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Unai Garciarena Hualde
Unai Garciarena Hualde
Intelligent Systems Group ISG, University of the Basque Country UPV/EHU
Verified email at ehu.es - Homepage
Title
Cited by
Cited by
Year
An extensive analysis of the interaction between missing data types, imputation methods, and supervised classifiers
U Garciarena, R Santana
Expert Systems with Applications 89, 52-65, 2017
1392017
Evolved GANs for generating Pareto set approximations
U Garciarena, R Santana, A Mendiburu
Proceedings of the genetic and evolutionary computation conference, 434-441, 2018
482018
Evolutionary optimization of compiler flag selection by learning and exploiting flags interactions
U Garciarena, R Santana
Proceedings of the 2016 on Genetic and Evolutionary Computation Conference …, 2016
372016
Analysis of the Complexity of the Automatic Pipeline Generation Problem
U Garciarena, R Santana, A Mendiburu
2018 IEEE Congress on Evolutionary Computation (CEC), 1841-1848, 2018
222018
Expanding variational autoencoders for learning and exploiting latent representations in search distributions
U Garciarena, R Santana, A Mendiburu
Proceedings of the Genetic and Evolutionary Computation Conference, 849-856, 2018
192018
Analysis of the transferability and robustness of GANs evolved for Pareto set approximations
U Garciarena, A Mendiburu, R Santana
Neural Networks 132, 281-296, 2020
142020
Evolving imputation strategies for missing data in classification problems with TPOT
U Garciarena, R Santana, A Mendiburu
arXiv preprint arXiv:1706.01120, 2017
122017
EvoFlow: A Python library for evolving deep neural network architectures in tensorflow
U Garciarena, R Santana, A Mendiburu
2020 IEEE Symposium Series on Computational Intelligence (SSCI), 2288-2295, 2020
62020
An investigation of imputation methods for discrete databases and multi-variate time series
U Garciarena
M. Sci. Thesis University of the Basque Country, Spain, 2016
62016
Towards a more efficient representation of imputation operators in TPOT
U Garciarena, A Mendiburu, R Santana
arXiv preprint arXiv:1801.04407, 2018
52018
Towards automatic construction of multi-network models for heterogeneous multi-task learning
U Garciarena, A Mendiburu, R Santana
ACM Transactions on Knowledge Discovery from Data (TKDD) 15 (2), 1-23, 2021
42021
Adversarial perturbations for evolutionary optimization
U Garciarena, J Vadillo, A Mendiburu, R Santana
International Conference on Machine Learning, Optimization, and Data Science …, 2021
32021
On the exploitation of neuroevolutionary information
U Garciarena, N Lourenço, P Machado, R Santana, A Mendiburu
Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2021
32021
Envisioning the benefits of back-drive in evolutionary algorithms
U Garciarena, A Mendiburu, R Santana
2020 IEEE Congress on Evolutionary Computation (CEC), 1-8, 2020
32020
Neuroevolutionary algorithms driven by neuron coverage metrics for semi-supervised classification
R Santana, I Hidago-Cenalmor, U Garciarena, A Mendiburu, JA Lozano
Proceedings of the Companion Conference on Genetic and Evolutionary …, 2023
22023
Redefining Neural Architecture Search of Heterogeneous Multinetwork Models by Characterizing Variation Operators and Model Components
U Garciarena, R Santana, A Mendiburu
IEEE Transactions on Neural Networks and Learning Systems, 2023
22023
Semantic Technologies Towards Missing Values Imputation
I Esnaola-Gonzalez, U Garciarena, J Bermúdez
Advances and Trends in Artificial Intelligence. Artificial Intelligence …, 2021
22021
Automatic Structural Search for Multi-task Learning VALPs
U Garciarena, A Mendiburu, R Santana
International Conference on Optimization and Learning, 25-36, 2020
22020
On the Exploitation of Neuroevolutionary Information: Analyzing the Past for a More Efficient Future
U Garciarena, N Lourenço, P Machado, R Santana, A Mendiburu
arXiv preprint arXiv:2105.12836, 2021
12021
Factorized models in neural architecture search: Impact on computational costs and performance
U Garciarena, A Mendiburu, R Santana
2024 International Joint Conference on Neural Networks (IJCNN), 1-8, 2024
2024
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