| 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 103, 102135, 2024 | 15* | 2024 |
| 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 | 5 | 2023 |
| Desarrollo De Herramientas Web Interactivas para el Aprendizaje de Algoritmos en Metaheurísticas D Molina Cabrera | | 2023 |
| Package ‘Rmalschains’ C Bergmeir, JM Benítez, D Molina, R Davies, D Eddelbuettel, N Hansen | | 2023 |
| 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 | 22 | 2023 |
| A least square support vector machine approach based on bvRNA-GA for modeling photovoltaic systems X Liu, N Wang, D Molina, F Herrera Applied Soft Computing 117, 108357, 2022 | 6 | 2022 |
| 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 |
| 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 | 9 | 2021 |
| 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 | 89 | 2021 |
| A panoramic view and swot analysis of artificial intelligence for achieving the sustainable development goals by 2030: Progress and prospects I Palomares, E Martínez-Cámara, R Montes, P García-Moral, M Chiachio, ... Applied Intelligence 51, 6497-6527, 2021 | 156 | 2021 |
| A tutorial on the design, experimentation and application of metaheuristic algorithms to real-world optimization problems E Osaba, E Villar-Rodriguez, J Del Ser, AJ Nebro, D Molina, A LaTorre, ... Swarm and Evolutionary Computation 64, 100888, 2021 | 228 | 2021 |
| Ordering Artificial Intelligence Based Recommendations to Tackle the SDGs with a Decision-Making Model Based on Surveys S Alonso Burgos, RA Montes Soldado, D Molina Cabrera, I Palomares, ... MDPI, 2021 | | 2021 |
| Ordering artificial intelligence based recommendations to tackle the sdgs with a decision-making model based on surveys S Alonso, R Montes, D Molina, I Palomares, E Martínez-Cámara, ... Sustainability 13 (11), 6038, 2021 | 11 | 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 | 39 | 2021 |
| Ordering artificial intelligence based recommendations to tackle the sdgs with a decision-making model based on surveys. Sustainability 2021, 13, 6038 S Alonso, R Montes, D Molina, I Palomares, E Martínez-Cámara, ... s Note: MDPI stays neutral with regard to jurisdictional claims in published …, 2021 | 1 | 2021 |
| Performance analysis of real-coded evolutionary algorithms under a computationally expensive optimization scenario: 3D–2D comparative radiography O Gómez, O Ibáñez, A Valsecchi, E Bermejo, D Molina, O Cordón Applied Soft Computing 97, 106793, 2020 | 7 | 2020 |
| 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 | 202 | 2020 |
| On The Role Of Execution Order In Hybrid Evolutionary Algorithms A LaTorre, D Molina 2020 IEEE Congress on Evolutionary Computation (CEC), 1-8, 2020 | | 2020 |
| Comprehensive Taxonomies of Nature-and Bio-inspired Optimization: Inspiration Versus Algorithmic Behavior, Critical Analysis Recommendations D Molina Cabrera, J Poyatos Amador, J Del Ser, S García López, ... | | 2020 |
| Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI AB Arrieta, N Díaz-Rodríguez, J Del Ser, A Bennetot, S Tabik, A Barbado, ... Information fusion 58, 82-115, 2020 | 7033 | 2020 |
Francisco HerreraProfessor Computer Science and AI, DaSCI Research Institute, Granada University, Spain在 decsai.ugr.es 的电子邮件经过验证
