Publications dans lesquelles il/elle collabore avec Siham Tabik (18)

2022

  1. Climate legacies drive the distribution and future restoration potential of dryland forests

    Nature Plants, Vol. 8, Núm. 8, pp. 879-886

  2. Sentinel2GlobalLULC: A Sentinel-2 RGB image tile dataset for global land use/cover mapping with deep learning

    Scientific Data

  3. Sentinel2GlobalLULC: A dataset of Sentinel-2 georeferenced RGB imagery acquired between June 2015 and October 2020 annotated for global land use/land cover mapping with deep learning (License CC BY 4.0)

    Zenodo

  4. Sentinel2GlobalLULC: A dataset of Sentinel-2 georeferenced RGB imagery acquired between June 2015 and October 2020 annotated for global land use/land cover mapping with deep learning (License CC BY 4.0)

    Zenodo

  5. Sentinel2GlobalLULC: A dataset of Sentinel-2 georeferenced RGB imagery annotated for global land use/land cover mapping with deep learning (License CC BY 4.0)

    Zenodo

  6. Sentinel2GlobalLULC: A dataset of Sentinel-2 georeferenced RGB imagery annotated for global land use/land cover mapping with deep learning (License CC BY 4.0)

    Zenodo

  7. TimeSpec4LULC: A Smart-Global Dataset of Multi-Spectral Time Series of MODIS Terra-Aqua from 2000 to 2021 for Training Machine Learning models to perform LULC Mapping

    Zenodo

  8. TimeSpec4LULC: A Smart-Global Dataset of Multi-Spectral Time Series of MODIS Terra-Aqua from 2000 to 2021 for Training Machine Learning models to perform LULC Mapping

    Zenodo

  9. TimeSpec4LULC: a global multispectral time series database for training LULC mapping models with machine learning

    Earth System Science Data

2021

  1. Mask R-CNN and OBIA fusion improves the segmentation of scattered vegetation in very high-resolution optical sensors

    Sensors (Switzerland), Vol. 21, Núm. 1, pp. 1-17

  2. Olive tree biovolume from uav multi-resolution image segmentation with mask r-cnn

    Sensors, Vol. 21, Núm. 5, pp. 1-17

  3. Sentinel2GlobalLULC: A dataset of Sentinel-2 georeferenced RGB imagery acquired between June 2015 and October 2020 annotated for global land use/land cover mapping with deep learning (License CC BY 4.0)

    Zenodo

  4. TimeSpec4LULC: A deep learning-oriented global dataset of MODIS Terra-Aqua multi-spectral time series measured from 2002 to 2021 for LULC mapping and change detection.

    Zenodo

2020

  1. COVIDGR Dataset and COVID-SDNet Methodology for Predicting COVID-19 Based on Chest X-Ray Images

    IEEE Journal of Biomedical and Health Informatics, Vol. 24, Núm. 12, pp. 3595-3605

  2. FuCiTNet: Improving the generalization of deep learning networks by the fusion of learned class-inherent transformations

    Information Fusion, Vol. 63, pp. 188-195

  3. Tree cover estimation in global drylands from space using deep learning

    Remote Sensing, Vol. 12, Núm. 3

2019

  1. Whale counting in satellite and aerial images with deep learning

    Scientific Reports, Vol. 9, Núm. 1

2017

  1. Deep-learning Versus OBIA for scattered shrub detection with Google Earth Imagery: Ziziphus lotus as case study

    Remote Sensing, Vol. 9, Núm. 12