Small and large scale critical infrastructures detection based on deep learning using high resolution orthogonal images. - Francisco Pérez-Hernández; José Rodríguez-Ortega; Yassir Benhammou; Francisco Herrera; Siham Tabik (CoRR, 2021)

CI-Dataset and DetDSCI Methodology for Detecting Too Small and Too Large Critical Infrastructures in Satellite Images: Airports and Electrical Substations as Case Study. - Francisco Pérez-Hernández; José Rodríguez-Ortega; Yassir Benhammou; Francisco Herrera; Siham Tabik (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021)

Deep Learning for blind spectral unmixing of LULC classes with MODIS multispectral time series and ancillary data. - José Rodríguez-Ortega; Rohaifa Khaldi; Domingo Alcaraz-Segura; Siham Tabik (CoRR, 2023)

AndalUnmixingRGB: A dataset of Sentinel-2 RGB imagery acquired in Andalusia region of Spain, enriched with environmental ancillary data and annotated for blind Spectral Unmixing using Deep Learning (License CC BY 4.0). - Yassir Benhammou; José Rodríguez-Ortega; Domingo Alcaraz-Segura; Siham Tabik (IEEE DataPort, 2023)

Bidirectional Recurrent Imputation and Abundance Estimation of LULC Classes With MODIS Multispectral Time-Series and Geo-Topographic and Climatic Data. - José Rodríguez-Ortega; Rohaifa Khaldi; Domingo Alcaraz-Segura; Siham Tabik (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024)

CHaRNet: Conditioned Heatmap Regression for Robust Dental Landmark Localization. - José Rodríguez-Ortega; Francisco Pérez-Hernández; Siham Tabik (CoRR, 2025)