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Roberto Santana 0001

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affiliation: University of the Basque Country, San Sebastián - Donostia, Spain

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2024
[j60]
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Raphaël Cosson, Roberto Santana, Bilel Derbel, Arnaud Liefooghe:
On bi-objective combinatorial optimization with heterogeneous objectives. Eur. J. Oper. Res. 319(1): 89-101 (2024)
[j59]
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Iker García, Roberto Santana:
Filter method-based feature selection process for unattributed-identity multi-target regression problem. Expert Syst. Appl. 246: 123245 (2024)
[j58]
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Jéssica Leite, Fabiano Nhoatto, Antonio Jacob Jr., Roberto Santana, Fábio Manoel França Lobato:
Computational Tools for Neuronal Morphometric Analysis: A Systematic Search and Review. Neuroinformatics 22(3): 353-377 (2024)
[j57]
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Iker García, Roberto Santana:
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. 21(2): 1539-1548 (2024)
[j56]
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Unai Garciarena, Roberto Santana, Alexander Mendiburu:
Redefining Neural Architecture Search of Heterogeneous Multinetwork Models by Characterizing Variation Operators and Model Components. IEEE Trans. Neural Networks Learn. Syst. 35(8): 10561-10575 (2024)
2023
[j55]
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  - journals/ijon/Montenegro0L23
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César Montenegro, Roberto Santana, José Antonio Lozano:
Introducing multi-dimensional hierarchical classification: Characterization, solving strategies and performance measures. Neurocomputing 533: 141-160 (2023)
[j54]
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Jon Vadillo, Roberto Santana, José Antonio Lozano:
Extending Adversarial Attacks to Produce Adversarial Class Probability Distributions. J. Mach. Learn. Res. 24: 15:1-15:42 (2023)
2022
[j53]
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  - journals/compsec/VadilloS22
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Jon Vadillo, Roberto Santana:
On the human evaluation of universal audio adversarial perturbations. Comput. Secur. 112: 102495 (2022)
[j52]
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  - journals/gpem/LimaMPMS22
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Ricardo Henrique Remes de Lima, Dimmy Magalhães, Aurora T. R. Pozo, Alexander Mendiburu, Roberto Santana:
A grammar-based GP approach applied to the design of deep neural networks. Genet. Program. Evolvable Mach. 23(3): 427-452 (2022)
[j51]
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  - journals/jocs/MuruaGS22
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Maialen Murua, Diego Galar, Roberto Santana:
Solving the multi-objective Hamiltonian cycle problem using a Branch-and-Fix based algorithm. J. Comput. Sci. 60: 101578 (2022)
[j50]
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Jon Vadillo, Roberto Santana, José Antonio Lozano:
Analysis of dominant classes in universal adversarial perturbations. Knowl. Based Syst. 236: 107719 (2022)
2021
[j49]
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  - journals/amai/RomanSML21
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Ibai Roman, Roberto Santana, Alexander Mendiburu, José Antonio Lozano:
Evolution of Gaussian Process kernels for machine translation post-editing effort estimation. Ann. Math. Artif. Intell. 89(8-9): 835-856 (2021)
[j48]
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César Montenegro, Roberto Santana, José Antonio Lozano:
Analysis of the sensitivity of the End-Of-Turn Detection task to errors generated by the Automatic Speech Recognition process. Eng. Appl. Artif. Intell. 100: 104189 (2021)
[j47]
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Marcella S. R. Martins, Mohamed El Yafrani, Myriam Regattieri Delgado, Ricardo Lüders, Roberto Santana, Hugo Valadares Siqueira, Huseyin Gokhan Akcay, Belaïd Ahiod:
Analysis of Bayesian Network Learning Techniques for a Hybrid Multi-objective Bayesian Estimation of Distribution Algorithm: a case study on MNK Landscape. J. Heuristics 27(4): 549-573 (2021)
[j46]
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Ibai Roman, Roberto Santana, Alexander Mendiburu, José Antonio Lozano:
Evolving Gaussian process kernels from elementary mathematical expressions for time series extrapolation. Neurocomputing 462: 426-439 (2021)
[j45]
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Zochil González Arenas, Juan Carlos Jimenez, Li-Vang Lozada-Chang, Roberto Santana:
Estimation of distribution algorithms for the computation of innovation estimators of diffusion processes. Math. Comput. Simul. 187: 449-467 (2021)
[j44]
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Ibai Roman, Roberto Santana, Alexander Mendiburu, José Antonio Lozano:
In-depth analysis of SVM kernel learning and its components. Neural Comput. Appl. 33(12): 6575-6594 (2021)
[j43]
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Unai Garciarena, Alexander Mendiburu, Roberto Santana:
Towards Automatic Construction of Multi-Network Models for Heterogeneous Multi-Task Learning. ACM Trans. Knowl. Discov. Data 15(2): 33:1-33:23 (2021)
2020
[j42]
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  - journals/access/MuruasGS20
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Maialen Murua, Alfredo Suárez, Diego Galar, Roberto Santana:
Tool-Path Problem in Direct Energy Deposition Metal-Additive Manufacturing: Sequence Strategy Generation. IEEE Access 8: 91574-91585 (2020)
[j41]
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Unai Garciarena, Alexander Mendiburu, Roberto Santana:
Analysis of the transferability and robustness of GANs evolved for Pareto set approximations. Neural Networks 132: 281-296 (2020)
2019
[j40]
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Ibai Roman, Roberto Santana, Alexander Mendiburu, José Antonio Lozano:
An Experimental Study in Adaptive Kernel Selection for Bayesian Optimization. IEEE Access 7: 184294-184302 (2019)
[j39]
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Roberto Santana, Luis Martí, Mengjie Zhang:
GP-based methods for domain adaptation: using brain decoding across subjects as a test-case. Genet. Program. Evolvable Mach. 20(3): 385-411 (2019)
[j38]
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Diana Carrera, Lourenço P. C. Bandeira, Roberto Santana, José Antonio Lozano:
Detection of sand dunes on Mars using a regular vine-based classification approach. Knowl. Based Syst. 163: 858-874 (2019)
[j37]
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  - journals/mti/MontenegroLOSJL19
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César Montenegro, Asier López-Zorrilla, Javier Mikel Olaso, Roberto Santana, Raquel Justo, José Antonio Lozano, María Inés Torres:
A Dialogue-Act Taxonomy for a Virtual Coach Designed to Improve the Life of Elderly. Multimodal Technol. Interact. 3(3): 52 (2019)
2018
[j36]
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Andrei Strickler, Olacir Rodrigues Castro Junior, Aurora T. R. Pozo, Roberto Santana:
An investigation of the selection strategies impact on MOEDAs: CMA-ES and UMDA. Appl. Soft Comput. 62: 963-973 (2018)
[j35]
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Marcella S. R. Martins, Myriam Regattieri Delgado, Ricardo Lüders, Roberto Santana, Richard A. Gonçalves, Carolina P. de Almeida:
Exploring the probabilistic graphic model of a hybrid multi-objective Bayesian estimation of distribution algorithm. Appl. Soft Comput. 73: 328-343 (2018)
[j34]
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Marcella S. R. Martins, Myriam Regattieri Delgado, Ricardo Lüders, Roberto Santana, Richard A. Gonçalves, Carolina P. de Almeida:
Hybrid multi-objective Bayesian estimation of distribution algorithm: a comparative analysis for the multi-objective knapsack problem. J. Heuristics 24(1): 25-47 (2018)
[j33]
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Ekhine Irurozki, Josu Ceberio, Josean Santamaria, Roberto Santana, Alexander Mendiburu:
Algorithm 989: perm_mateda: A Matlab Toolbox of Estimation of Distribution Algorithms for Permutation-based Combinatorial Optimization Problems. ACM Trans. Math. Softw. 44(4): 47:1-47:13 (2018)
2017
[j32]
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Murilo Zangari de Souza, Roberto Santana, Alexander Mendiburu, Aurora Trinidad Ramirez Pozo:
Not all PBILs are the same: Unveiling the different learning mechanisms of PBIL variants. Appl. Soft Comput. 53: 88-96 (2017)
[j31]
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Unai Garciarena, Roberto Santana:
An extensive analysis of the interaction between missing data types, imputation methods, and supervised classifiers. Expert Syst. Appl. 89: 52-65 (2017)
[j30]
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Murilo Zangari, Aurora T. R. Pozo, Roberto Santana, Alexander Mendiburu:
A decomposition-based binary ACO algorithm for the multiobjective UBQP. Neurocomputing 246: 58-68 (2017)
[j29]
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Murilo Zangari, Alexander Mendiburu, Roberto Santana, Aurora T. R. Pozo:
Multiobjective decomposition-based Mallows Models estimation of distribution algorithm. A case of study for permutation flowshop scheduling problem. Inf. Sci. 397: 137-154 (2017)
[j28]
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  - journals/memetic/CastroPLS17
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Olacir R. Castro Jr., Aurora T. R. Pozo, José Antonio Lozano, Roberto Santana:
Transfer weight functions for injecting problem information in the multi-objective CMA-ES. Memetic Comput. 9(2): 153-180 (2017)
[j27]
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Olacir R. Castro Jr., Aurora T. R. Pozo, José Antonio Lozano, Roberto Santana:
An investigation of clustering strategies in many-objective optimization: the I-Multi algorithm as a case study. Swarm Intell. 11(2): 101-130 (2017)
2016
[j26]
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Olacir R. Castro Jr., Roberto Santana, Aurora T. R. Pozo:
C-Multi: A competent multi-swarm approach for many-objective problems. Neurocomputing 180: 68-78 (2016)
[j25]
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Roberto Santana, Alexander Mendiburu, José Antonio Lozano:
A review of message passing algorithms in estimation of distribution algorithms. Nat. Comput. 15(1): 165-180 (2016)
[j24]
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Diana Carrera, Roberto Santana, José Antonio Lozano:
Vine copula classifiers for the mind reading problem. Prog. Artif. Intell. 5(4): 289-305 (2016)
2015
[j23]
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Roberto Santana, Alexander Mendiburu, José Antonio Lozano:
Multi-view classification of psychiatric conditions based on saccades. Appl. Soft Comput. 31: 308-316 (2015)
[j22]
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Carlos Echegoyen, Roberto Santana, Alexander Mendiburu, José Antonio Lozano:
Comprehensive characterization of the behaviors of estimation of distribution algorithms. Theor. Comput. Sci. 598: 64-86 (2015)
2014
[j21]
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  - journals/tec/KarshenasSBL14
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Hossein Karshenas, Roberto Santana, Concha Bielza, Pedro Larrañaga:
Multiobjective Estimation of Distribution Algorithm Based on Joint Modeling of Objectives and Variables. IEEE Trans. Evol. Comput. 18(4): 519-542 (2014)
2013
[j20]
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Hossein Karshenas, Roberto Santana, Concha Bielza, Pedro Larrañaga:
Regularized continuous estimation of distribution algorithms. Appl. Soft Comput. 13(5): 2412-2432 (2013)
[j19]
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Carlos Echegoyen, Alexander Mendiburu, Roberto Santana, José Antonio Lozano:
On the Taxonomy of Optimization Problems Under Estimation of Distribution Algorithms. Evol. Comput. 21(3): 471-495 (2013)
[j18]
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Roberto Santana, Rubén Armañanzas, Concha Bielza, Pedro Larrañaga:
Network measures for information extraction in evolutionary algorithms. Int. J. Comput. Intell. Syst. 6(6): 1163-1188 (2013)
[j17]
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Pedro Larrañaga, Hossein Karshenas, Concha Bielza, Roberto Santana:
A review on evolutionary algorithms in Bayesian network learning and inference tasks. Inf. Sci. 233: 109-125 (2013)
2012
[j16]
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Roberto Santana, Concha Bielza, Pedro Larrañaga:
Regularized logistic regression and multiobjective variable selection for classifying MEG data. Biol. Cybern. 106(6-7): 389-405 (2012)
[j15]
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Siddhartha Shakya, Roberto Santana, José Antonio Lozano:
A Markovianity based optimisation algorithm. Genet. Program. Evolvable Mach. 13(2): 159-195 (2012)
[j14]
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Pedro Larrañaga, Hossein Karshenas, Concha Bielza, Roberto Santana:
A review on probabilistic graphical models in evolutionary computation. J. Heuristics 18(5): 795-819 (2012)
[j13]
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Carlos Echegoyen, Alexander Mendiburu, Roberto Santana, José Antonio Lozano:
Toward Understanding EDAs Based on Bayesian Networks Through a Quantitative Analysis. IEEE Trans. Evol. Comput. 16(2): 173-189 (2012)
2011
[j12]
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Li-Vang Lozada-Chang, Roberto Santana:
Univariate marginal distribution algorithm dynamics for a class of parametric functions with unitation constraints. Inf. Sci. 181(11): 2340-2355 (2011)
[j11]
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Roberto Santana, Concha Bielza, Pedro Larrañaga:
Optimizing Brain Networks Topologies Using Multi-objective Evolutionary Computation. Neuroinformatics 9(1): 3-19 (2011)
2010
[j10]
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  - journals/artmed/SantanaMZEL10
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Roberto Santana, Alexander Mendiburu, Noah Zaitlen, Eleazar Eskin, José Antonio Lozano:
Multi-marker tagging single nucleotide polymorphism selection using estimation of distribution algorithms. Artif. Intell. Medicine 50(3): 193-201 (2010)
[j9]
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Roberto Santana, Pedro Larrañaga, José Antonio Lozano:
Learning Factorizations in Estimation of Distribution Algorithms Using Affinity Propagation. Evol. Comput. 18(4): 515-546 (2010)
2009
[j8]
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Roberto Santana, Pedro Larrañaga, José Antonio Lozano:
Research topics in discrete estimation of distribution algorithms based on factorizations. Memetic Comput. 1(1): 35-54 (2009)
2008
[j7]
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  - journals/biodatamining/ArmananzasISSFLPBRBL08
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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:
A review of estimation of distribution algorithms in bioinformatics. BioData Min. 1 (2008)
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Roberto Santana, Pedro Larrañaga, José Antonio Lozano:
Combining variable neighborhood search and estimation of distribution algorithms in the protein side chain placement problem. J. Heuristics 14(5): 519-547 (2008)
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Roberto Santana, Pedro Larrañaga, José Antonio Lozano:
Protein Folding in Simplified Models With Estimation of Distribution Algorithms. IEEE Trans. Evol. Comput. 12(4): 418-438 (2008)
2007
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Roberto Santana, Pedro Larrañaga, José Antonio Lozano:
Side chain placement using estimation of distribution algorithms. Artif. Intell. Medicine 39(1): 49-63 (2007)
2006
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Pedro Larrañaga, Borja Calvo, Roberto Santana, Concha Bielza, Josu Galdiano, Iñaki Inza, José Antonio Lozano, Rubén Armañanzas, Guzmán Santafé, Aritz Pérez Martínez, Victor Robles:
Machine learning in bioinformatics. Briefings Bioinform. 7(1): 86-112 (2006)
2005
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Roberto Santana:
Estimation of Distribution Algorithms with Kikuchi Approximations. Evol. Comput. 13(1): 67-97 (2005)
2001
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Roberto Santana, Carlos Alberto Ochoa Ortíz Zezzatti, Marta Soto:
On the use of Factorized Distribution Algorithms for problems defined on graphs. Electron. Notes Discret. Math. 8: 84 (2001)

Conference and Workshop Papers

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2024
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Unai Garciarena, Alexander Mendiburu, Roberto Santana:
Factorized models in neural architecture search: Impact on computational costs and performance. IJCNN 2024: 1-8
[c88]
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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:
ENIA Chair in Artificial Intelligence and Language Technology. SEPLN (Projects and Demonstrations) 2024: 112-117
2023
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Roberto Santana, Ivan Hidalgo-Cenalmor, Unai Garciarena, Alexander Mendiburu, José Antonio Lozano:
Neuroevolutionary algorithms driven by neuron coverage metrics for semi-supervised classification. GECCO Companion 2023: 679-682
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Unai Garciarena, Roberto Santana, Alexander Mendiburu:
Analyzing the interplay between transferable GANs and gradient optimizers. GECCO Companion 2023: 1777-1784
[c85]
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Roberto Santana:
The Impact of Imputation Methods on the Classification of Household Devices from Electricity Usage Time Series. SNAMS 2023: 1-6
[c84]
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Roberto Santana, Irati Prol-Godoy, Ana Picallo-Pérez, Iñaki Inza:
Evolved Neural Networks for Building Energy Prediction. SSCI 2023: 801-806
2022
[c83]
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Raphaël Cosson, Roberto Santana, Bilel Derbel, Arnaud Liefooghe:
Multi-objective NK landscapes with heterogeneous objectives. GECCO 2022: 502-510
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Roberto Santana, Arnaud Liefooghe, Bilel Derbel:
Boomerang-shaped neural embeddings for NK landscapes. GECCO 2022: 858-866
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Roberto Santana, Siddhartha Shakya:
Evolutionary approaches with adaptive operators for the bi-objective TTP. SSCI 2022: 1202-1209
2021
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Ricardo Henrique Remes de Lima, Aurora T. R. Pozo, Alexander Mendiburu, Roberto Santana:
Automatic Design of Deep Neural Networks Applied to Image Segmentation Problems. EuroGP 2021: 98-113
[c79]
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Unai Garciarena, Nuno Lourenço, Penousal Machado, Roberto Santana, Alexander Mendiburu:
On the exploitation of neuroevolutionary information. GECCO Companion 2021: 279-280
[c78]
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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:
The EMPATHIC Virtual Coach: a demo. ICMI 2021: 848-851
[c77]
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Unai Garciarena, Jon Vadillo, Alexander Mendiburu, Roberto Santana:
Adversarial Perturbations for Evolutionary Optimization. LOD 2021: 408-422
2020
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Unai Garciarena, Alexander Mendiburu, Roberto Santana:
Envisioning the Benefits of Back-Drive in Evolutionary Algorithms. CEC 2020: 1-8
[c75]
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Ricardo Henrique Remes de Lima, Aurora T. R. Pozo, Alexander Mendiburu, Roberto Santana:
A Symmetric grammar approach for designing segmentation models. CEC 2020: 1-8
[c74]
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Roberto Santana, Siddhartha Shakya:
Dynamic programming operators for the bi-objective Traveling Thief Problem. CEC 2020: 1-8
[c73]
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César Montenegro, Roberto Santana, José Antonio Lozano:
Transfer learning in hierarchical dialogue topic classification with neural networks^*. IJCNN 2020: 1-8
[c72]
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Jon Vadillo, Roberto Santana, José Antonio Lozano:
Exploring Gaps in DeepFool in Search of More Effective Adversarial Perturbations. LOD (2) 2020: 215-227
[c71]
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Unai Garciarena, Alexander Mendiburu, Roberto Santana:
Automatic Structural Search for Multi-task Learning VALPs. OLA 2020: 25-36
[c70]
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Unai Garciarena, Roberto Santana, Alexander Mendiburu:
EvoFlow: A Python library for evolving deep neural network architectures in tensorflow. SSCI 2020: 2288-2295
[c69]
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Himadri Sikhar Khargharia, Roberto Santana, Siddhartha Shakya, Russell Ainslie, Gilbert Owusu:
Investigating RNNs for vehicle volume forecasting in service stations. SSCI 2020: 2625-2632
2019
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Ricardo Henrique Remes de Lima, Aurora T. R. Pozo, Roberto Santana:
Automatic Design of Convolutional Neural Networks using Grammatical Evolution. BRACIS 2019: 329-334
[c67]
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  - conf/gecco/CherietS19
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Abdelhakim Cheriet, Roberto Santana:
Optimizing permutation-based problems with a discrete vine-copula as a model for EDA. GECCO (Companion) 2019: 143-144
[c66]
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  - conf/gecco/RomanMSL19
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Ibai Roman, Alexander Mendiburu, Roberto Santana, José Antonio Lozano:
Sentiment analysis with genetically evolved gaussian kernels. GECCO 2019: 1328-1337
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  - conf/lion/RomanSML19
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Ibai Roman, Roberto Santana, Alexander Mendiburu, José Antonio Lozano:
Evolving Gaussian Process Kernels for Translation Editing Effort Estimation. LION 2019: 304-318
[c64]
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Ibai Roman, Alexander Mendiburu, Roberto Santana, José Antonio Lozano:
Bayesian Optimization Approaches for Massively Multi-modal Problems. LION 2019: 383-397
[c63]
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  - conf/or/MuruaGS19
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Maialen Murua, Diego Galar, Roberto Santana:
Adaptation of a Branching Algorithm to Solve the Multi-Objective Hamiltonian Cycle Problem. OR 2019: 231-237
[c62]
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César Montenegro, Roberto Santana, José Antonio Lozano:
Data generation approaches for topic classification in multilingual spoken dialog systems. PETRA 2019: 211-217
[c61]
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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:
The EMPATHIC project: mid-term achievements. PETRA 2019: 629-638
2018
[c60]
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Unai Garciarena, Roberto Santana, Alexander Mendiburu:
Analysis of the Complexity of the Automatic Pipeline Generation Problem. CEC 2018: 1-8
[c59]
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  - conf/cec/MartinsYSDLA18
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Marcella S. R. Martins, Mohamed El Yafrani, Roberto Santana, Myriam Regattieri Delgado, Ricardo Lüders, Belaïd Ahiod:
On the Performance of Multi-Objective Estimation of Distribution Algorithms for Combinatorial Problems. CEC 2018: 1-8
[c58]
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Abdelhakim Cheriet, Roberto Santana:
Modeling dependencies between decision variables and objectives with copula models. GECCO (Companion) 2018: 175-176
[c57]
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Unai Garciarena, Roberto Santana, Alexander Mendiburu:
Evolved GANs for generating pareto set approximations. GECCO 2018: 434-441
[c56]
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  - conf/gecco/GarciarenaSM18a
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Unai Garciarena, Roberto Santana, Alexander Mendiburu:
Expanding variational autoencoders for learning and exploiting latent representations in search distributions. GECCO 2018: 849-856
[c55]
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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:
EMPATHIC, Expressive, Advanced Virtual Coach to Improve Independent Healthy-Life-Years of the Elderdy. IberSPEECH 2018: 172-173
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Diana Carrera, Roberto Santana, José Antonio Lozano:
The Relationship Between Graphical Representations of Regular Vine Copulas and Polytrees. IPMU (3) 2018: 678-690
2017
[c53]
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Marcella Scoczynski Ribeiro Martins, Myriam Regattieri Delgado, Ricardo Lüders, Roberto Santana, Richard A. Gonçalves, Carolina P. de Almeida:
Probabilistic Analysis of Pareto Front Approximation for a Hybrid Multi-objective Bayesian Estimation of Distribution Algorithm. BRACIS 2017: 384-389
[c52]
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Olacir R. Castro Jr., Roberto Santana, José Antonio Lozano, Aurora T. R. Pozo:
Combining CMA-ES and MOEA/DD for many-objective optimization. CEC 2017: 1451-1458
[c51]
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Vidal D. Fontoura, Aurora T. R. Pozo, Roberto Santana:
Automated design of hyper-heuristics components to solve the PSP problem with HP model. CEC 2017: 1848-1855
[c50]
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Roberto Santana, Gia Sirbiladze, Bezhan Ghvaberidze, Bidzina Matsaberidze:
A comparison of probabilistic-based optimization approaches for vehicle routing problems. CEC 2017: 2606-2613
[c49]
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Roberto Santana, José Antonio Lozano:
Different scenarios for survival analysis of evolutionary algorithms. GECCO 2017: 825-832
2016
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Andrei Strickler, Olacir Rodrigues Castro Junior, Aurora T. R. Pozo, Roberto Santana:
Investigating Selection Strategies in Multi-objective Probabilistic Model Based Algorithms. BRACIS 2016: 7-12
[c47]
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Stjepan Picek, Roberto Santana, Domagoj Jakobovic:
Maximal nonlinearity in balanced boolean functions with even number of inputs, revisited. CEC 2016: 3222-3229
[c46]
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Marcella S. R. Martins, Myriam Regattieri de Biase da Silva Delgado, Roberto Santana, Ricardo Lüders, Richard Aderbal Gonçalves, Carolina Paula de Almeida:
HMOBEDA: Hybrid Multi-objective Bayesian Estimation of Distribution Algorithm. GECCO 2016: 357-364
[c45]
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Roberto Santana, Zheng Zhu, Helmut G. Katzgraber:
Evolutionary Approaches to Optimization Problems in Chimera Topologies. GECCO 2016: 397-404
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Murilo Zangari, Roberto Santana, Alexander Mendiburu, Aurora T. R. Pozo:
On the Design of Hard mUBQP Instances. GECCO 2016: 421-428
[c43]
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  - conf/gecco/GarciarenaS16
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Unai Garciarena, Roberto Santana:
Evolutionary Optimization of Compiler Flag Selection by Learning and Exploiting Flags Interactions. GECCO (Companion) 2016: 1159-1166
2015
[c42]
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  - conf/bracis/FritscheSPS15
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Gian Mauricio Fritsche, Andrei Strickler, Aurora T. R. Pozo, Roberto Santana:
Capturing Relationships in Multi-objective Optimization. BRACIS 2015: 222-227
[c41]
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Roberto Santana, Alexander Mendiburu, José Antonio Lozano:
Evolving MNK-landscapes with structural constraints. CEC 2015: 1364-1371
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Josu Ceberio, Roberto Santana, Alexander Mendiburu, José Antonio Lozano:
Mixtures of Generalized Mallows models for solving the quadratic assignment problem. CEC 2015: 2050-2057
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Stjepan Picek, Robert I. McKay, Roberto Santana, Tom Gedeon:
Fighting the Symmetries: The Structure of Cryptographic Boolean Function Spaces. GECCO 2015: 457-464
[c38]
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Roberto Santana, Alexander Mendiburu, José Antonio Lozano:
Multi-objective NM-Landscapes. GECCO (Companion) 2015: 1477-1478
2014
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Roberto Santana, Ross B. McDonald, Helmut G. Katzgraber:
A Probabilistic Evolutionary Optimization Approach to Compute Quasiparticle Braids. SEAL 2014: 13-24
[c36]
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Roberto Santana, Alexander Mendiburu, José Antonio Lozano:
Customized Selection in Estimation of Distribution Algorithms. SEAL 2014: 94-105
2013
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Roberto Santana, Robert I. McKay, José Antonio Lozano:
Symmetry in evolutionary and estimation of distribution algorithms. IEEE Congress on Evolutionary Computation 2013: 2053-2060
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Roberto Santana, Alexander Mendiburu, José Antonio Lozano:
Critical Issues in Model-Based Surrogate Functions in Estimation of Distribution Algorithms. SEMCCO (2) 2013: 1-13
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Roberto Santana, Alexander Mendiburu, José Antonio Lozano:
Message Passing Methods for Estimation of Distribution Algorithms Based on Markov Networks. SEMCCO (2) 2013: 419-430
2012
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Roberto Santana, Alexander Mendiburu, José Antonio Lozano:
Structural transfer using EDAs: An application to multi-marker tagging SNP selection. IEEE Congress on Evolutionary Computation 2012: 1-8
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Roberto Santana, Alexander Mendiburu, José Antonio Lozano:
An analysis of the use of probabilistic modeling for synaptic connectivity prediction from genomic data. IEEE Congress on Evolutionary Computation 2012: 1-8
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Roberto Santana, Laurent Bonnet, Jozef Legény, Anatole Lécuyer:
Introducing the use of model-based evolutionary algorithms for EEG-based motor imagery classification. GECCO 2012: 1159-1166
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Roberto Santana, Alexander Mendiburu, José Antonio Lozano:
Evolving NK-complexity for evolutionary solvers. GECCO (Companion) 2012: 1473-1474
[c28]
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Roberto Santana, Concha Bielza, Pedro Larrañaga:
Maximizing the number of polychronous groups in spiking networks. GECCO (Companion) 2012: 1499-1500
2011
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Carlos Echegoyen, Qingfu Zhang, Alexander Mendiburu, Roberto Santana, José Antonio Lozano:
On the limits of effectiveness in estimation of distribution algorithms. IEEE Congress on Evolutionary Computation 2011: 1573-1580
[c26]
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Antonio LaTorre, Santiago Muelas, José María Peña Sánchez, Roberto Santana, Ángel Merchán-Pérez, José-Rodrigo Rodríguez:
A differential evolution algorithm for the detection of synaptic vesicles. IEEE Congress on Evolutionary Computation 2011: 1687-1694
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Hossein Karshenas, Roberto Santana, Concha Bielza, Pedro Larrañaga:
Multi-objective Optimization with Joint Probabilistic Modeling of Objectives and Variables. EMO 2011: 298-312
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Roberto Santana, Hossein Karshenas, Concha Bielza, Pedro Larrañaga:
Quantitative genetics in multi-objective optimization algorithms: from useful insights to effective methods. GECCO (Companion) 2011: 91-92
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Roberto Santana, Concha Bielza, Pedro Larrañaga:
Affinity propagation enhanced by estimation of distribution algorithms. GECCO 2011: 331-338
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Roberto Santana, Hossein Karshenas, Concha Bielza, Pedro Larrañaga:
Regularized k-order markov models in EDAs. GECCO 2011: 593-600
[c21]
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Roberto Santana:
Estimation of distribution algorithms: from available implementations to potential developments. GECCO (Companion) 2011: 679-686
[c20]
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Roberto Santana, Santiago Muelas, Antonio LaTorre, José María Peña Sánchez:
A direct optimization approach to the P300 speller. GECCO 2011: 1747-1754
2010
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Alfredo Cuesta-Infante, Roberto Santana, José Ignacio Hidalgo, Concha Bielza, Pedro Larrañaga:
Bivariate empirical and n-variate Archimedean copulas in estimation of distribution algorithms. IEEE Congress on Evolutionary Computation 2010: 1-8
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Carlos Echegoyen, Alexander Mendiburu, Roberto Santana, José Antonio Lozano:
Estimation of Bayesian networks algorithms in a class of complex networks. IEEE Congress on Evolutionary Computation 2010: 1-8
[c17]
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Roberto Santana, Concha Bielza, Pedro Larrañaga:
Using Probabilistic Dependencies Improves the Search of Conductance-Based Compartmental Neuron Models. EvoBIO 2010: 170-181
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Roberto Santana, Concha Bielza, Pedro Larrañaga:
Synergies between Network-Based Representation and Probabilistic Graphical Models for Classification, Inference and Optimization Problems in Neuroscience. IEA/AIE (3) 2010: 149-158
2009
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Carlos Echegoyen, Alexander Mendiburu, Roberto Santana, José Antonio Lozano:
Analyzing the probability of the optimum in EDAs based on Bayesian networks. IEEE Congress on Evolutionary Computation 2009: 1652-1659
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Roberto Santana, Concha Bielza, José Antonio Lozano, Pedro Larrañaga:
Mining probabilistic models learned by EDAs in the optimization of multi-objective problems. GECCO 2009: 445-452
2008
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Roberto Santana, Pedro Larrañaga, José Antonio Lozano:
Component weighting functions for adaptive search with EDAs. IEEE Congress on Evolutionary Computation 2008: 4066-4073
[c12]
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Siddhartha Shakya, Roberto Santana:
An EDA based on local markov property and gibbs sampling. GECCO 2008: 475-476
[c11]
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Roberto Santana, Pedro Larrañaga, José Antonio Lozano:
Adding Probabilistic Dependencies to the Search of Protein Side Chain Configurations Using EDAs. PPSN 2008: 1120-1129
2007
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Carlos Echegoyen, José Antonio Lozano, Roberto Santana, Pedro Larrañaga:
Exact Bayesian network learning in estimation of distribution algorithms. IEEE Congress on Evolutionary Computation 2007: 1051-1058
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Roberto Santana, Pedro Larrañaga, José Antonio Lozano:
The Role of a Priori Information in the Minimization of Contact Potentials by Means of Estimation of Distribution Algorithms. EvoBIO 2007: 247-257
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Alexander Mendiburu, Roberto Santana, José Antonio Lozano, Endika Bengoetxea:
A parallel framework for loopy belief propagation. GECCO (Companion) 2007: 2843-2850
2006
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Roberto Santana, Pedro Larrañaga, José Antonio Lozano:
Mixtures of Kikuchi Approximations. ECML 2006: 365-376
2005
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Roberto Santana, Pedro Larrañaga, José Antonio Lozano:
Interactions and dependencies in estimation of distribution algorithms. Congress on Evolutionary Computation 2005: 1418-1425
2004
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Roberto Santana, Pedro Larrañaga, José Antonio Lozano:
Protein Folding in 2-Dimensional Lattices with Estimation of Distribution Algorithms. ISBMDA 2004: 388-398
2003
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Roberto Santana:
A Markov Network Based Factorized Distribution Algorithm for Optimization. ECML 2003: 337-348
2002
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Roberto Santana, Heinz Mühlenbein:
Blocked stochastic sampling versus Estimation of Distribution Algorithms. IEEE Congress on Evolutionary Computation 2002: 1390-1395
2000
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Francisco Baptista Pereira, Penousal Machado, Ernesto Costa, Amílcar Cardoso, Alberto Ochoa-Rodríguez, Roberto Santana, Marta Soto:
Too busy to learn [individual learning interaction with evolutionary algorithm in Busy Beaver problem]. CEC 2000: 720-727
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Roberto Santana, Alberto Ochoa-Rodríguez, Marta Soto, Francisco Baptista Pereira, Penousal Machado, Ernesto Costa, Amílcar Cardoso:
Probabilistic Evolution and the Busy Beaver Problem. GECCO 2000: 380

Parts in Books or Collections

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2008
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Carlos Echegoyen, Roberto Santana, José Antonio Lozano, Pedro Larrañaga:
The Impact of Exact Probabilistic Learning Algorithms in EDAs Based on Bayesian Networks. Linkage in Evolutionary Computation 2008: 109-139
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Roberto Santana, Pedro Larrañaga, José Antonio Lozano:
Adaptive Estimation of Distribution Algorithms. Adaptive and Multilevel Metaheuristics 2008: 177-197

Informal and Other Publications

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2024
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Imanol Echeverria, Maialen Murua, Roberto Santana:
Leveraging Constraint Programming in a Deep Learning Approach for Dynamically Solving the Flexible Job-Shop Scheduling Problem. CoRR abs/2403.09249 (2024)
[i28]
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Jon Vadillo, Roberto Santana, José Antonio Lozano, Marta Kwiatkowska:
Uncertainty-Aware Explanations Through Probabilistic Self-Explainable Neural Networks. CoRR abs/2403.13740 (2024)
[i27]
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Rodrigo Carmo Terin, Zochil González Arenas, Roberto Santana:
Identifying phase transitions in physical systems with neural networks: a neural architecture search perspective. CoRR abs/2404.15118 (2024)
[i26]
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Roberto Santana, Mauricio Romero Sicre:
Optimal synthesis embeddings. CoRR abs/2406.10259 (2024)
[i25]
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Alexander Olza, David Soto, Roberto Santana:
Domain Adaptation-Enhanced Searchlight: Enabling brain decoding from visual perception to mental imagery. CoRR abs/2408.01163 (2024)
2023
[i24]
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Andrea Bonfanti, Roberto Santana, Marco Ellero, Babak Gholami:
On the Hyperparameters influencing a PINN's generalization beyond the training domain. CoRR abs/2302.07557 (2023)
[i23]
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Roberto Santana, Ivan Hidalgo-Cenalmor, Unai Garciarena, Alexander Mendiburu, José Antonio Lozano:
Neuroevolutionary algorithms driven by neuron coverage metrics for semi-supervised classification. CoRR abs/2303.02801 (2023)
[i22]
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Arkaitz Bidaurrazaga, Aritz Pérez, Roberto Santana:
Structural Restricted Boltzmann Machine for image denoising and classification. CoRR abs/2306.09628 (2023)
[i21]
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Imanol Echeverria, Maialen Murua, Roberto Santana:
Solving large flexible job shop scheduling instances by generating a diverse set of scheduling policies with deep reinforcement learning. CoRR abs/2310.15706 (2023)
2021
[i20]
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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:
The EMPATHIC Project: Mid-term Achievements. CoRR abs/2105.01878 (2021)
[i19]
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Unai Garciarena, Nuno Lourenço, Penousal Machado, Roberto Santana, Alexander Mendiburu:
On the Exploitation of Neuroevolutionary Information: Analyzing the Past for a More Efficient Future. CoRR abs/2105.12836 (2021)
[i18]
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Unai Garciarena, Roberto Santana, Alexander Mendiburu:
Redefining Neural Architecture Search of Heterogeneous Multi-Network Models by Characterizing Variation Operators and Model Components. CoRR abs/2106.08972 (2021)
[i17]
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Jon Vadillo, Roberto Santana, José Antonio Lozano:
When and How to Fool Explainable Models (and Humans) with Adversarial Examples. CoRR abs/2107.01943 (2021)
2020
[i16]
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  - journals/corr/abs-2001-08444
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Jon Vadillo, Roberto Santana:
On the human evaluation of audio adversarial examples. CoRR abs/2001.08444 (2020)
[i15]
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  - journals/corr/abs-2004-06383
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Jon Vadillo, Roberto Santana, José Antonio Lozano:
Extending Adversarial Attacks to Produce Adversarial Class Probability Distributions. CoRR abs/2004.06383 (2020)
[i14]
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  - journals/corr/abs-2012-14352
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Jon Vadillo, Roberto Santana, José Antonio Lozano:
Analysis of Dominant Classes in Universal Adversarial Perturbations. CoRR abs/2012.14352 (2020)
2019
[i13]
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  - journals/corr/abs-1903-09171
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Unai Garciarena, Alexander Mendiburu, Roberto Santana:
Towards automatic construction of multi-network models for heterogeneous multi-task learning. CoRR abs/1903.09171 (2019)
[i12]
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  - journals/corr/abs-1904-00977
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Ibai Roman, Alexander Mendiburu, Roberto Santana, José Antonio Lozano:
Sentiment analysis with genetically evolved Gaussian kernels. CoRR abs/1904.00977 (2019)
[i11]
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  - journals/corr/abs-1910-05173
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Ibai Roman, Roberto Santana, Alexander Mendiburu, José Antonio Lozano:
Evolving Gaussian Process kernels from elementary mathematical expressions. CoRR abs/1910.05173 (2019)
[i10]
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  - journals/corr/abs-1911-10182
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Jon Vadillo, Roberto Santana:
Universal adversarial examples in speech command classification. CoRR abs/1911.10182 (2019)
2018
[i9]
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  - journals/corr/abs-1801-04407
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Unai Garciarena, Alexander Mendiburu, Roberto Santana:
Towards a more efficient representation of imputation operators in TPOT. CoRR abs/1801.04407 (2018)
[i8]
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  - journals/corr/abs-1806-09935
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Marcella S. R. Martins, Mohamed El Yafrani, Roberto Santana, Myriam Regattieri Delgado, Ricardo Lüders, Belaïd Ahiod:
On the performance of multi-objective estimation of distribution algorithms for combinatorial problems. CoRR abs/1806.09935 (2018)
2017
[i7]
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  - journals/corr/Santana17
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Roberto Santana:
Reproducing and learning new algebraic operations on word embeddings using genetic programming. CoRR abs/1702.05624 (2017)
[i6]
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  - journals/corr/GarciarenaSM17
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Unai Garciarena, Roberto Santana, Alexander Mendiburu:
Evolving imputation strategies for missing data in classification problems with TPOT. CoRR abs/1706.01120 (2017)
[i5]
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  - journals/corr/Santana17aa
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Roberto Santana:
Gray-box optimization and factorized distribution algorithms: where two worlds collide. CoRR abs/1707.03093 (2017)
2016
[i4]
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  - journals/corr/SantanaZK16
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Roberto Santana, Zheng Zhu, Helmut G. Katzgraber:
Evolutionary Approaches to Optimization Problems in Chimera Topologies. CoRR abs/1608.05105 (2016)
2015
[i3]
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  - journals/corr/SouzaSPM15
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Murilo Zangari de Souza, Roberto Santana, Aurora Trinidad Ramirez Pozo, Alexander Mendiburu:
MOEA/D-GM: Using probabilistic graphical models in MOEA/D for solving combinatorial optimization problems. CoRR abs/1511.05625 (2015)
[i2]
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  - journals/corr/SantanaML15
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Roberto Santana, Alexander Mendiburu, José Antonio Lozano:
Computing factorized approximations of Pareto-fronts using mNM-landscapes and Boltzmann distributions. CoRR abs/1512.03466 (2015)
2014
[i1]
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  - journals/corr/SantanaMK14
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Roberto Santana, Ross B. McDonald, Helmut G. Katzgraber:
A probabilistic evolutionary optimization approach to compute quasiparticle braids. CoRR abs/1410.0602 (2014)

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