| Addressing data scarcity in protein fitness landscape analysis: A study on semi-supervised and deep transfer learning techniques JA Barbero-Aparicio, A Olivares-Gil, JJ Rodríguez, C García-Osorio, ... Information Fusion 102, 102035, 2024 | 6 | 2024 |
| Generación automática de preguntas cloze para cuestionarios Moodle sobre análisis léxico R Izquierdo Amo, C García Osorio, P Latorre Carmona, ... Asociación de Enseñantes Universitarios de la Informática 6, 163-170, 2021 | 3 | 2021 |
| CamPype: an open-source workflow for automated bacterial whole-genome sequencing analysis focused on Campylobacter I Ortega-Sanz, JA Barbero-Aparicio, A Canepa-Oneto, J Rovira, B Melero BMC bioinformatics 24 (1), 291, 2023 | 1 | 2023 |
| An Extensive Performance Comparison between Feature Reduction and Feature Selection Preprocessing Algorithms on Imbalanced Wide Data I Ramos-Pérez, JA Barbero-Aparicio, A Canepa-Oneto, ... Information 15 (4), 223, 2024 | | 2024 |
| Machine learning approaches in bioinformatics; advances in transcription and protein fitness prediction JA Barbero Aparicio | | 2023 |
| Deep learning and support vector machines for transcription start site identification JA Barbero-Aparicio, A Olivares-Gil, JF Díez-Pastor, C García-Osorio PeerJ Computer Science 9, e1340, 2023 | | 2023 |
| Nonlinear physics opens a new paradigm for accurate transcription start site prediction JA Barbero-Aparicio, S Cuesta-Lopez, CI García-Osorio, ... BMC bioinformatics 23 (1), 565, 2022 | | 2022 |
| Plataforma web para torneos de juegos 2x2 J Barbero Aparicio, V Ahedo García, J Santos Martín Editorial Universitat Politècnica de València, 2020 | | 2020 |
| Desarrollo y despliegue de un workflow para el análisis genómico de Campylobacter Jejuni JA Barbero Aparicio | | 2019 |
