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03/05/2023
Neuroevolutionary algorithms driven by neuron coverage metrics for semi-supervised classification
In some machine learning applications the availability of labeled instan...
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06/16/2021
Redefining Neural Architecture Search of Heterogeneous Multi-Network Models by Characterizing Variation Operators and Model Components
With neural architecture search methods gaining ground on manually desig...
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05/26/2021
On the Exploitation of Neuroevolutionary Information: Analyzing the Past for a More Efficient Future
Neuroevolutionary algorithms, automatic searches of neural network struc...
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03/21/2019
Towards automatic construction of multi-network models for heterogeneous multi-task learning
Multi-task learning, as it is understood nowadays, consists of using one...
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01/13/2018
Towards a more efficient representation of imputation operators in TPOT
Automated Machine Learning encompasses a set of meta-algorithms intended...
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06/04/2017