Roberto Santana

196 papers A 18B 28C 1Journal 101Unranked 46

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Adversarial Attacks in Explainable Machine Learning: A Survey of Threats Against Models and Humans. WIREs Data. Mining. Knowl. Discov. Jon Vadillo, Roberto Santana, José Antonio Lozano
2025	J	`jnl`	Benchmarking MOEAs for solving continuous multi-objective RL problems. CoRR Carlos Hernández, Roberto Santana
2025	J	`jnl`	DecNefLab: A Modular and Interpretable Simulation Framework for Decoded Neurofeedback. CoRR Alexander Olza, Roberto Santana, David Soto
2025	J	`jnl`	Diverse policy generation for the flexible job-shop scheduling problem via deep reinforcement learning with a novel graph representation. Eng. Appl. Artif. Intell. Imanol Echeverria, Maialen Murua, Roberto Santana
2025	J	`jnl`	Domain Adaptation-enhanced searchlight: enabling classification of brain states from visual perception to mental imagery. Brain Informatics Alexander Olza, David Soto, Roberto Santana
2025	J	`jnl`	Leveraging constraint programming in a deep learning approach for dynamically solving the flexible job-shop scheduling problem. Expert Syst. Appl. Imanol Echeverria, Maialen Murua, Roberto Santana
2025	J	`jnl`	Offline reinforcement learning for job-shop scheduling problems. Appl. Soft Comput. Imanol Echeverria, Maialen Murua, Roberto Santana
2025	—	`conf`	On the impact of diffusion models in estimation of distribution algorithms. ICCMS Roberto Santana
2025	J	`jnl`	PINN Balls: Scaling Second-Order Methods for PINNs with Domain Decomposition and Adaptive Sampling. CoRR Andrea Bonfanti, Ismael Medina, Roman List, Björn Staeves, Roberto Santana, Marco Ellero
2025	J	`jnl`	Self-Evaluation for Job-Shop Scheduling. CoRR Imanol Echeverria, Maialen Murua, Roberto Santana
2024	J	`jnl`	Computational Tools for Neuronal Morphometric Analysis: A Systematic Search and Review. Neuroinformatics Jéssica Leite, Fabiano Nhoatto, Antonio Jacob Jr., Roberto Santana, Fábio Manoel França Lobato
2024	—	`conf`	Continuous estimation of distribution algorithms for the parametric optimization of geothermal power plants. CIIS Roberto Santana, Iñaki Inza, Irati Prol-Godoy, Ana Picallo-Pérez
2024	J	`jnl`	Domain Adaptation-Enhanced Searchlight: Enabling brain decoding from visual perception to mental imagery. CoRR Alexander Olza, David Soto, Roberto Santana
2024	—	`conf`	ENIA Chair in Artificial Intelligence and Language Technology. SEPLN (Projects and Demonstrations) Eneko Agirre, Olatz Arbelaitz, Olatz Arregi, Gorka Azkune, Arantza Casillas, Inma Hernáez, Mikel Iruskieta, Elena Lazkano, Eva Navas, German Rigau, Roberto Santana, Aitor Soroa, Rabih Zbib
2024	—	`conf`	Enhancing Accuracy and Explainability in Anomaly Classification with Large Language Models. CALM Roberto Santana
2024	B	`conf`	Factorized models in neural architecture search: Impact on computational costs and performance. IJCNN Unai Garciarena, Alexander Mendiburu, Roberto Santana
2024	J	`jnl`	Filter method-based feature selection process for unattributed-identity multi-target regression problem. Expert Syst. Appl. Iker García, Roberto Santana
2024	J	`jnl`	Identifying phase transitions in physical systems with neural networks: a neural architecture search perspective. CoRR Rodrigo Carmo Terin, Zochil González Arenas, Roberto Santana
2024	J	`jnl`	Learning the Graph Structure of Regular Vine-Copulas from Dependence Lists. ACM Trans. Evol. Learn. Optim. Diana Carrera, Roberto Santana, José Antonio Lozano
2024	J	`jnl`	Leveraging Constraint Programming in a Deep Learning Approach for Dynamically Solving the Flexible Job-Shop Scheduling Problem. CoRR Imanol Echeverria, Maialen Murua, Roberto Santana
2024	—	`conf`	Multi-Assignment Scheduler: A New Behavioral Cloning Method for the Job-Shop Scheduling Problem. LION Imanol Echeverria, Maialen Murua, Roberto Santana
2024	J	`jnl`	Offline reinforcement learning for job-shop scheduling problems. CoRR Imanol Echeverria, Maialen Murua, Roberto Santana
2024	J	`jnl`	On bi-objective combinatorial optimization with heterogeneous objectives. Eur. J. Oper. Res. Raphaël Cosson, Roberto Santana, Bilel Derbel, Arnaud Liefooghe
2024	J	`jnl`	On the generalization of PINNs outside the training domain and the hyperparameters influencing it. Neural Comput. Appl. Andrea Bonfanti, Roberto Santana, Marco Ellero, Babak Gholami
2024	J	`jnl`	Optimal synthesis embeddings. CoRR Roberto Santana, Mauricio Romero Sicre
2024	J	`jnl`	Redefining Neural Architecture Search of Heterogeneous Multinetwork Models by Characterizing Variation Operators and Model Components. IEEE Trans. Neural Networks Learn. Syst. Unai Garciarena, Roberto Santana, Alexander Mendiburu
2024	J	`jnl`	Uncertainty-Aware Explanations Through Probabilistic Self-Explainable Neural Networks. CoRR Jon Vadillo, Roberto Santana, José Antonio Lozano, Marta Kwiatkowska
2024	J	`jnl`	Unified Framework for the Analysis of the Effect of Control Strategies on On-Load Tap-Changer's Automatic Voltage Controller. IEEE Trans Autom. Sci. Eng. Iker García, Roberto Santana
2023	—	`conf`	Analyzing the interplay between transferable GANs and gradient optimizers. GECCO Companion Unai Garciarena, Roberto Santana, Alexander Mendiburu
2023	—	`conf`	Evolved Neural Networks for Building Energy Prediction. SSCI Roberto Santana, Irati Prol-Godoy, Ana Picallo-Pérez, Iñaki Inza
2023	J	`jnl`	Extending Adversarial Attacks to Produce Adversarial Class Probability Distributions. J. Mach. Learn. Res. Jon Vadillo, Roberto Santana, José Antonio Lozano
2023	J	`jnl`	Introducing multi-dimensional hierarchical classification: Characterization, solving strategies and performance measures. Neurocomputing César Montenegro, Roberto Santana, José Antonio Lozano
2023	—	`conf`	Neuroevolutionary algorithms driven by neuron coverage metrics for semi-supervised classification. GECCO Companion Roberto Santana, Ivan Hidalgo-Cenalmor, Unai Garciarena, Alexander Mendiburu, José Antonio Lozano
2023	J	`jnl`	Neuroevolutionary algorithms driven by neuron coverage metrics for semi-supervised classification. CoRR Roberto Santana, Ivan Hidalgo-Cenalmor, Unai Garciarena, Alexander Mendiburu, José Antonio Lozano
2023	J	`jnl`	On the Hyperparameters influencing a PINN's generalization beyond the training domain. CoRR Andrea Bonfanti, Roberto Santana, Marco Ellero, Babak Gholami
2023	J	`jnl`	Solving large flexible job shop scheduling instances by generating a diverse set of scheduling policies with deep reinforcement learning. CoRR Imanol Echeverria, Maialen Murua, Roberto Santana
2023	J	`jnl`	Structural Restricted Boltzmann Machine for image denoising and classification. CoRR Arkaitz Bidaurrazaga, Aritz Pérez, Roberto Santana
2023	—	`conf`	The Impact of Imputation Methods on the Classification of Household Devices from Electricity Usage Time Series. SNAMS Roberto Santana
2022	J	`jnl`	A grammar-based GP approach applied to the design of deep neural networks. Genet. Program. Evolvable Mach. Ricardo Henrique Remes de Lima, Dimmy Magalhães, Aurora T. R. Pozo, Alexander Mendiburu, Roberto Santana
2022	J	`jnl`	Analysis of dominant classes in universal adversarial perturbations. Knowl. Based Syst. Jon Vadillo, Roberto Santana, José Antonio Lozano
2022	A	`conf`	Boomerang-shaped neural embeddings for NK landscapes. GECCO Roberto Santana, Arnaud Liefooghe, Bilel Derbel
2022	—	`conf`	Evolutionary approaches with adaptive operators for the bi-objective TTP. SSCI Roberto Santana, Siddhartha Shakya
2022	A	`conf`	Multi-objective NK landscapes with heterogeneous objectives. GECCO Raphaël Cosson, Roberto Santana, Bilel Derbel, Arnaud Liefooghe
2022	J	`jnl`	On the human evaluation of universal audio adversarial perturbations. Comput. Secur. Jon Vadillo, Roberto Santana
2022	J	`jnl`	Solving the multi-objective Hamiltonian cycle problem using a Branch-and-Fix based algorithm. J. Comput. Sci. Maialen Murua, Diego Galar, Roberto Santana
2021	—	`conf`	Adversarial Perturbations for Evolutionary Optimization. LOD Unai Garciarena, Jon Vadillo, Alexander Mendiburu, Roberto Santana
2021	J	`jnl`	Analysis of Bayesian Network Learning Techniques for a Hybrid Multi-objective Bayesian Estimation of Distribution Algorithm: a case study on MNK Landscape. J. Heuristics Marcella S. R. Martins, Mohamed El Yafrani, Myriam Regattieri Delgado, Ricardo Lüders, Roberto Santana, Hugo Valadares Siqueira, Huseyin Gokhan Akcay, Belaïd Ahiod
2021	J	`jnl`	Analysis of the sensitivity of the End-Of-Turn Detection task to errors generated by the Automatic Speech Recognition process. Eng. Appl. Artif. Intell. César Montenegro, Roberto Santana, José Antonio Lozano
2021	B	`conf`	Automatic Design of Deep Neural Networks Applied to Image Segmentation Problems. EuroGP Ricardo Henrique Remes de Lima, Aurora T. R. Pozo, Alexander Mendiburu, Roberto Santana
2021	J	`jnl`	Estimation of distribution algorithms for the computation of innovation estimators of diffusion processes. Math. Comput. Simul. Zochil González Arenas, Juan Carlos Jimenez, Li-Vang Lozada-Chang, Roberto Santana
2021	J	`jnl`	Evolution of Gaussian Process kernels for machine translation post-editing effort estimation. Ann. Math. Artif. Intell. Ibai Roman, Roberto Santana, Alexander Mendiburu, José Antonio Lozano
2021	J	`jnl`	Evolving Gaussian process kernels from elementary mathematical expressions for time series extrapolation. Neurocomputing Ibai Roman, Roberto Santana, Alexander Mendiburu, José Antonio Lozano
2021	J	`jnl`	In-depth analysis of SVM kernel learning and its components. Neural Comput. Appl. Ibai Roman, Roberto Santana, Alexander Mendiburu, José Antonio Lozano
2021	J	`jnl`	On the Exploitation of Neuroevolutionary Information: Analyzing the Past for a More Efficient Future. CoRR Unai Garciarena, Nuno Lourenço, Penousal Machado, Roberto Santana, Alexander Mendiburu
2021	—	`conf`	On the exploitation of neuroevolutionary information. GECCO Companion Unai Garciarena, Nuno Lourenço, Penousal Machado, Roberto Santana, Alexander Mendiburu
2021	J	`jnl`	Redefining Neural Architecture Search of Heterogeneous Multi-Network Models by Characterizing Variation Operators and Model Components. CoRR Unai Garciarena, Roberto Santana, Alexander Mendiburu
2021	J	`jnl`	The EMPATHIC Project: Mid-term Achievements. CoRR M. Inés Torres, Javier Mikel Olaso, César Montenegro, Roberto Santana, Alain Vázquez, Raquel Justo, José Antonio Lozano, Stephan Schlögl, Gérard Chollet, Nazim Dugan, M. Irvine, Neil Glackin, Colin Pickard, Anna Esposito, Gennaro Cordasco, Alda Troncone, Dijana Petrovska-Delacrétaz, Aymen Mtibaa, Mohamed Amine Hmani, Maria Stylianou Korsnes, L. J. Martinussen, Sergio Escalera, Cristina Palmero Cantariño, Olivier Deroo, Olga Gordeeva, Jofre Tenorio-Laranga, Eduardo Gonzalez-Fraile, Begonya Fernandez-Ruanova, A. Gonzalez-Pinto
2021	B	`conf`	The EMPATHIC Virtual Coach: a demo. ICMI 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, Jofre Tenorio-Laranga, Eduardo González-Fraile, Begoña Fernández-Ruanova, Gennaro Cordasco, Anna Esposito, Kristin Beck Gjellesvik, Anna Torp Johansen, Maria Stylianou Korsnes, Colin Pickard, Cornelius Glackin, Gary Cahalane, Pau Buch-Cardona, Cristina Palmero, Sergio Escalera, Olga Gordeeva, Olivier Deroo, Anaïs Fernández, Daria Kyslitska, José Antonio Lozano, María Inés Torres, Stephan Schlögl
2021	J	`jnl`	Towards Automatic Construction of Multi-Network Models for Heterogeneous Multi-Task Learning. ACM Trans. Knowl. Discov. Data Unai Garciarena, Alexander Mendiburu, Roberto Santana
2021	J	`jnl`	When and How to Fool Explainable Models (and Humans) with Adversarial Examples. CoRR Jon Vadillo, Roberto Santana, José Antonio Lozano
2020	B	`conf`	A Symmetric grammar approach for designing segmentation models. CEC Ricardo Henrique Remes de Lima, Aurora T. R. Pozo, Alexander Mendiburu, Roberto Santana
2020	J	`jnl`	Analysis of Dominant Classes in Universal Adversarial Perturbations. CoRR Jon Vadillo, Roberto Santana, José Antonio Lozano
2020	J	`jnl`	Analysis of the transferability and robustness of GANs evolved for Pareto set approximations. Neural Networks Unai Garciarena, Alexander Mendiburu, Roberto Santana
2020	—	`conf`	Automatic Structural Search for Multi-task Learning VALPs. OLA Unai Garciarena, Alexander Mendiburu, Roberto Santana
2020	B	`conf`	Dynamic programming operators for the bi-objective Traveling Thief Problem. CEC Roberto Santana, Siddhartha Shakya
2020	B	`conf`	Envisioning the Benefits of Back-Drive in Evolutionary Algorithms. CEC Unai Garciarena, Alexander Mendiburu, Roberto Santana
2020	—	`conf`	EvoFlow: A Python library for evolving deep neural network architectures in tensorflow. SSCI Unai Garciarena, Roberto Santana, Alexander Mendiburu
2020	—	`conf`	Exploring Gaps in DeepFool in Search of More Effective Adversarial Perturbations. LOD (2) Jon Vadillo, Roberto Santana, José Antonio Lozano
2020	J	`jnl`	Extending Adversarial Attacks to Produce Adversarial Class Probability Distributions. CoRR Jon Vadillo, Roberto Santana, José Antonio Lozano
2020	—	`conf`	Investigating RNNs for vehicle volume forecasting in service stations. SSCI Himadri Sikhar Khargharia, Roberto Santana, Siddhartha Shakya, Russell Ainslie, Gilbert Owusu
2020	J	`jnl`	On the human evaluation of audio adversarial examples. CoRR Jon Vadillo, Roberto Santana
2020	J	`jnl`	Tool-Path Problem in Direct Energy Deposition Metal-Additive Manufacturing: Sequence Strategy Generation. IEEE Access Maialen Murua, Alfredo Suárez, Diego Galar, Roberto Santana
2020	B	`conf`	Transfer learning in hierarchical dialogue topic classification with neural networks IJCNN César Montenegro, Roberto Santana, José Antonio Lozano
2019	J	`jnl`	A Dialogue-Act Taxonomy for a Virtual Coach Designed to Improve the Life of Elderly. Multimodal Technol. Interact. César Montenegro, Asier López-Zorrilla, Javier Mikel Olaso, Roberto Santana, Raquel Justo, José Antonio Lozano, María Inés Torres
2019	—	`conf`	Adaptation of a Branching Algorithm to Solve the Multi-Objective Hamiltonian Cycle Problem. OR Maialen Murua, Diego Galar, Roberto Santana
2019	J	`jnl`	An Experimental Study in Adaptive Kernel Selection for Bayesian Optimization. IEEE Access Ibai Roman, Roberto Santana, Alexander Mendiburu, José Antonio Lozano
2019	—	`conf`	Automatic Design of Convolutional Neural Networks using Grammatical Evolution. BRACIS Ricardo Henrique Remes de Lima, Aurora T. R. Pozo, Roberto Santana
2019	—	`conf`	Bayesian Optimization Approaches for Massively Multi-modal Problems. LION Ibai Roman, Alexander Mendiburu, Roberto Santana, José Antonio Lozano
2019	—	`conf`	Data generation approaches for topic classification in multilingual spoken dialog systems. PETRA César Montenegro, Roberto Santana, José Antonio Lozano
2019	J	`jnl`	Detection of sand dunes on Mars using a regular vine-based classification approach. Knowl. Based Syst. Diana Carrera, Lourenço P. C. Bandeira, Roberto Santana, José Antonio Lozano
2019	—	`conf`	Evolving Gaussian Process Kernels for Translation Editing Effort Estimation. LION Ibai Roman, Roberto Santana, Alexander Mendiburu, José Antonio Lozano
2019	J	`jnl`	Evolving Gaussian Process kernels from elementary mathematical expressions. CoRR Ibai Roman, Roberto Santana, Alexander Mendiburu, José Antonio Lozano
2019	J	`jnl`	GP-based methods for domain adaptation: using brain decoding across subjects as a test-case. Genet. Program. Evolvable Mach. Roberto Santana, Luis Martí, Mengjie Zhang
2019	—	`conf`	Optimizing permutation-based problems with a discrete vine-copula as a model for EDA. GECCO (Companion) Abdelhakim Cheriet, Roberto Santana
2019	J	`jnl`	Sentiment analysis with genetically evolved Gaussian kernels. CoRR Ibai Roman, Alexander Mendiburu, Roberto Santana, José Antonio Lozano
2019	A	`conf`	Sentiment analysis with genetically evolved gaussian kernels. GECCO Ibai Roman, Alexander Mendiburu, Roberto Santana, José Antonio Lozano
2019	—	`conf`	The EMPATHIC project: mid-term achievements. PETRA María Inés Torres, Javier Mikel Olaso, César Montenegro, Roberto Santana, Alain Vázquez, Raquel Justo, José Antonio Lozano, Stephan Schlögl, Gérard Chollet, Nazim Dugan, M. Irvine, Neil Glackin, Colin Pickard, Anna Esposito, Gennaro Cordasco, Alda Troncone, Dijana Petrovska-Delacrétaz, Aymen Mtibaa, Mohamed Amine Hmani, Maria Stylianou Korsnes, L. J. Martinussen, Sergio Escalera, Cristina Palmero Cantariño, Olivier Deroo, Olga Gordeeva, Jofre Tenorio-Laranga, Eduardo Gonzalez-Fraile, Begoñya Fernández-Ruanova, A. Gonzalez-Pinto
2019	J	`jnl`	Towards automatic construction of multi-network models for heterogeneous multi-task learning. CoRR Unai Garciarena, Alexander Mendiburu, Roberto Santana
2019	J	`jnl`	Universal adversarial examples in speech command classification. CoRR Jon Vadillo, Roberto Santana
2018	J	`jnl`	Algorithm 989: perm_mateda: A Matlab Toolbox of Estimation of Distribution Algorithms for Permutation-based Combinatorial Optimization Problems. ACM Trans. Math. Softw. Ekhine Irurozki, Josu Ceberio, Josean Santamaria, Roberto Santana, Alexander Mendiburu
2018	J	`jnl`	An investigation of the selection strategies impact on MOEDAs: CMA-ES and UMDA. Appl. Soft Comput. Andrei Strickler, Olacir Rodrigues Castro Junior, Aurora T. R. Pozo, Roberto Santana
2018	B	`conf`	Analysis of the Complexity of the Automatic Pipeline Generation Problem. CEC Unai Garciarena, Roberto Santana, Alexander Mendiburu
2018	—	`conf`	EMPATHIC, Expressive, Advanced Virtual Coach to Improve Independent Healthy-Life-Years of the Elderdy. IberSPEECH 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, Maria Stylianou Korsnes, Fred Lindner, Daria Kyslitska, Miriam Reiner, Gennaro Cordasco, Mari Aksnes, Raquel Justo
2018	A	`conf`	Evolved GANs for generating pareto set approximations. GECCO Unai Garciarena, Roberto Santana, Alexander Mendiburu
2018	A	`conf`	Expanding variational autoencoders for learning and exploiting latent representations in search distributions. GECCO Unai Garciarena, Roberto Santana, Alexander Mendiburu
2018	J	`jnl`	Exploring the probabilistic graphic model of a hybrid multi-objective Bayesian estimation of distribution algorithm. Appl. Soft Comput. Marcella S. R. Martins, Myriam Regattieri Delgado, Ricardo Lüders, Roberto Santana, Richard A. Gonçalves, Carolina P. de Almeida
2018	J	`jnl`	Hybrid multi-objective Bayesian estimation of distribution algorithm: a comparative analysis for the multi-objective knapsack problem. J. Heuristics Marcella S. R. Martins, Myriam Regattieri Delgado, Ricardo Lüders, Roberto Santana, Richard A. Gonçalves, Carolina P. de Almeida
2018	—	`conf`	Modeling dependencies between decision variables and objectives with copula models. GECCO (Companion) Abdelhakim Cheriet, Roberto Santana
2018	B	`conf`	On the Performance of Multi-Objective Estimation of Distribution Algorithms for Combinatorial Problems. CEC Marcella S. R. Martins, Mohamed El Yafrani, Roberto Santana, Myriam Regattieri Delgado, Ricardo Lüders, Belaïd Ahiod
2018	J	`jnl`	On the performance of multi-objective estimation of distribution algorithms for combinatorial problems. CoRR Marcella S. R. Martins, Mohamed El Yafrani, Roberto Santana, Myriam Regattieri Delgado, Ricardo Lüders, Belaïd Ahiod
2018	—	`conf`	The Relationship Between Graphical Representations of Regular Vine Copulas and Polytrees. IPMU (3) Diana Carrera, Roberto Santana, José Antonio Lozano
2018	J	`jnl`	Towards a more efficient representation of imputation operators in TPOT. CoRR Unai Garciarena, Alexander Mendiburu, Roberto Santana
2017	B	`conf`	A comparison of probabilistic-based optimization approaches for vehicle routing problems. CEC Roberto Santana, Gia Sirbiladze, Bezhan Ghvaberidze, Bidzina Matsaberidze
2017	J	`jnl`	A decomposition-based binary ACO algorithm for the multiobjective UBQP. Neurocomputing Murilo Zangari, Aurora T. R. Pozo, Roberto Santana, Alexander Mendiburu
2017	J	`jnl`	An extensive analysis of the interaction between missing data types, imputation methods, and supervised classifiers. Expert Syst. Appl. Unai Garciarena, Roberto Santana
2017	J	`jnl`	An investigation of clustering strategies in many-objective optimization: the I-Multi algorithm as a case study. Swarm Intell. Olacir R. Castro Jr., Aurora T. R. Pozo, José Antonio Lozano, Roberto Santana
2017	B	`conf`	Automated design of hyper-heuristics components to solve the PSP problem with HP model. CEC Vidal D. Fontoura, Aurora T. R. Pozo, Roberto Santana
2017	B	`conf`	Combining CMA-ES and MOEA/DD for many-objective optimization. CEC Olacir R. Castro Jr., Roberto Santana, José Antonio Lozano, Aurora T. R. Pozo
2017	A	`conf`	Different scenarios for survival analysis of evolutionary algorithms. GECCO Roberto Santana, José Antonio Lozano
2017	J	`jnl`	Evolving imputation strategies for missing data in classification problems with TPOT. CoRR Unai Garciarena, Roberto Santana, Alexander Mendiburu
2017	J	`jnl`	Gray-box optimization and factorized distribution algorithms: where two worlds collide. CoRR Roberto Santana
2017	J	`jnl`	Multiobjective decomposition-based Mallows Models estimation of distribution algorithm. A case of study for permutation flowshop scheduling problem. Inf. Sci. Murilo Zangari, Alexander Mendiburu, Roberto Santana, Aurora T. R. Pozo
2017	J	`jnl`	Not all PBILs are the same: Unveiling the different learning mechanisms of PBIL variants. Appl. Soft Comput. Murilo Zangari de Souza, Roberto Santana, Alexander Mendiburu, Aurora Trinidad Ramirez Pozo
2017	—	`conf`	Probabilistic Analysis of Pareto Front Approximation for a Hybrid Multi-objective Bayesian Estimation of Distribution Algorithm. BRACIS Marcella Scoczynski Ribeiro Martins, Myriam Regattieri Delgado, Ricardo Lüders, Roberto Santana, Richard A. Gonçalves, Carolina P. de Almeida
2017	J	`jnl`	Reproducing and learning new algebraic operations on word embeddings using genetic programming. CoRR Roberto Santana
2017	J	`jnl`	Transfer weight functions for injecting problem information in the multi-objective CMA-ES. Memetic Comput. Olacir R. Castro Jr., Aurora T. R. Pozo, José Antonio Lozano, Roberto Santana
2016	J	`jnl`	A review of message passing algorithms in estimation of distribution algorithms. Nat. Comput. Roberto Santana, Alexander Mendiburu, José Antonio Lozano
2016	J	`jnl`	C-Multi: A competent multi-swarm approach for many-objective problems. Neurocomputing Olacir R. Castro Jr., Roberto Santana, Aurora T. R. Pozo
2016	A	`conf`	Evolutionary Approaches to Optimization Problems in Chimera Topologies. GECCO Roberto Santana, Zheng Zhu, Helmut G. Katzgraber
2016	J	`jnl`	Evolutionary Approaches to Optimization Problems in Chimera Topologies. CoRR Roberto Santana, Zheng Zhu, Helmut G. Katzgraber
2016	—	`conf`	Evolutionary Optimization of Compiler Flag Selection by Learning and Exploiting Flags Interactions. GECCO (Companion) Unai Garciarena, Roberto Santana
2016	A	`conf`	HMOBEDA: Hybrid Multi-objective Bayesian Estimation of Distribution Algorithm. GECCO Marcella S. R. Martins, Myriam Regattieri de Biase da Silva Delgado, Roberto Santana, Ricardo Lüders, Richard Aderbal Gonçalves, Carolina Paula de Almeida
2016	—	`conf`	Investigating Selection Strategies in Multi-objective Probabilistic Model Based Algorithms. BRACIS Andrei Strickler, Olacir Rodrigues Castro Junior, Aurora T. R. Pozo, Roberto Santana
2016	B	`conf`	Maximal nonlinearity in balanced boolean functions with even number of inputs, revisited. CEC Stjepan Picek, Roberto Santana, Domagoj Jakobovic
2016	A	`conf`	On the Design of Hard mUBQP Instances. GECCO Murilo Zangari, Roberto Santana, Alexander Mendiburu, Aurora T. R. Pozo
2016	J	`jnl`	Vine copula classifiers for the mind reading problem. Prog. Artif. Intell. Diana Carrera, Roberto Santana, José Antonio Lozano
2015	—	`conf`	Capturing Relationships in Multi-objective Optimization. BRACIS Gian Mauricio Fritsche, Andrei Strickler, Aurora T. R. Pozo, Roberto Santana
2015	J	`jnl`	Comprehensive characterization of the behaviors of estimation of distribution algorithms. Theor. Comput. Sci. Carlos Echegoyen, Roberto Santana, Alexander Mendiburu, José Antonio Lozano
2015	J	`jnl`	Computing factorized approximations of Pareto-fronts using mNM-landscapes and Boltzmann distributions. CoRR Roberto Santana, Alexander Mendiburu, José Antonio Lozano
2015	B	`conf`	Evolving MNK-landscapes with structural constraints. CEC Roberto Santana, Alexander Mendiburu, José Antonio Lozano
2015	A	`conf`	Fighting the Symmetries: The Structure of Cryptographic Boolean Function Spaces. GECCO Stjepan Picek, Robert I. McKay, Roberto Santana, Tom Gedeon
2015	J	`jnl`	MOEA/D-GM: Using probabilistic graphical models in MOEA/D for solving combinatorial optimization problems. CoRR Murilo Zangari de Souza, Roberto Santana, Aurora Trinidad Ramirez Pozo, Alexander Mendiburu
2015	B	`conf`	Mixtures of Generalized Mallows models for solving the quadratic assignment problem. CEC Josu Ceberio, Roberto Santana, Alexander Mendiburu, José Antonio Lozano
2015	—	`conf`	Multi-objective NM-Landscapes. GECCO (Companion) Roberto Santana, Alexander Mendiburu, José Antonio Lozano
2015	J	`jnl`	Multi-view classification of psychiatric conditions based on saccades. Appl. Soft Comput. Roberto Santana, Alexander Mendiburu, José Antonio Lozano
2014	—	`conf`	A Probabilistic Evolutionary Optimization Approach to Compute Quasiparticle Braids. SEAL Roberto Santana, Ross B. McDonald, Helmut G. Katzgraber
2014	J	`jnl`	A probabilistic evolutionary optimization approach to compute quasiparticle braids. CoRR Roberto Santana, Ross B. McDonald, Helmut G. Katzgraber
2014	—	`conf`	Customized Selection in Estimation of Distribution Algorithms. SEAL Roberto Santana, Alexander Mendiburu, José Antonio Lozano
2014	J	`jnl`	Multiobjective Estimation of Distribution Algorithm Based on Joint Modeling of Objectives and Variables. IEEE Trans. Evol. Comput. Hossein Karshenas, Roberto Santana, Concha Bielza, Pedro Larrañaga
2013	J	`jnl`	A review on evolutionary algorithms in Bayesian network learning and inference tasks. Inf. Sci. Pedro Larrañaga, Hossein Karshenas, Concha Bielza, Roberto Santana
2013	—	`conf`	Critical Issues in Model-Based Surrogate Functions in Estimation of Distribution Algorithms. SEMCCO (2) Roberto Santana, Alexander Mendiburu, José Antonio Lozano
2013	—	`conf`	Message Passing Methods for Estimation of Distribution Algorithms Based on Markov Networks. SEMCCO (2) Roberto Santana, Alexander Mendiburu, José Antonio Lozano
2013	J	`jnl`	Network measures for information extraction in evolutionary algorithms. Int. J. Comput. Intell. Syst. Roberto Santana, Rubén Armañanzas, Concha Bielza, Pedro Larrañaga
2013	J	`jnl`	On the Taxonomy of Optimization Problems Under Estimation of Distribution Algorithms. Evol. Comput. Carlos Echegoyen, Alexander Mendiburu, Roberto Santana, José Antonio Lozano
2013	J	`jnl`	Regularized continuous estimation of distribution algorithms. Appl. Soft Comput. Hossein Karshenas, Roberto Santana, Concha Bielza, Pedro Larrañaga
2013	B	`conf`	Symmetry in evolutionary and estimation of distribution algorithms. IEEE Congress on Evolutionary Computation Roberto Santana, Robert I. McKay, José Antonio Lozano
2012	J	`jnl`	A Markovianity based optimisation algorithm. Genet. Program. Evolvable Mach. Siddhartha Shakya, Roberto Santana, José Antonio Lozano
2012	J	`jnl`	A review on probabilistic graphical models in evolutionary computation. J. Heuristics Pedro Larrañaga, Hossein Karshenas, Concha Bielza, Roberto Santana
2012	B	`conf`	An analysis of the use of probabilistic modeling for synaptic connectivity prediction from genomic data. IEEE Congress on Evolutionary Computation Roberto Santana, Alexander Mendiburu, José Antonio Lozano
2012	—	`conf`	Evolving NK-complexity for evolutionary solvers. GECCO (Companion) Roberto Santana, Alexander Mendiburu, José Antonio Lozano
2012	A	`conf`	Introducing the use of model-based evolutionary algorithms for EEG-based motor imagery classification. GECCO Roberto Santana, Laurent Bonnet, Jozef Legény, Anatole Lécuyer
2012	—	`conf`	Maximizing the number of polychronous groups in spiking networks. GECCO (Companion) Roberto Santana, Concha Bielza, Pedro Larrañaga
2012	J	`jnl`	Regularized logistic regression and multiobjective variable selection for classifying MEG data. Biol. Cybern. Roberto Santana, Concha Bielza, Pedro Larrañaga
2012	B	`conf`	Structural transfer using EDAs: An application to multi-marker tagging SNP selection. IEEE Congress on Evolutionary Computation Roberto Santana, Alexander Mendiburu, José Antonio Lozano
2012	J	`jnl`	Toward Understanding EDAs Based on Bayesian Networks Through a Quantitative Analysis. IEEE Trans. Evol. Comput. Carlos Echegoyen, Alexander Mendiburu, Roberto Santana, José Antonio Lozano
2011	B	`conf`	A differential evolution algorithm for the detection of synaptic vesicles. IEEE Congress on Evolutionary Computation Antonio LaTorre, Santiago Muelas, José María Peña Sánchez, Roberto Santana, Ángel Merchán-Pérez, José-Rodrigo Rodríguez
2011	A	`conf`	A direct optimization approach to the P300 speller. GECCO Roberto Santana, Santiago Muelas, Antonio LaTorre, José María Peña Sánchez
2011	A	`conf`	Affinity propagation enhanced by estimation of distribution algorithms. GECCO Roberto Santana, Concha Bielza, Pedro Larrañaga
2011	—	`conf`	Estimation of distribution algorithms: from available implementations to potential developments. GECCO (Companion) Roberto Santana
2011	C	`conf`	Multi-objective Optimization with Joint Probabilistic Modeling of Objectives and Variables. EMO Hossein Karshenas, Roberto Santana, Concha Bielza, Pedro Larrañaga
2011	B	`conf`	On the limits of effectiveness in estimation of distribution algorithms. IEEE Congress on Evolutionary Computation Carlos Echegoyen, Qingfu Zhang, Alexander Mendiburu, Roberto Santana, José Antonio Lozano
2011	J	`jnl`	Optimizing Brain Networks Topologies Using Multi-objective Evolutionary Computation. Neuroinformatics Roberto Santana, Concha Bielza, Pedro Larrañaga
2011	—	`conf`	Quantitative genetics in multi-objective optimization algorithms: from useful insights to effective methods. GECCO (Companion) Roberto Santana, Hossein Karshenas, Concha Bielza, Pedro Larrañaga
2011	A	`conf`	Regularized k-order markov models in EDAs. GECCO Roberto Santana, Hossein Karshenas, Concha Bielza, Pedro Larrañaga
2011	J	`jnl`	Univariate marginal distribution algorithm dynamics for a class of parametric functions with unitation constraints. Inf. Sci. Li-Vang Lozada-Chang, Roberto Santana
2010	B	`conf`	Bivariate empirical and n-variate Archimedean copulas in estimation of distribution algorithms. IEEE Congress on Evolutionary Computation Alfredo Cuesta-Infante, Roberto Santana, José Ignacio Hidalgo, Concha Bielza, Pedro Larrañaga
2010	B	`conf`	Estimation of Bayesian networks algorithms in a class of complex networks. IEEE Congress on Evolutionary Computation Carlos Echegoyen, Alexander Mendiburu, Roberto Santana, José Antonio Lozano
2010	J	`jnl`	Learning Factorizations in Estimation of Distribution Algorithms Using Affinity Propagation. Evol. Comput. Roberto Santana, Pedro Larrañaga, José Antonio Lozano
2010	J	`jnl`	Multi-marker tagging single nucleotide polymorphism selection using estimation of distribution algorithms. Artif. Intell. Medicine Roberto Santana, Alexander Mendiburu, Noah Zaitlen, Eleazar Eskin, José Antonio Lozano
2010	—	`conf`	Synergies between Network-Based Representation and Probabilistic Graphical Models for Classification, Inference and Optimization Problems in Neuroscience. IEA/AIE (3) Roberto Santana, Concha Bielza, Pedro Larrañaga
2010	—	`conf`	Using Probabilistic Dependencies Improves the Search of Conductance-Based Compartmental Neuron Models. EvoBIO Roberto Santana, Concha Bielza, Pedro Larrañaga
2009	B	`conf`	Analyzing the probability of the optimum in EDAs based on Bayesian networks. IEEE Congress on Evolutionary Computation Carlos Echegoyen, Alexander Mendiburu, Roberto Santana, José Antonio Lozano
2009	A	`conf`	Mining probabilistic models learned by EDAs in the optimization of multi-objective problems. GECCO Roberto Santana, Concha Bielza, José Antonio Lozano, Pedro Larrañaga
2009	J	`jnl`	Research topics in discrete estimation of distribution algorithms based on factorizations. Memetic Comput. Roberto Santana, Pedro Larrañaga, José Antonio Lozano
2008	J	`jnl`	A review of estimation of distribution algorithms in bioinformatics. BioData Min. Rubén Armañanzas, Iñaki Inza, Roberto Santana, Yvan Saeys, Jose Luis Flores, José Antonio Lozano, Yves Van de Peer, Rosa Blanco, Víctor Robles, Concha Bielza, Pedro Larrañaga
2008	—	`ch.`	Adaptive Estimation of Distribution Algorithms. Adaptive and Multilevel Metaheuristics Roberto Santana, Pedro Larrañaga, José Antonio Lozano
2008	A	`conf`	Adding Probabilistic Dependencies to the Search of Protein Side Chain Configurations Using EDAs. PPSN Roberto Santana, Pedro Larrañaga, José Antonio Lozano
2008	A	`conf`	An EDA based on local markov property and gibbs sampling. GECCO Siddhartha Shakya, Roberto Santana
2008	J	`jnl`	Combining variable neighborhood search and estimation of distribution algorithms in the protein side chain placement problem. J. Heuristics Roberto Santana, Pedro Larrañaga, José Antonio Lozano
2008	B	`conf`	Component weighting functions for adaptive search with EDAs. IEEE Congress on Evolutionary Computation Roberto Santana, Pedro Larrañaga, José Antonio Lozano
2008	J	`jnl`	Protein Folding in Simplified Models With Estimation of Distribution Algorithms. IEEE Trans. Evol. Comput. Roberto Santana, Pedro Larrañaga, José Antonio Lozano
2008	—	`ch.`	The Impact of Exact Probabilistic Learning Algorithms in EDAs Based on Bayesian Networks. Linkage in Evolutionary Computation Carlos Echegoyen, Roberto Santana, José Antonio Lozano, Pedro Larrañaga
2007	—	`conf`	A parallel framework for loopy belief propagation. GECCO (Companion) Alexander Mendiburu, Roberto Santana, José Antonio Lozano, Endika Bengoetxea
2007	B	`conf`	Exact Bayesian network learning in estimation of distribution algorithms. IEEE Congress on Evolutionary Computation Carlos Echegoyen, José Antonio Lozano, Roberto Santana, Pedro Larrañaga
2007	J	`jnl`	Side chain placement using estimation of distribution algorithms. Artif. Intell. Medicine Roberto Santana, Pedro Larrañaga, José Antonio Lozano
2007	—	`conf`	The Role of a Priori Information in the Minimization of Contact Potentials by Means of Estimation of Distribution Algorithms. EvoBIO Roberto Santana, Pedro Larrañaga, José Antonio Lozano
2006	J	`jnl`	Machine learning in bioinformatics. Briefings Bioinform. Pedro Larrañaga, Borja Calvo, Roberto Santana, Concha Bielza, Josu Galdiano, Iñaki Inza, José Antonio Lozano, Rubén Armañanzas, Guzmán Santafé, Aritz Pérez Martínez, Victor Robles
2006	—	`conf`	Mixtures of Kikuchi Approximations. ECML Roberto Santana, Pedro Larrañaga, José Antonio Lozano
2005	J	`jnl`	Estimation of Distribution Algorithms with Kikuchi Approximations. Evol. Comput. Roberto Santana
2005	B	`conf`	Interactions and dependencies in estimation of distribution algorithms. Congress on Evolutionary Computation Roberto Santana, Pedro Larrañaga, José Antonio Lozano
2004	—	`conf`	Protein Folding in 2-Dimensional Lattices with Estimation of Distribution Algorithms. ISBMDA Roberto Santana, Pedro Larrañaga, José Antonio Lozano
2003	—	`conf`	A Markov Network Based Factorized Distribution Algorithm for Optimization. ECML Roberto Santana
2002	B	`conf`	Blocked stochastic sampling versus Estimation of Distribution Algorithms. IEEE Congress on Evolutionary Computation Roberto Santana, Heinz Mühlenbein
2001	J	`jnl`	On the use of Factorized Distribution Algorithms for problems defined on graphs. Electron. Notes Discret. Math. Roberto Santana, Carlos Alberto Ochoa Ortíz Zezzatti, Marta Soto
2000	A	`conf`	Probabilistic Evolution and the Busy Beaver Problem. GECCO Roberto Santana, Alberto Ochoa-Rodríguez, Marta Soto, Francisco Baptista Pereira, Penousal Machado, Ernesto Costa, Amílcar Cardoso
2000	B	`conf`	Too busy to learn [individual learning interaction with evolutionary algorithm in Busy Beaver problem]. CEC Francisco Baptista Pereira, Penousal Machado, Ernesto Costa, Amílcar Cardoso, Alberto Ochoa-Rodríguez, Roberto Santana, Marta Soto