Unai Garciarena

Orcid: 0000-0003-2425-8340

According to our database1, Unai Garciarena authored at least 19 papers between 2016 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

On csauthors.net:

Bibliography

2023
Analyzing the interplay between transferable GANs and gradient optimizers.
Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

Neuroevolutionary algorithms driven by neuron coverage metrics for semi-supervised classification.
Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

2021
Towards Automatic Construction of Multi-Network Models for Heterogeneous Multi-Task Learning.
ACM Trans. Knowl. Discov. Data, 2021

Redefining Neural Architecture Search of Heterogeneous Multi-Network Models by Characterizing Variation Operators and Model Components.
CoRR, 2021

On the Exploitation of Neuroevolutionary Information: Analyzing the Past for a More Efficient Future.
CoRR, 2021

Adversarial Perturbations for Evolutionary Optimization.
Proceedings of the Machine Learning, Optimization, and Data Science, 2021

Semantic Technologies Towards Missing Values Imputation.
Proceedings of the Advances and Trends in Artificial Intelligence. Artificial Intelligence Practices, 2021

On the exploitation of neuroevolutionary information.
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

2020
Analysis of the transferability and robustness of GANs evolved for Pareto set approximations.
Neural Networks, 2020

EvoFlow: A Python library for evolving deep neural network architectures in tensorflow.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

Automatic Structural Search for Multi-task Learning VALPs.
Proceedings of the Optimization and Learning - Third International Conference, 2020

Envisioning the Benefits of Back-Drive in Evolutionary Algorithms.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020

2018
Towards a more efficient representation of imputation operators in TPOT.
CoRR, 2018

Expanding variational autoencoders for learning and exploiting latent representations in search distributions.
Proceedings of the Genetic and Evolutionary Computation Conference, 2018

Evolved GANs for generating pareto set approximations.
Proceedings of the Genetic and Evolutionary Computation Conference, 2018

Analysis of the Complexity of the Automatic Pipeline Generation Problem.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

2017
An extensive analysis of the interaction between missing data types, imputation methods, and supervised classifiers.
Expert Syst. Appl., 2017

Evolving imputation strategies for missing data in classification problems with TPOT.
CoRR, 2017

2016
Evolutionary Optimization of Compiler Flag Selection by Learning and Exploiting Flags Interactions.
Proceedings of the Genetic and Evolutionary Computation Conference, 2016


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