Publications en collaboration avec des chercheurs de Universidad Politécnica de Madrid (14)

2023

  1. Photoplethysmographic Signal-Diffusive Dynamics as a Mental-Stress Physiological Indicator Using Convolutional Neural Networks

    Applied Sciences (Switzerland), Vol. 13, Núm. 15

2022

  1. Aboveground biomass density models for NASA's Global Ecosystem Dynamics Investigation (GEDI) lidar mission

    Remote Sensing of Environment, Vol. 270

  2. Characterizing Live Fuel Moisture Content from Active and Passive Sensors in a Mediterranean Environment

    Forests, Vol. 13, Núm. 11

  3. The Interplay of the Tree and Stand-Level Processes Mediate Drought-Induced Forest Dieback: Evidence from Complementary Remote Sensing and Tree-Ring Approaches

    Ecosystems, Vol. 25, Núm. 8, pp. 1738-1753

  4. Tree growth response to drought partially explains regional-scale growth and mortality patterns in Iberian forests

    Ecological Applications, Vol. 32, Núm. 5

2020

  1. Available and missing data to model impact of climate change on European forests

    Ecological Modelling, Vol. 416

2014

  1. Applying a student modeling with non-monotonic diagnosis to Intelligent Virtual Environment for Training/Instruction

    Expert Systems with Applications, Vol. 41, Núm. 2, pp. 508-520

  2. Assessing the temporal stability of the accuracy of a time series of burned area products

    Remote Sensing, Vol. 6, Núm. 3, pp. 2050-2068

2011

  1. A proposal for student modeling based on ontologies and diagnosis rules

    Expert Systems with Applications, Vol. 38, Núm. 7, pp. 8066-8078

2009

  1. An ontology for pedagogical diagnosis in virtual environments for learning

    IADIS International Conference on Cognition and Exploratory Learning in Digital Age, CELDA 2009

  2. Focusing the diagnosis for student modelling on an instructional design

    CSEDU 2009 - Proceedings of the 1st International Conference on Computer Supported Education

2008

  1. A proposal for student modelling based on ontologies

    Frontiers in Artificial Intelligence and Applications

2004

  1. Generation of crown bulk density for Pinus sylvestris L. from lidar

    Remote Sensing of Environment

  2. Remote sensing and geographic information systems methods for global spatiotemporal modeling of biomass burning emissions: Assessment in the African continent

    Journal of Geophysical Research D: Atmospheres, Vol. 109, Núm. 14