Mapping Essential Vegetation Variables Over Europe Using Gaussian Process Regression and Sentinel-3 Data in Google Earth Engine. - Pablo Reyes-Muñoz; Luca Pipia; Matías Salinero-Delgado; Charlotte De Grave; José Estévez; Santiago Belda; Jochem Verrelst (IGARSS, 2021)

Top-of-Atmosphere Retrieval of Multiple Crop Traits Using Variational Heteroscedastic Gaussian Processes within a Hybrid Workflow. - José Estévez; Katja Berger; Jorge Vicent 001; Juan Pablo Rivera Caicedo; Matthias Wocher; Jochem Verrelst (Remote. Sens., 2021)

Quantifying Fundamental Vegetation Traits over Europe Using the Sentinel-3 OLCI Catalogue in Google Earth Engine. - Pablo Reyes-Muñoz; Luca Pipia; Matías Salinero-Delgado; Santiago Belda; Katja Berger; José Estévez; Miguel Morata; Juan Pablo Rivera Caicedo; Jochem Verrelst (Remote. Sens., 2022)

Monitoring Cropland Phenology on Google Earth Engine Using Gaussian Process Regression. - Matías Salinero-Delgado; José Estévez; Luca Pipia; Santiago Belda; Katja Berger; Vanessa Paredes Gómez; Jochem Verrelst (Remote. Sens., 2022)

Interpretable surrogate models to approximate the predictions of convolutional neural networks in glaucoma diagnosis. - José F. Sigut; Francisco Fumero; Rafael Arnay; José Estévez; Tinguaro Díaz-Alemán (Mach. Learn. Sci. Technol., 2023)

Gaussian Process Regression Hybrid Models for the Top-of-Atmosphere Retrieval of Vegetation Traits Applied to PRISMA and EnMAP Imagery. - Ana Belen Pascual Venteo; Jose L. Garcia; Katja Berger; José Estévez; Jorge Vicent 001; Adrián Pérez-Suay; Shari Van Wittenberghe; Jochem Verrelst (Remote. Sens., 2024)