Unai Garciarena

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 22

Top Topics

Imputation Methods

Neural Architecture

Top Venues

GECCO Companion

Publications

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) (2024)
Unai Garciarena, Roberto Santana, Alexander Mendiburu
Analyzing the interplay between transferable GANs and gradient optimizers. GECCO Companion (2023)
Roberto Santana, Ivan Hidalgo-Cenalmor, Unai Garciarena, Alexander Mendiburu, José Antonio Lozano
Neuroevolutionary algorithms driven by neuron coverage metrics for semi-supervised classification. CoRR (2023)
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)
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 (2021)
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) (2021)
Unai Garciarena, Jon Vadillo, Alexander Mendiburu, Roberto Santana
Adversarial Perturbations for Evolutionary Optimization. LOD (2021)
Iker Esnaola-Gonzalez, Unai Garciarena, Jesús Bermúdez
Semantic Technologies Towards Missing Values Imputation. IEA/AIE (1) (2021)
Unai Garciarena, Nuno Lourenço, Penousal Machado, Roberto Santana, Alexander Mendiburu
On the exploitation of neuroevolutionary information. GECCO Companion (2021)
Unai Garciarena, Roberto Santana, Alexander Mendiburu
Redefining Neural Architecture Search of Heterogeneous Multi-Network Models by Characterizing Variation Operators and Model Components. CoRR (2021)
Unai Garciarena, Alexander Mendiburu, Roberto Santana
Analysis of the transferability and robustness of GANs evolved for Pareto set approximations. Neural Networks 132 (2020)
Unai Garciarena, Roberto Santana, Alexander Mendiburu
EvoFlow: A Python library for evolving deep neural network architectures in tensorflow. SSCI (2020)
Unai Garciarena, Alexander Mendiburu, Roberto Santana
Automatic Structural Search for Multi-task Learning VALPs. OLA (2020)
Unai Garciarena, Alexander Mendiburu, Roberto Santana
Envisioning the Benefits of Back-Drive in Evolutionary Algorithms. CEC (2020)
Unai Garciarena, Alexander Mendiburu, Roberto Santana
Towards automatic construction of multi-network models for heterogeneous multi-task learning. CoRR (2019)
Unai Garciarena, Roberto Santana, Alexander Mendiburu
Expanding variational autoencoders for learning and exploiting latent representations in search distributions. GECCO (2018)
Unai Garciarena, Roberto Santana, Alexander Mendiburu
Evolved GANs for generating pareto set approximations. GECCO (2018)
Unai Garciarena, Roberto Santana, Alexander Mendiburu
Analysis of the Complexity of the Automatic Pipeline Generation Problem. CEC (2018)
Unai Garciarena, Alexander Mendiburu, Roberto Santana
Towards a more efficient representation of imputation operators in TPOT. CoRR (2018)
Unai Garciarena, Roberto Santana, Alexander Mendiburu
Evolving imputation strategies for missing data in classification problems with TPOT. CoRR (2017)
Unai Garciarena, Roberto Santana
An extensive analysis of the interaction between missing data types, imputation methods, and supervised classifiers. Expert Syst. Appl. 89 (2017)
Unai Garciarena, Roberto Santana
Evolutionary Optimization of Compiler Flag Selection by Learning and Exploiting Flags Interactions. GECCO (Companion) (2016)