Convolutional neural network models with low spatial variability hamper the transfer learning process. - Bravo-Diaz, Alejandra; Moreno, Sebastián; Lopatin, Javier (Neural Comput. Appl., 2025)

Evaluating the ability of convolutional neural networks for transfer learning in Pinus radiata cover predictions. - Bravo-Diaz, Alejandra; Moreno, Sebastián; Lopatin, Javier (Ecol. Informatics, 2024)

CNN Sensitivity Analysis for Land Cover Map Models Using Sparse and Heterogeneous Satellite Data. - Moreno, Sebastián; Lopatin, Javier; Corvalán, Diego; Bravo-Diaz, Alejandra (2024)

Estimation of Foliar Carotenoid Content Using Spectroscopy Wavelet-Based Vegetation Indices. - Lopatin, Javier (IEEE Geosci. Remote. Sens. Lett., 2023)

Interannual Variability of Remotely Sensed Phenology Relates to Plant Communities. - Lopatin, Javier (IEEE Geosci. Remote. Sens. Lett., 2023)

Hate Speech Recognition in Chilean Tweets. - Tobar-Arancibia, Alfonso; Moreno, Sebastián; Lopatin, Javier (2023)

Using Sentinel-2 and canopy height models to derive a landscape-level biomass map covering multiple vegetation types. - Fassnacht, Fabian Ewald; Poblete-Olivares, Javiera; Rivero, Lucas; Lopatin, Javier; Ceballos-Comisso, Andrés; Galleguillos, Mauricio (Int. J. Appl. Earth Obs. Geoinformation, 2021)

Predicting Vascular Plant Diversity in Anthropogenic Peatlands: Comparison of Modeling Methods with Free Satellite Data. - Castillo-Riffart, Ivan; Galleguillos, Mauricio; Lopatin, Javier; Perez-Quezada, Jorge F. (Remote. Sens., 2017)

Linking plant strategies (CSR) and remotely sensed plant traits. - Kattenborn, Teja; Lopatin, Javier; Faßnacht, Fabian; Schmidtlein, Sebastian (2016)

Using a Multistructural Object-Based LiDAR Approach to Estimate Vascular Plant Richness in Mediterranean Forests With Complex Structure. - Lopatin, Javier; Galleguillos, Mauricio; Fassnacht, Fabian Ewald; Ceballos, Andrés; Hernández, Jaime (IEEE Geosci. Remote. Sens. Lett., 2015)