| Object detection binary classifiers methodology based on deep learning to identify small objects handled similarly: Application in video surveillance F Pérez-Hernández, S Tabik, A Lamas, R Olmos, H Fujita, F Herrera Knowledge-Based Systems 194, 105590, 2020 | 135 | 2020 |
| Brightness guided preprocessing for automatic cold steel weapon detection in surveillance videos with deep learning A Castillo, S Tabik, F Pérez, R Olmos, F Herrera Neurocomputing 330, 151-161, 2019 | 78 | 2019 |
| EXplainable Neural-Symbolic Learning (X-NeSyL) methodology to fuse deep learning representations with expert knowledge graphs: The MonuMAI cultural heritage use case N Díaz-Rodríguez, A Lamas, J Sanchez, G Franchi, I Donadello, S Tabik, ... Information Fusion 79, 58-83, 2022 | 45 | 2022 |
| A binocular image fusion approach for minimizing false positives in handgun detection with deep learning R Olmos, S Tabik, A Lamas, F Perez-Hernandez, F Herrera Information Fusion 49, 271-280, 2019 | 36 | 2019 |
| MonuMAI: Dataset, deep learning pipeline and citizen science based app for monumental heritage taxonomy and classification A Lamas, S Tabik, P Cruz, R Montes, Á Martínez-Sevilla, T Cruz, ... Neurocomputing 420, 266-280, 2021 | 22 | 2021 |
| Human pose estimation for mitigating false negatives in weapon detection in video-surveillance A Lamas, S Tabik, AC Montes, F Pérez-Hernández, J García, R Olmos, ... Neurocomputing 489, 488-503, 2022 | 17 | 2022 |
| MULTICAST: MULTI Confirmation-level Alarm SysTem based on CNN and LSTM to mitigate false alarms for handgun detection in video-surveillance R Olmos, S Tabik, F Pérez-Hernández, A Lamas, F Herrera arXiv preprint arXiv:2104.11653, 2021 | 6 | 2021 |
| Evaluacion de estrategias de binarizacion en la clasificacion de imágenes usando deep learning F Pérez, S Tabik, A Castillo, H Fujita, F Herrera XVIII Conferencia de la Asociación Española para la Inteligencia Artificial …, 2018 | | 2018 |
| Preprocesamiento guiado por luminosidad para la deteccion automática de armas blancas en video vigilancia con Deep Learning A Castillo, S Tabik, F Pérez, R Olmos, F Herrera XVIII Conferencia de la Asociación Española para la Inteligencia Artificial …, 2018 | | 2018 |
| Competicion CAEPIA-App: MonuMAI, una app para incrementar el valor social del patrimonio-arquitectonico andaluz F Herrera, A Martinez-Sevilla, S Tabik, R Montes, A Castillo, TC Sánchez, ... XVIII Conferencia de la Asociación Española para la Inteligencia Artificial …, 2018 | | 2018 |
Francisco HerreraProfessor Computer Science and AI, Granada University, SpainDirección de correo verificada de decsai.ugr.es
