Spyros Kondylatos

15 papers Journal 13Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Wildfire Spread Forecasting With Deep Learning. IEEE Access Nikolaos Anastasiou, Spyros Kondylatos, Ioannis Papoutsis
2025	J	`jnl`	FireCastNet: Earth-as-a-Graph for Seasonal Fire Prediction. CoRR Dimitrios Michail, Charalampos Davalas, Lefki-Ioanna Panagiotou, Ioannis Prapas, Spyros Kondylatos, Nikolaos-Ioannis Bountos, Ioannis Papoutsis
2025	J	`jnl`	On the Generalization of Representation Uncertainty in Earth Observation. CoRR Spyros Kondylatos, Nikolaos-Ioannis Bountos, Dimitrios Michail, Xiao Xiang Zhu, Gustau Camps-Valls, Ioannis Papoutsis
2025	J	`jnl`	Probabilistic Machine Learning for Noisy Labels in Earth Observation. CoRR Spyros Kondylatos, Nikolaos-Ioannis Bountos, Ioannis Prapas, Angelos Zavras, Gustau Camps-Valls, Ioannis Papoutsis
2025	J	`jnl`	Uncertainty-Aware Deep Learning for Wildfire Danger Forecasting. CoRR Spyros Kondylatos, Gustau Camps-Valls, Ioannis Papoutsis
2025	J	`jnl`	Wildfire spread forecasting with Deep Learning. CoRR Nikolaos Anastasiou, Spyros Kondylatos, Ioannis Papoutsis
2024	J	`jnl`	AI for Extreme Event Modeling and Understanding: Methodologies and Challenges. CoRR Gustau Camps-Valls, Miguel-Ángel Fernández-Torres, Kai-Hendrik Cohrs, Adrian Höhl, Andrea Castelletti, Aytac Pacal, Claire Robin, Francesco Martinuzzi, Ioannis Papoutsis, Ioannis Prapas, Jorge Pérez-Aracil, Katja Weigel, Maria Gonzalez-Calabuig, Markus Reichstein, Martin Rabel, Matteo Giuliani, Miguel D. Mahecha, Oana-Iuliana Popescu, Oscar J. Pellicer-Valero, Said Ouala, Sancho Salcedo-Sanz, Sebastian Sippel, Spyros Kondylatos, Tamara Happé, Tristan Williams
2024	J	`jnl`	Plato: A Semantic Data Cube System Using Ontology-Based Data Access Technologies. IEEE Access Anastasios Mantas, Filippos Yfantis, Dimitris Bilidas, George Stamoulis, Spyros Kondylatos, Ioannis Prapas, Ioannis Papoutsis, José María Tárraga, Eva Sevillano Marco, Fabien Castel, Camille Laine, Manolis Koubarakis
2024	J	`jnl`	Seasonal Fire Prediction using Spatio-Temporal Deep Neural Networks. CoRR Dimitrios Michail, Lefki-Ioanna Panagiotou, Charalampos Davalas, Ioannis Prapas, Spyros Kondylatos, Nikolaos-Ioannis Bountos, Ioannis Papoutsis
2023	—	`conf`	Fire Risk Management using Data Cubes, Machine Learning and OBDA systems. SIGSPATIAL/GIS Dimitris Bilidas, Anastasios Mantas, Filippos Yfantis, George Stamoulis, Manolis Koubarakis, Spyros Kondylatos, Ioannis Prapas, Ioannis Papoutsis
2023	J	`jnl`	Mesogeos: A multi-purpose dataset for data-driven wildfire modeling in the Mediterranean. CoRR Spyros Kondylatos, Ioannis Prapas, Gustau Camps-Valls, Ioannis Papoutsis
2023	—	`conf`	TeleViT: Teleconnection-driven Transformers Improve Subseasonal to Seasonal Wildfire Forecasting. ICCV (Workshops) Ioannis Prapas, Nikolaos-Ioannis Bountos, Spyros Kondylatos, Dimitrios Michail, Gustau Camps-Valls, Ioannis Papoutsis
2023	J	`jnl`	TeleViT: Teleconnection-driven Transformers Improve Subseasonal to Seasonal Wildfire Forecasting. CoRR Ioannis Prapas, Nikolaos-Ioannis Bountos, Spyros Kondylatos, Dimitrios Michail, Gustau Camps-Valls, Ioannis Papoutsis
2022	J	`jnl`	Deep Learning for Global Wildfire Forecasting. CoRR Ioannis Prapas, Akanksha Ahuja, Spyros Kondylatos, Ilektra Karasante, Eleanna Panagiotou, Lázaro Alonso, Charalampos Davalas, Dimitrios Michail, Nuno Carvalhais, Ioannis Papoutsis
2021	J	`jnl`	Deep Learning Methods for Daily Wildfire Danger Forecasting. CoRR Ioannis Prapas, Spyros Kondylatos, Ioannis Papoutsis, Gustau Camps-Valls, Michele Ronco, Miguel-Ángel Fernández-Torres, Maria Piles Guillem, Nuno Carvalhais