| Vista previa | Fecha de publicación | Título | Autor(es) | Acceso |
 | 2024 | An evaluation of CNN models and data augmentation techniques
in hierarchical localization of mobile robots | Cabrera, Juan José; Céspedes, Orlando José; Cebollada, Sergio; Reinoso, Oscar; Paya, Luis |  |
 | sep-2020 | Computer versus cardiologist: Is a machine learning algorithm able to outperform an expert in diagnosing a phospholamban p.Arg14del mutation on the electrocardiogram? | Bleijendaal, Hidde; Melgarejo Meseguer, Francisco Manuel; Gimeno Blanes, Francisco Javier; Gimeno Blanes, Juan; Pinto, Yigal M.; Marquering, Henk; Zwinderman, Aeilko H | |
 | 9-may-2025 | Integrated Remote Sensing and Deep Learning Models for Flash Flood Detection Based on Spatio‑temporal Land Use and Cover Changes in the Mediterranean Region | Hasnaoui, Yacine; Eddine Tachi, Salah; Bouguerra, Hamza; Mundher Yaseen, Zaher; Gilja, Gordon; Szczepanek, Robert; Navarro‑Pedreño, Jose |  |
 | 2025 | Interpreting frequency evolution in ventricular fibrillation using embeddings and deep learning methods | Lozano-Paredes, Dafne; SANCHEZ MUÑOZ, JUAN JOSE; Bote-Curiel, Luis; Melgarejo Meseguer, Francisco Manuel; Gil Izquierdo, Antonio; Gimeno Blanes, Francisco Javier; Rojo-Álvarez, José Luis | |
 | ago-2022 | On the use of deep learning and parallelism techniques
to signifcantly reduce the HEVC intra‑coding time | Galiano, Vicente; Migallon, Hector; Martínez-Rach, Miguel Onofre; López Granado, Otoniel Mario; Perez Malumbres, Manuel | |
 | 3-sep-2022 | On the use of deep learning and parallelism techniques to significantly reduce the HEVC intra-coding time | Galiano, Vicente; Migallon, Hector; Martínez-Rach, Miguel Onofre; López Granado, Otoniel Mario; Malumbres, Manuel P | |
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