Ioannis Prapas

20 papers A* 1Journal 16Unranked 3

Year	Rank	Type	Title / Venue / Authors
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`	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`	TeleViT1.0: Teleconnection-aware Vision Transformers for Subseasonal to Seasonal Wildfire Pattern Forecasts. CoRR Ioannis Prapas, Nikolaos Papadopoulos, Nikolaos-Ioannis Bountos, Dimitrios Michail, Gustau Camps-Valls, 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`	Causal Graph Neural Networks for Wildfire Danger Prediction. CoRR Shan Zhao, Ioannis Prapas, Ilektra Karasante, Zhitong Xiong, Ioannis Papoutsis, Gustau Camps-Valls, Xiao Xiang Zhu
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	A*	`conf`	Mesogeos: A multi-purpose dataset for data-driven wildfire modeling in the Mediterranean. NeurIPS Spyridon Kondylatos, Ioannis Prapas, Gustau Camps-Valls, 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	J	`jnl`	SeasFire as a Multivariate Earth System Datacube for Wildfire Dynamics. CoRR Ilektra Karasante, Lázaro Alonso, Ioannis Prapas, Akanksha Ahuja, Nuno Carvalhais, 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
2022	J	`jnl`	Deep Learning for Rapid Landslide Detection using Synthetic Aperture Radar (SAR) Datacubes. CoRR Vanessa Böhm, Wei Ji Leong, Ragini Bal Mahesh, Ioannis Prapas, Edoardo Nemni, Freddie Kalaitzis, Siddha Ganju, Raúl Ramos-Pollán
2022	J	`jnl`	Deep learning based landslide density estimation on SAR data for rapid response. CoRR Vanessa Boehm, Wei Ji Leong, Ragini Bal Mahesh, Ioannis Prapas, Edoardo Nemni, Freddie Kalaitzis, Siddha Ganju, Raúl Ramos-Pollán
2022	J	`jnl`	SAR-based landslide classification pretraining leads to better segmentation. CoRR Vanessa Böhm, Wei Ji Leong, Ragini Bal Mahesh, Ioannis Prapas, Edoardo Nemni, Freddie Kalaitzis, Siddha Ganju, Raúl Ramos-Pollán
2021	J	`jnl`	Continuous Training and Deployment of Deep Learning Models. Datenbank-Spektrum Ioannis Prapas, Behrouz Derakhshan, Alireza Rezaei Mahdiraji, Volker Markl
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
2018	—	`conf`	Towards Human Activity Reasoning with Computational Logic and Deep Learning. SETN Ioannis Prapas, Georgios Paliouras, Alexander Artikis, Nicolas Baskiotis