Portal de Transparencia

Actividad investigadora:

• Artículos en revistas
  • [2019] Convolutional neural networks for segmenting xylem vessels in stained cross-sectional images
  • [2019] Deep Learning for Automatic Outlining Agricultural Parcels: Exploiting the Land Parcel Identification System
  • [2019] Multi-scale RoIs selection for classifying multi-spectral images
  • [2019] Multi-scale RoIs selection for classifying multi-spectral images
  • [2019] Sample-Size Determination Methodologies for Machine Learning in Medical Imaging Research: A Systematic Review.
  • [2019] Seasonal Crop Water Balance Using Harmonized Landsat-8 and Sentinel-2 Time Series Data
  • [2019] The Outlining of Agricultural Plots Based on Spatiotemporal Consensus Segmentation
  • [2018] Xylem Vessels Segmentation Through a Deep Learning Approach: a First Look
  • [2017] Fusion of High Resolution Multispectral Imagery in Vulnerable Coastal and Land Ecosystems
  • [2017] Mitosis Detection in Breast Cancer Using Superpixels and Ensemble Classifiers
  • [2017] Object-based quality evaluation procedure for fused remote sensing imagery
  • [2016] Object-based quality evaluation procedure for fused remote sensing imagery
  • [2015] A GEOBIA Methodology for Fragmented Agricultural Landscapes
  • [2015] An object approach to the assessment of the spatial quality of pan-sharpened remote sensing images
  • [2015] Automatic identification of shrub vegetation of the Teide National Park
  • [2015] Local optimal scale in a hierarchical segmentation method for satellite images
  • [2015] Superpixel-Based Roughness Measure for Multispectral Satellite Image Segmentation
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• Capítulos de libros
  • [2018] Use of Machine Learning to Improve the Robustness of Spatial Estimation of Evapotranspiration
  • [2016] A web-based platform for remote sensing image annotation
  • [2016] A web-based platform for remote sensing image annotation
  • [2016] Deep Learning for superpixel-based classfication of remote sensing images.
  • [2016] Deep Learning for superpixel-based classfication of remote sensing images.
  • [2015] A machine learning approach for agricultural parcel delimitation through agglomerative segmentation
  • [2015] An object approach to the assessment of the spatial quality of pan-sharpened remote sensing images
  • [2015] Automatic identification of shrub vegetation of the Teide National Park
  • [2015] Evapotranspiration mapping without thermal band using Random Forest
  • [2015] Evapotranspiration mapping without thermal band using Random Forest
  • [2014] Optimal Scale in a Hierarchical Segmentation Method for Satellite Images
  • [2014] Text Analysis and Information Extraction from Spanish Written Documents
  • [2013] Unsupervised multiscale ROIs determination for supervised thematic classification
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• Ponencia en Congresos
  • [2017] Automatic Recording and Analysis of Somniloquy through the use of Mobile Devices to Support the Diagnosis of Psychological Pathologies
  • [2017] Mitosis detection in breast cancer using superpixel candidate selection and ensemble classifiers
  • [2017] Uso de tarjeta universitaria y tecnología móvil para el control de acceso a instalaciones universitarias y su posterior análisis en términos de rendimiento académicos y control de asistencia en clase
  • [2015] Delimitación de parcelas agrícolas mediante consenso de diversas segmentaciones
  • [2015] Generación basada en objetos de mapas de la medida local de la calidad de imágenes fusionadas de Teledetección
  • [2015] Medida de la calidad espectral de imágenes fusionadas usando el algoritmo CIEDE2000
  • [2014] Electronic Health Records Analytics: Natural Language Processing and Image Annotation
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• Proyectos de I+D+i
  • [2019] ESA CCI+: ESA climate Change Initiative
  • [2015] Water Research Center for Agriculture and Minin
  • [2014] UNIV. CONCEPCION-ESTRUC. INFORMATICA SENT. JUDIC.
• Tesis Doctorales
  • [2016] Spatio-temporal Analysis of Agricultural Landscape Images: A Superpixel-based Approach