| New probabilistic, dynamic multi-method ensembles for optimization based on the CRO-SL J Pérez-Aracil, C Camacho-Gómez, E Lorente-Ramos, CM Marina, ... Mathematics 11 (7), 1666, 2023 | 8 | 2023 |
| Machine learning as alternative strategy for the numerical prediction of the shear response in reinforced and prestressed concrete beams AM Hernández-Díaz, J Pérez-Aracil, E Lorente-Ramos, CM Marina, ... Results in Engineering 22, 102139, 2024 | 4 | 2024 |
| Detection of concurrent extreme weather events with machine learning E Lorente-Ramos, CM Marina, N Luther, E Xoplaki, J Pérez-Aracil, ... XX Conferencia de la Asociación Española para la Inteligencia Artificial, 119, 2024 | | 2024 |
| Identifying Key Drivers of Heatwaves: A Novel Spatio-Temporal Framework for Extreme Event Detection J Pérez-Aracil, C Peláez-Rodríguez, R McAdam, A Squintu, CM Marina, ... arXiv preprint arXiv:2411.10108, 2024 | | 2024 |
| Multivariate-Autoencoder Flow-Analogue Method for Heat Waves Reconstruction CM Marina, E Lorente-Ramos, R Ayllón-Gavilán, PA Gutiérrez, ... Conference of the Spanish Association for Artificial Intelligence, 223-232, 2024 | | 2024 |
| Machine Learning as Applied to Shape Parameterization of Submerged Arch Structures WH LLamosas-Mayca, E Lorente-Ramos, J Pérez-Aracil, ... International Work-Conference on the Interplay Between Natural and …, 2024 | | 2024 |
| TensorCRO: A TensorFlow‐based implementation of a multi‐method ensemble for optimization A Palomo‐Alonso, VG Costa, LM Moreno‐Saavedra, E Lorente‐Ramos, ... Expert Systems, e13713, 2024 | | 2024 |
