JAVIER
POYATOS AMADOR
Investigador en el periodo 2024-2024
Publicaciones (8) Publicaciones de JAVIER POYATOS AMADOR
2024
2023
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EvoPruneDeepTL: An evolutionary pruning model for transfer learning based deep neural networks
Neural Networks, Vol. 158, pp. 59-82
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Multiobjective evolutionary pruning of Deep Neural Networks with Transfer Learning for improving their performance and robustness
Applied Soft Computing, Vol. 147
2022
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Optimización inspirada en la naturaleza y en la biología: lo bueno, lo malo, lo feo y lo esperanzador
Revista DYNA, Vol. 97, Núm. 2, pp. 114-117
2021
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A prescription of methodological guidelines for comparing bio-inspired optimization algorithms
Swarm and Evolutionary Computation, Vol. 67
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Lights and shadows in Evolutionary Deep Learning: Taxonomy, critical methodological analysis, cases of study, learned lessons, recommendations and challenges
Information Fusion, Vol. 67, pp. 161-194
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More is not Always Better: Insights from a Massive Comparison of Meta-heuristic Algorithms over Real-Parameter Optimization Problems
2021 IEEE Symposium Series on Computational Intelligence, SSCI 2021 - Proceedings
2020
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Comprehensive Taxonomies of Nature- and Bio-inspired Optimization: Inspiration Versus Algorithmic Behavior, Critical Analysis Recommendations
Cognitive Computation, Vol. 12, Núm. 5, pp. 897-939