Identifying network structure similarity using spectral graph theory. - Ralucca Gera; Lázaro Alonso; Brian Crawford; Jeffrey House; J. A. Méndez-Bermúdez; Thomas Knuth; Ryan Miller (Appl. Netw. Sci., 2018)

Weighted random-geometric and random-rectangular graphs: spectral and eigenfunction properties of the adjacency matrix. - Lázaro Alonso; J. A. Méndez-Bermúdez; A. González-Meléndrez; Yamir Moreno (J. Complex Networks, 2018)

Learning to forecast vegetation greenness at fine resolution over Africa with ConvLSTMs. - Claire Robin; Christian Requena-Mesa; Vitus Benson; Lázaro Alonso; Jeran Poehls; Nuno Carvalhais; Markus Reichstein (CoRR, 2022)

Deep Learning for Global Wildfire Forecasting. - Ioannis Prapas; Akanksha Ahuja; Spyros Kondylatos; Ilektra Karasante; Eleanna Panagiotou; Lázaro Alonso; Charalampos Davalas; Dimitrios Michail 001; Nuno Carvalhais; Ioannis Papoutsis (CoRR, 2022)

Forecasting localized weather impacts on vegetation as seen from space with meteo-guided video prediction. - Vitus Benson; Christian Requena-Mesa; Claire Robin; Lázaro Alonso; José Cortés; Zhihan Gao 001; Nora Linscheid; Mélanie Weynants; Markus Reichstein (CoRR, 2023)

SeasFire as a Multivariate Earth System Datacube for Wildfire Dynamics. - Ilektra Karasante; Lázaro Alonso; Ioannis Prapas; Akanksha Ahuja; Nuno Carvalhais; Ioannis Papoutsis (CoRR, 2023)

Multi-Modal Learning for Geospatial Vegetation Forecasting. - Vitus Benson; Claire Robin; Christian Requena-Mesa; Lázaro Alonso; Nuno Carvalhais; José Cortés; Zhihan Gao 001; Nora Linscheid; Mélanie Weynants; Markus Reichstein (CVPR, 2024)