| Comprehensive taxonomies of nature-and bio-inspired optimization: Inspiration versus algorithmic behavior, critical analysis recommendations D Molina, J Poyatos, JD Ser, S García, A Hussain, F Herrera Cognitive Computation 12, 897-939, 2020 | 172 | 2020 |
| A prescription of methodological guidelines for comparing bio-inspired optimization algorithms A LaTorre, D Molina, E Osaba, J Poyatos, J Del Ser, F Herrera Swarm and Evolutionary Computation 67, 100973, 2021 | 69 | 2021 |
| Lights and shadows in Evolutionary Deep Learning: Taxonomy, critical methodological analysis, cases of study, learned lessons, recommendations and challenges AD Martinez, J Del Ser, E Villar-Rodriguez, E Osaba, J Poyatos, S Tabik, ... Information Fusion 67, 161-194, 2021 | 31 | 2021 |
| EvoPruneDeepTL: An evolutionary pruning model for transfer learning based deep neural networks J Poyatos, D Molina, AD Martinez, J Del Ser, F Herrera Neural Networks 158, 59-82, 2023 | 10 | 2023 |
| More is not always better: insights from a massive comparison of meta-heuristic algorithms over real-parameter optimization problems J Del Ser, E Osaba, AD Martinez, MN Bilbao, J Poyatos, D Molina, ... 2021 IEEE Symposium Series on Computational Intelligence (SSCI), 1-7, 2021 | 6 | 2021 |
| Nature-and bio-inspired optimization: the good, the bad, the ugly and the hopeful D Molina Cabrera, J POYATOS AMADOR, E OSABA ICEDO, ... DYNA Ingeniería e Industria, 2022 | 2 | 2022 |
| Multiobjective evolutionary pruning of Deep Neural Networks with Transfer Learning for improving their performance and robustness J Poyatos, D Molina, A Martínez-Seras, J Del Ser, F Herrera Applied Soft Computing 147, 110757, 2023 | 1 | 2023 |
| General Purpose Artificial Intelligence Systems (GPAIS): Properties, Definition, Taxonomy, Open Challenges and Implications I Triguero, D Molina, J Poyatos, J Del Ser, F Herrera arXiv preprint arXiv:2307.14283, 2023 | 1 | 2023 |
| General Purpose Artificial Intelligence Systems (GPAIS): Properties, definition, taxonomy, societal implications and responsible governance I Triguero, D Molina, J Poyatos, J Del Ser, F Herrera Information Fusion, 102135, 2023 | | 2023 |
| Optimización inspirada en la naturaleza y en la biología: lo bueno, lo malo, lo feo y lo esperanzador DM Cabrera, J Poyatos, E Osaba, J DEL SER, F HERRERA DYNA 97 (2), 114-117, 2022 | | 2022 |
Javier (Javi) Del SerResearch Professor in Artificial Intelligence (TECNALIA), Professor (UPV/EHU)Zweryfikowany adres z tecnalia.com
