto Santana 001; José Antonio Lozano 001; Marta Kwiatkowska (CoRR, 2024)

Identifying phase transitions in physical systems with neural networks: a neural architecture search perspective. - Rodrigo Carmo Terin; Zochil González Arenas; Roberto Santana 001 (CoRR, 2024)

Optimal synthesis embeddings. - Roberto Santana 001; Mauricio Romero Sicre (CoRR, 2024)

Domain Adaptation-Enhanced Searchlight: Enabling brain decoding from visual perception to mental imagery. - Alexander Olza; David Soto; Roberto Santana 001 (CoRR, 2024)

On bi-objective combinatorial optimization with heterogeneous objectives. - Raphaël Cosson; Roberto Santana 001; Bilel Derbel; Arnaud Liefooghe (Eur. J. Oper. Res., 2024)

Filter method-based feature selection process for unattributed-identity multi-target regression problem. - Iker García; Roberto Santana 001 (Expert Syst. Appl., 2024)

Unified Framework for the Analysis of the Effect of Control Strategies on On-Load Tap-Changer's Automatic Voltage Controller. - Iker García; Roberto Santana 001 (IEEE Trans Autom. Sci. Eng., 2024)

Computational Tools for Neuronal Morphometric Analysis: A Systematic Search and Review. - Jéssica Leite; Fabiano Nhoatto; Antonio Jacob Jr.; Roberto Santana 001; Fábio Manoel França Lobato (Neuroinformatics, 2024)

Redefining Neural Architecture Search of Heterogeneous Multinetwork Models by Characterizing Variation Operators and Model Components. - Unai Garciarena; Roberto Santana 001; Alexander Mendiburu (IEEE Trans. Neural Networks Learn. Syst., 2024)

On the generalization of PINNs outside the training domain and the hyperparameters influencing it. - Andrea Bonfanti; Roberto Santana 001; Marco Ellero; Babak Gholami (Neural Comput. Appl., 2024)

Learning the Graph Structure of Regular Vine-Copulas from Dependence Lists. - Diana Carrera; Roberto Santana 001; José Antonio Lozano 001 (ACM Trans. Evol. Learn. Optim., 2024)

Offline reinforcement learning for job-shop scheduling problems. - Imanol Echeverria; Maialen Murua; Roberto Santana 001 (Appl. Soft Comput., 2025)

Diverse policy generation for the flexible job-shop scheduling problem via deep reinforcement learning with a novel graph representation. - Imanol Echeverria; Maialen Murua; Roberto Santana 001 (Eng. Appl. Artif. Intell., 2025)

Leveraging constraint programming in a deep learning approach for dynamically solving the flexible job-shop scheduling problem. - Imanol Echeverria; Maialen Murua; Roberto Santana 001 (Expert Syst. Appl., 2025)

Self-Evaluation for Job-Shop Scheduling. - Imanol Echeverria; Maialen Murua; Roberto Santana 001 (CoRR, 2025)

Adversarial Attacks in Explainable Machine Learning: A Survey of Threats Against Models and Humans. - Jon Vadillo; Roberto Santana 001; José Antonio Lozano 001 (WIREs Data. Mining. Knowl. Discov., 2025)

Benchmarking MOEAs for solving continuous multi-objective RL problems. - Carlos Hernández; Roberto Santana 001 (CoRR, 2025)

Domain Adaptation-enhanced searchlight: enabling classification of brain states from visual perception to mental imagery. - Alexander Olza; David Soto; Roberto Santana 001 (Brain Informatics, 2025)