Roberto Santana

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Message Passing Methods for Estimation of Distribution Algorithms Based on Markov Networks

Roberto Santana, Alexander Mendiburu, José Antonio Lozano, 2013, SEMCCO.

Automatic Structural Search for Multi-task Learning VALPs

Roberto Santana, Alexander Mendiburu, Unai Garciarena, 2020, OLA.

Detection of sand dunes on Mars using a regular vine-based classification approach

Roberto Santana, José Antonio Lozano, Diana Carrera, 2019, Knowl. Based Syst..

Algorithm 989

Roberto Santana, Alexander Mendiburu, Ekhine Irurozki, 2018, ACM Transactions on Mathematical Software.

Towards Automatic Construction of Multi-Network Models for Heterogeneous Multi-Task Learning pdf

Roberto Santana, Alexander Mendiburu, Unai Garciarena, 2019, ACM Trans. Knowl. Discov. Data.

Regularized continuous estimation of distribution algorithms

Concha Bielza, Pedro Larrañaga, Roberto Santana, 2013, Appl. Soft Comput..

A Probabilistic Evolutionary Optimization Approach to Compute Quasiparticle Braids pdf

Roberto Santana, Helmut G. Katzgraber, Ross B. McDonald, 2014, SEAL.

Dynamic programming operators for the bi-objective Traveling Thief Problem

Roberto Santana, Siddhartha Shakya, 2020, 2020 IEEE Congress on Evolutionary Computation (CEC).

Model-based template-recombination in Markov network estimation of distribution algorithms for problems with discrete representation

Roberto Santana, Alexander Mendiburu, Roberto Santana, 2013, 2013 Third World Congress on Information and Communication Technologies (WICT 2013).

A Markov Network Based Factorized Distribution Algorithm for Optimization

Roberto Santana, 2003, ECML.

Tool-Path Problem in Direct Energy Deposition Metal-Additive Manufacturing: Sequence Strategy Generation

Roberto Santana, Diego Galar, Maialen Murua, 2020, IEEE Access.

Synergies between Network-Based Representation and Probabilistic Graphical Models for Classification, Inference and Optimization Problems in Neuroscience

Concha Bielza, Pedro Larrañaga, Roberto Santana, 2010, IEA/AIE.

A parallel framework for loopy belief propagation

Endika Bengoetxea, Roberto Santana, Alexander Mendiburu, 2007, GECCO '07.

Network measures for information extraction in evolutionary algorithms

Concha Bielza, Pedro Larrañaga, Roberto Santana, 2013, Int. J. Comput. Intell. Syst..

Multiobjective Estimation of Distribution Algorithm Based on Joint Modeling of Objectives and Variables

Concha Bielza, Pedro Larrañaga, Roberto Santana, 2014, IEEE Transactions on Evolutionary Computation.

An empirical comparison of distance/similarity measures for Natural Language Processing

Roberto Santana, Dimmy K. S. Magalhães, Aurora T. R. Pozo, 2019, Anais do Encontro Nacional de Inteligência Artificial e Computacional (ENIAC 2019).

An analysis of the use of probabilistic modeling for synaptic connectivity prediction from genomic data

Roberto Santana, Alexander Mendiburu, José Antonio Lozano, 2012, 2012 IEEE Congress on Evolutionary Computation.

A review of estimation of distribution algorithms in bioinformatics

Concha Bielza, Pedro Larrañaga, Yvan Saeys, 2008, BioData Mining.

Bayesian Optimization Approaches for Massively Multi-modal Problems

Roberto Santana, Alexander Mendiburu, José Antonio Lozano, 2019, LION.

Univariate marginal distribution algorithm dynamics for a class of parametric functions with unitation constraints

Roberto Santana, Li-Vang Lozada-Chang, Roberto Santana, 2011, Inf. Sci..

An Experimental Study in Adaptive Kernel Selection for Bayesian Optimization

Jose A. Lozano, Roberto Santana, Alexander Mendiburu, 2019, IEEE Access.

Feature extraction-based prediction of tool wear of Inconel 718 in face turning

Roberto Santana, L. N. López de Lacalle, Anders Wretland, 2018, Insight - Non-Destructive Testing and Condition Monitoring.

EvoFlow: A Python library for evolving deep neural network architectures in tensorflow

Roberto Santana, Unai Garciarena, Alexander Mendiburu, 2020, 2020 IEEE Symposium Series on Computational Intelligence (SSCI).

MOEA/D-GM: Using probabilistic graphical models in MOEA/D for solving combinatorial optimization problems pdf

Aurora Trinidad Ramirez Pozo, Roberto Santana, Alexander Mendiburu, 2015, ArXiv.

Using Probabilistic Dependencies Improves the Search of Conductance-Based Compartmental Neuron Models

Concha Bielza, Pedro Larrañaga, Roberto Santana, 2010, EvoBIO.

A Symmetric grammar approach for designing segmentation models

Roberto Santana, Alexander Mendiburu, Aurora Pozo, 2020, 2020 IEEE Congress on Evolutionary Computation (CEC).

Fast Fitness Improvements in Estimation of Distribution Algorithms Using Belief Propagation

Jose A. Lozano, Roberto Santana, Alexander Mendiburu, 2012 .

Exact Bayesian network learning in estimation of distribution algorithms

Pedro Larrañaga, Roberto Santana, José Antonio Lozano, 2007, 2007 IEEE Congress on Evolutionary Computation.

Markov Networks in Evolutionary Computation

Siddhartha Shakya, Roberto Santana, 2012 .

Evolving Gaussian Process Kernels for Translation Editing Effort Estimation

Roberto Santana, Alexander Mendiburu, José Antonio Lozano, 2019, LION.

Decoding and encoding models reveal the role of mental simulation in the brain representation of meaning

Roberto Santana, Usman Ayub Sheikh, David Soto, 2020, Royal Society Open Science.

Envisioning the Benefits of Back-Drive in Evolutionary Algorithms

Roberto Santana, Alexander Mendiburu, Unai Garciarena, 2020, 2020 IEEE Congress on Evolutionary Computation (CEC).

The Role of a Priori Information in the Minimization of Contact Potentials by Means of Estimation of Distribution Algorithms

Pedro Larrañaga, Roberto Santana, José Antonio Lozano, 2007, EvoBIO.

Gray-box optimization and factorized distribution algorithms: where two worlds collide pdf

Roberto Santana, Roberto Santana, 2017, ArXiv.

Side chain placement using estimation of distribution algorithms

Pedro Larrañaga, Roberto Santana, José Antonio Lozano, 2007, Artif. Intell. Medicine.

Multi-objective NM-Landscapes

Roberto Santana, Alexander Mendiburu, José Antonio Lozano, 2015, GECCO.

Dynamic Kernel Selection Criteria for Bayesian Optimization

Jose A. Lozano, Roberto Santana, Alexander Mendiburu, 2014 .

Multi-objective Approach to the Protein Structure Prediction Problem

Roberto Santana, Aurora Pozo, Ricardo Henrique Remes de Lima, 2020 .

Multi-objective optimization approach to detecting extremal patterns in social networks

Roberto Santana, 2013, 2013 Third World Congress on Information and Communication Technologies (WICT 2013).

Automated design of hyper-heuristics components to solve the PSP problem with HP model

Aurora Trinidad Ramirez Pozo, Roberto Santana, Vidal D. Fontoura, 2017, 2017 IEEE Congress on Evolutionary Computation (CEC).

A Review of Estimation of Distribution Algorithms and Markov Networks

Siddhartha Shakya, Roberto Santana, Roberto Santana, 2012 .

On the use of polytrees in evolutionary optimization

Roberto Santana, Alberto Ochoa, Marta Soto, 2001 .

Optimizing permutation-based problems with a discrete vine-copula as a model for EDA

Roberto Santana, Abdelhakim Cheriet, 2019, GECCO.

Towards a more efficient representation of imputation operators in TPOT pdf

Roberto Santana, Alexander Mendiburu, Unai Garciarena, 2018, ArXiv.

Combining variable neighborhood search and estimation of distribution algorithms in the protein side chain placement problem

Pedro Larrañaga, Roberto Santana, José Antonio Lozano, 2007, J. Heuristics.

A decomposition-based binary ACO algorithm for the multiobjective UBQP

Aurora Trinidad Ramirez Pozo, Roberto Santana, Alexander Mendiburu, 2017, Neurocomputing.

MN-EDA and the Use of Clique-Based Factorisations in EDAs

Roberto Santana, 2012 .

Universal adversarial examples in speech command classification pdf

Roberto Santana, Jon Vadillo, 2019, ArXiv.

Estimation of distribution algorithms: from available implementations to potential developments

Roberto Santana, Roberto Santana, 2011, GECCO.

On the use of Factorized Distribution Algorithms for problems defined on graphs

Roberto Santana, Carlos Alberto Ochoa Ortíz Zezzatti, Marta Soto, 2001, Electron. Notes Discret. Math..

User Adapted Motor-Imaginary Brain-Computer Interface by means of EEG Channel Selection Based on Estimation of Distributed Algorithms

Javier Muguerza, Roberto Santana, Basilio Sierra, 2016 .

Analyzing the probability of the optimum in EDAs based on Bayesian networks

Roberto Santana, Alexander Mendiburu, José Antonio Lozano, 2009, 2009 IEEE Congress on Evolutionary Computation.

Mateda-2.0: A MATLAB package for the implementation and analysis of estimation of distribution algorithms

Concha Bielza, Pedro Larrañaga, Jose A. Lozano, 2010 .

Conductance interaction identification by means of Boltzmann distribution and mutual information analysis in conductance-based neuron models

Concha Bielza, Pedro Larrañaga, Roberto Santana, 2012, BMC Neuroscience.

Adaptation of a Branching Algorithm to Solve the Multi-Objective Hamiltonian Cycle Problem

Roberto Santana, Diego Galar, Maialen Murua, 2019, OR.

Customized Selection in Estimation of Distribution Algorithms

Roberto Santana, Alexander Mendiburu, José Antonio Lozano, 2014, SEAL.

Estimation of Bayesian networks algorithms in a class of complex networks

Roberto Santana, Alexander Mendiburu, José Antonio Lozano, 2010, IEEE Congress on Evolutionary Computation.

Estudio de la probabilidad del óptimo en EDAs basados en redes Bayesianas

Jose A. Lozano, Roberto Santana, Alexander Mendiburu, 2009 .

ON THE USE OF POLYTREES IN EVOLUTIONARY

Roberto Santana, Alberto Ochoa, 2001 .

Extending Adversarial Attacks to Produce Adversarial Class Probability Distributions pdf

Jose A. Lozano, Roberto Santana, Jon Vadillo, 2020, ArXiv.

On the Taxonomy of Optimization Problems Under Estimation of Distribution Algorithms

Roberto Santana, Alexander Mendiburu, José Antonio Lozano, 2013, Evolutionary Computation.

Modeling dependencies between decision variables and objectives with copula models

Roberto Santana, Abdelhakim Cheriet, 2018, GECCO.

HMOBEDA: Hybrid Multi-objective Bayesian Estimation of Distribution Algorithm

Carolina P. de Almeida, Ricardo Lüders, Roberto Santana, 2016, GECCO.

Maximal nonlinearity in balanced boolean functions with even number of inputs, revisited

Roberto Santana, Domagoj Jakobovic, Stjepan Picek, 2016, 2016 IEEE Congress on Evolutionary Computation (CEC).

Optimizing Brain Networks Topologies Using Multi-objective Evolutionary Computation

Concha Bielza, Pedro Larrañaga, Roberto Santana, 2011, Neuroinformatics.

Critical Issues in Model-Based Surrogate Functions in Estimation of Distribution Algorithms

Roberto Santana, Alexander Mendiburu, José Antonio Lozano, 2013, SEMCCO.

Comparison of Classification Methods for EEG-based Emotion Recognition

Roberto Santana, Bao-Liang Lu, Wei-Long Zheng, 2015 .

The Relationship Between Graphical Representations of Regular Vine Copulas and Polytrees

Roberto Santana, José Antonio Lozano, Diana Carrera, 2018, IPMU.

Continuous Estimation of Distribution Algorithms Based on Factorized Gaussian Markov Networks

Concha Bielza, Pedro Larrañaga, Roberto Santana, 2012 .

Evolving MNK-landscapes with structural constraints

Roberto Santana, Alexander Mendiburu, José Antonio Lozano, 2015, 2015 IEEE Congress on Evolutionary Computation (CEC).

Reproducing and learning new algebraic operations on word embeddings using genetic programming pdf

Roberto Santana, Roberto Santana, 2017, ArXiv.

Quantitative genetics in multi-objective optimization algorithms: from useful insights to effective methods

Concha Bielza, Pedro Larrañaga, Roberto Santana, 2011, GECCO '11.

A hybrid genetic algorithm for a hamiltonian path problem

Roberto Santana, Eunice Ponce De Leon, 1999 .

Component weighting functions for adaptive search with EDAs

Pedro Larrañaga, Roberto Santana, José Antonio Lozano, 2008, 2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on Computational Intelligence).

Regularized logistic regression and multiobjective variable selection for classifying MEG data

Concha Bielza, Pedro Larrañaga, Roberto Santana, 2012, Biological Cybernetics.

Mining probabilistic models learned by EDAs in the optimization of multi-objective problems

Concha Bielza, Pedro Larrañaga, Roberto Santana, 2009, GECCO.

A Dialogue-Act Taxonomy for a Virtual Coach Designed to Improve the Life of Elderly

M. Inés Torres, María Inés Torres, Jose A. Lozano, 2019, Multimodal Technol. Interact..

Investigating Selection Strategies in Multi-objective Probabilistic Model Based Algorithms

Aurora Trinidad Ramirez Pozo, Roberto Santana, Olacir Rodrigues Castro Junior, 2016, 2016 5th Brazilian Conference on Intelligent Systems (BRACIS).

An EDA based on local markov property and gibbs sampling

Siddhartha Shakya, Roberto Santana, 2008, GECCO '08.

Probabilistic Analysis of Pareto Front Approximation for a Hybrid Multi-objective Bayesian Estimation of Distribution Algorithm

Carolina P. de Almeida, Ricardo Lüders, Roberto Santana, 2017, 2017 Brazilian Conference on Intelligent Systems (BRACIS).

Vine copula classifiers for the mind reading problem

Roberto Santana, José Antonio Lozano, Diana Carrera, 2016, Progress in Artificial Intelligence.

Evolved GANs for generating pareto set approximations

Roberto Santana, Alexander Mendiburu, Unai Garciarena, 2018, GECCO.

Decoding and encoding models reveal the role of the depth of processing in the brain representation of meaning

Roberto Santana, Ning Mei, Usman Ayub Sheikh, 2019, bioRxiv.

On the human evaluation of audio adversarial examples pdf

Roberto Santana, Jon Vadillo, 2020, ArXiv.

A review on probabilistic graphical models in evolutionary computation

Concha Bielza, Pedro Larrañaga, Roberto Santana, 2012, Journal of Heuristics.

Combining CMA-ES and MOEA/DD for many-objective optimization

Aurora Trinidad Ramirez Pozo, Roberto Santana, José Antonio Lozano, 2017, 2017 IEEE Congress on Evolutionary Computation (CEC).

Multi-objective Optimization with Joint Probabilistic Modeling of Objectives and Variables

Concha Bielza, Pedro Larrañaga, Roberto Santana, 2011, EMO.

Evolving imputation strategies for missing data in classification problems with TPOT pdf

Roberto Santana, Alexander Mendiburu, Unai Garciarena, 2017, ArXiv.

Introducing the use of model-based evolutionary algorithms for EEG-based motor imagery classification

Anatole Lécuyer, Roberto Santana, Laurent Bonnet, 2012, GECCO '12.

Mixtures of Kikuchi Approximations

Pedro Larrañaga, Roberto Santana, José Antonio Lozano, 2006, ECML.

Hybrid multi-objective Bayesian estimation of distribution algorithm: a comparative analysis for the multi-objective knapsack problem

Carolina P. de Almeida, Ricardo Lüders, Roberto Santana, 2017, Journal of Heuristics.

Protein Folding in 2-Dimensional Lattices with Estimation of Distribution Algorithms

Pedro Larrañaga, Roberto Santana, José Antonio Lozano, 2004, ISBMDA.

GP-based methods for domain adaptation: using brain decoding across subjects as a test-case

Mengjie Zhang, Roberto Santana, Luis Marti, 2019, Genetic Programming and Evolvable Machines.

Protein Folding in Simplified Models With Estimation of Distribution Algorithms

Pedro Larrañaga, Roberto Santana, José Antonio Lozano, 2008, IEEE Transactions on Evolutionary Computation.

Regularized k-order markov models in EDAs

Concha Bielza, Pedro Larrañaga, Roberto Santana, 2011, GECCO '11.

Bivariate empirical and n-variate Archimedean copulas in estimation of distribution algorithms

José Ignacio Hidalgo, Concha Bielza, Pedro Larrañaga, 2010, IEEE Congress on Evolutionary Computation.

Structural transfer using EDAs: An application to multi-marker tagging SNP selection

Roberto Santana, Alexander Mendiburu, José Antonio Lozano, 2012, 2012 IEEE Congress on Evolutionary Computation.

On the Design of Hard mUBQP Instances

Aurora Trinidad Ramirez Pozo, Roberto Santana, Alexander Mendiburu, 2016, GECCO.

Affinity propagation enhanced by estimation of distribution algorithms

Concha Bielza, Pedro Larrañaga, Roberto Santana, 2011, GECCO '11.

Probabilistic Graphical Models and Markov Networks

Siddhartha Shakya, Roberto Santana, Roberto Santana, 2012 .

Multiobjective decomposition-based Mallows Models estimation of distribution algorithm. A case of study for permutation flowshop scheduling problem

Aurora Trinidad Ramirez Pozo, Roberto Santana, Alexander Mendiburu, 2017, Inf. Sci..

Investigating RNNs for vehicle volume forecasting in service stations

Roberto Santana, Himadri Sikhar Khargharia, Siddhartha Shakya, 2020, 2020 IEEE Symposium Series on Computational Intelligence (SSCI).

Adding Probabilistic Dependencies to the Search of Protein Side Chain Configurations Using EDAs

Pedro Larrañaga, Roberto Santana, José Antonio Lozano, 2008, PPSN.

An investigation of clustering strategies in many-objective optimization: the I-Multi algorithm as a case study

Aurora Trinidad Ramirez Pozo, Roberto Santana, José Antonio Lozano, 2017, Swarm Intelligence.

Different scenarios for survival analysis of evolutionary algorithms

Roberto Santana, José Antonio Lozano, J. A. Lozano, 2017, GECCO.

Toward Understanding EDAs Based on Bayesian Networks Through a Quantitative Analysis

Roberto Santana, Alexander Mendiburu, José Antonio Lozano, 2012, IEEE Transactions on Evolutionary Computation.

Analysis of the transferability and robustness of GANs evolved for Pareto set approximations

Roberto Santana, Alexander Mendiburu, Unai Garciarena, 2020, Neural Networks.

MOA - Markovian Optimisation Algorithm

Siddhartha Shakya, Roberto Santana, Roberto Santana, 2012 .

Correction to ‘Decoding and encoding models reveal the role of mental simulation in the brain representation of meaning’

Roberto Santana, Usman Ayub Sheikh, David Soto, 2020, Royal Society Open Science.

Maximizing the number of polychronous groups in spiking networks

Concha Bielza, Pedro Larrañaga, Roberto Santana, 2012, GECCO '12.

Improving the Discovery Component of Classifier Systems by the application of Estimation of Distribution Algorithms

Roberto Santana, Joaquin Rivera, 2009 .

A Markovianity based optimisation algorithm

Siddhartha Shakya, Roberto Santana, José Antonio Lozano, 2012, Genetic Programming and Evolvable Machines.

The Impact of Exact Probabilistic Learning Algorithms in EDAs Based on Bayesian Networks

Pedro Larrañaga, Roberto Santana, José Antonio Lozano, 2008, Linkage in Evolutionary Computation.

Transfer learning in hierarchical dialogue topic classification with neural networks*

Roberto Santana, Cesar Montenegro, Jose A. Lozano, 2020, 2020 International Joint Conference on Neural Networks (IJCNN).

Multi-view classification of psychiatric conditions based on saccades

Roberto Santana, Alexander Mendiburu, José Antonio Lozano, 2015, Appl. Soft Comput..

Fighting the Symmetries: The Structure of Cryptographic Boolean Function Spaces

Tamás D. Gedeon, Roberto Santana, Robert I. McKay, 2015, GECCO.

Machine Learning in Bioinformatics

Concha Bielza, Pedro Larrañaga, Iñaki Inza, 2008, Encyclopedia of Database Systems.

On the Performance of Multi-Objective Estimation of Distribution Algorithms for Combinatorial Problems

Ricardo Lüders, Roberto Santana, Myriam Regattieri Delgado, 2018, 2018 IEEE Congress on Evolutionary Computation (CEC).

Evolutionary Optimization of Compiler Flag Selection by Learning and Exploiting Flags Interactions

Roberto Santana, Unai Garciarena, Roberto Santana, 2016, GECCO.

Multi-marker tagging single nucleotide polymorphism selection using estimation of distribution algorithms

Eleazar Eskin, Roberto Santana, Alexander Mendiburu, 2010, Artif. Intell. Medicine.

Sentiment analysis with genetically evolved gaussian kernels

Roberto Santana, Alexander Mendiburu, José Antonio Lozano, 2019, GECCO.

Expanding variational autoencoders for learning and exploiting latent representations in search distributions

Roberto Santana, Alexander Mendiburu, Unai Garciarena, 2018, GECCO.

A review of message passing algorithms in estimation of distribution algorithms

Roberto Santana, Alexander Mendiburu, José Antonio Lozano, 2016, Natural Computing.

Symmetry in evolutionary and estimation of distribution algorithms

Roberto Santana, José Antonio Lozano, Robert I. McKay, 2013, 2013 IEEE Congress on Evolutionary Computation.

On the limits of effectiveness in estimation of distribution algorithms

Qingfu Zhang, Roberto Santana, Alexander Mendiburu, 2011, 2011 IEEE Congress of Evolutionary Computation (CEC).

An extensive analysis of the interaction between missing data types, imputation methods, and supervised classifiers

Roberto Santana, Unai Garciarena, Roberto Santana, 2017, Expert Syst. Appl..

A comparison of probabilistic-based optimization approaches for vehicle routing problems

Gia Sirbiladze, Roberto Santana, Bezhan Ghvaberidze, 2017, 2017 IEEE Congress on Evolutionary Computation (CEC).

A continuous improvement approach: Closing the loop in an engineering, procurement, and construction management environment

Roberto Santana, 2010 .

How the brain encodes meaning: Comparing word embedding and computer vision models to predict fMRI data during visual word recognition

Roberto Santana, Ning Mei, Usman Ayub Sheikh, 2019, 2019 Conference on Cognitive Computational Neuroscience.

Computing factorized approximations of Pareto-fronts using mNM-landscapes and Boltzmann distributions pdf

Roberto Santana, Alexander Mendiburu, José Antonio Lozano, 2015, ArXiv.

A review on evolutionary algorithms in Bayesian network learning and inference tasks

Concha Bielza, Pedro Larrañaga, Roberto Santana, 2013, Inf. Sci..

Interactions and dependencies in estimation of distribution algorithms

Pedro Larrañaga, Roberto Santana, José Antonio Lozano, 2005, 2005 IEEE Congress on Evolutionary Computation.

Learning Factorizations in Estimation of Distribution Algorithms Using Affinity Propagation

Pedro Larrañaga, Roberto Santana, José Antonio Lozano, 2010, Evolutionary Computation.

Estimation of distribution algorithms with affinity propagation methods

Pedro Larrañaga, Roberto Santana, Jose Antonio Lozano, 2008 .

Evolving NK-complexity for evolutionary solvers

Roberto Santana, Alexander Mendiburu, José Antonio Lozano, 2012, GECCO '12.

Protein structure prediction in simplified models with estimation of distribution algorithms

Pedro Larrañaga, Jose A. Lozano, Roberto Santana, 2005 .

Adaptive Estimation of Distribution Algorithms

Pedro Larrañaga, Roberto Santana, José Antonio Lozano, 2008, Adaptive and Multilevel Metaheuristics.

Mixtures of Generalized Mallows models for solving the quadratic assignment problem

Roberto Santana, Alexander Mendiburu, José Antonio Lozano, 2015, 2015 IEEE Congress on Evolutionary Computation (CEC).

An investigation of the selection strategies impact on MOEDAs: CMA-ES and UMDA

Aurora Trinidad Ramirez Pozo, Roberto Santana, Olacir Rodrigues Castro Junior, 2018, Appl. Soft Comput..

Automatic Design of Convolutional Neural Networks using Grammatical Evolution

Roberto Santana, Aurora Pozo, Ricardo Henrique Remes de Lima, 2019, 2019 8th Brazilian Conference on Intelligent Systems (BRACIS).

Analysis of Dominant Classes in Universal Adversarial Perturbations pdf

Jose A. Lozano, Roberto Santana, Jon Vadillo, 2020, ArXiv.

Exploring the probabilistic graphic model of a hybrid multi-objective Bayesian estimation of distribution algorithm

Carolina P. de Almeida, Ricardo Lüders, Roberto Santana, 2018, Appl. Soft Comput..

Evolutionary Approaches to Optimization Problems in Chimera Topologies

Roberto Santana, Zheng Zhu, Helmut G. Katzgraber, 2016, GECCO.

Exploring Gaps in DeepFool in Search of More Effective Adversarial Perturbations

Roberto Santana, José Antonio Lozano, Jon Vadillo, 2020, LOD.

Capturing Relationships in Multi-objective Optimization

Gian Mauricio Fritsche, Aurora Trinidad Ramirez Pozo, Roberto Santana, 2015, 2015 Brazilian Conference on Intelligent Systems (BRACIS).

Raytheon/Woods Hole Oceanographic Institute: Buoy Power Usage Simulator

Roberto Santana, Joan Liu, Christopher Nissman, 2009 .

In-depth analysis of SVM kernel learning and its components

Jose A. Lozano, Roberto Santana, Ibai Roman, 2020, Neural Computing and Applications.

Estimation of Distribution Algorithms with Kikuchi Approximations

Roberto Santana, Roberto Santana, 2005, Evolutionary Computation.

Analysis of the Complexity of the Automatic Pipeline Generation Problem

Roberto Santana, Alexander Mendiburu, Unai Garciarena, 2018, 2018 IEEE Congress on Evolutionary Computation (CEC).

Buoy Power Usage Simulator (Raytheon/Woods Hole Oceanographic Institute)

Roberto Santana, Joan Liu, Christopher Nissman, 2009 .

Estimation of distribution algorithms for the computation of innovation estimators of diffusion processes

Roberto Santana, Li-Vang Lozada-Chang, Juan Carlos Jimenez, 2018, Math. Comput. Simul..

A direct optimization approach to the P300 speller

Roberto Santana, Antonio LaTorre, José María Peña Sánchez, 2011, GECCO '11.

A genetic algorithm for a Hamiltonian path problem

Roberto Santana, Alberto Ochoa, Eunice Ponce De Leon, 1997 .

Evolving Gaussian Process kernels from elementary mathematical expressions pdf

Jose A. Lozano, Roberto Santana, Alexander Mendiburu, 2019, ArXiv.

A Factorized Distribution Algoritm for problems with integer representation

Roberto Santana, Marta Soto, Alberto Ochoa-Rodriguez, 2001 .

Comprehensive characterization of the behaviors of estimation of distribution algorithms

Roberto Santana, Alexander Mendiburu, José Antonio Lozano, 2015, Theor. Comput. Sci..

On the human evaluation of universal audio adversarial perturbations

Roberto Santana, Jon Vadillo, Roberto Santana, 2021, Comput. Secur..

When and How to Fool Explainable Models (and Humans) with Adversarial Examples pdf

Jose A. Lozano, Roberto Santana, Jon Vadillo, 2021, ArXiv.

Unified Framework for the Analysis of the Effect of Control Policies on Automatic Voltage Regulators

Roberto Santana, Iker Garcia, 2021 .

Analysis of Bayesian Network Learning Techniques for a Hybrid Multi-objective Bayesian Estimation of Distribution Algorithm: a case study on MNK Landscape

Ricardo Lüders, Roberto Santana, Myriam Regattieri Delgado, 2021, Journal of Heuristics.

Analysis of the sensitivity of the End-Of-Turn Detection task to errors generated by the Automatic Speech Recognition process

Roberto Santana, José Antonio Lozano, César Montenegro, 2021, Eng. Appl. Artif. Intell..

Redefining Neural Architecture Search of Heterogeneous Multi-Network Models by Characterizing Variation Operators and Model Components pdf

Roberto Santana, Alexander Mendiburu, Unai Garciarena, 2021, ArXiv.

Evolution of Gaussian Process kernels for machine translation post-editing effort estimation

Jose A. Lozano, Roberto Santana, Alexander Mendiburu, 2021, Annals of Mathematics and Artificial Intelligence.

The Factorized Distribution Algorithm and The Junction Tree: A Learning Perspective

Roberto Santana, Julio Madera, Marta Soto, 2005 .

Optimization by Max-Propagation Using Kikuchi Approximations

Pedro Larrañaga, Robin Höns, Jose A. Lozano, 2007 .

The Incident Edge Model

Roberto Santana, Alberto Ochoa, Eunice Ponce, 2005 .

Blocked stochastic sampling versus Estimation of Distribution Algorithms

Heinz Mühlenbein, Roberto Santana, H. Mühlenbein, 2002, Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat. No.02TH8600).