Unai Garciarena
Unai Garciarena
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
412017
Evolved GANs for generating Pareto set approximations
U Garciarena, R Santana, A Mendiburu
Proceedings of the Genetic and Evolutionary Computation Conference, 434-441, 2018
152018
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
122018
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
112016
An investigation of imputation methods for discrete databases and multi-variate time series
U Garciarena
Masters thesis, University of the Basque Country, 2016. http://hdl. handle …, 2016
62016
Evolving imputation strategies for missing data in classification problems with TPOT
U Garciarena, R Santana, A Mendiburu
arXiv preprint arXiv:1706.01120, 2017
52017
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
42018
Towards automatic construction of multi-network models for heterogeneous multi-task learning
U Garciarena, A Mendiburu, R Santana
arXiv preprint arXiv:1903.09171, 2019
22019
Towards a more efficient representation of imputation operators in TPOT
U Garciarena, A Mendiburu, R Santana
arXiv preprint arXiv:1801.04407, 2018
22018
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
12020
Automatic Structural Search for Multi-task Learning VALPs
U Garciarena, A Mendiburu, R Santana
International Conference on Optimization and Learning, 25-36, 2020
12020
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
2020
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
2020
An investigation of imputation methods for discrete databases and multi-variate time series
U Garciarena Hualde
2016
Prototipo para la integración de datos públicos
U Garciarena Hualde
2015
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Articles 1–15