Towards Human Activity Reasoning with Computational Logic and Deep Learning. - Ioannis Prapas; Georgios Paliouras; Alexander Artikis; Nicolas Baskiotis (SETN, 2018)

Deep Learning Methods for Daily Wildfire Danger Forecasting. - Ioannis Prapas; Spyros Kondylatos; Ioannis Papoutsis; Gustau Camps-Valls; Michele Ronco; Miguel-Ángel Fernández-Torres; Maria Piles Guillem; Nuno Carvalhais (CoRR, 2021)

Continuous Training and Deployment of Deep Learning Models. - Ioannis Prapas; Behrouz Derakhshan; Alireza Rezaei Mahdiraji; Volker Markl (Datenbank-Spektrum, 2021)

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)

Deep Learning for Rapid Landslide Detection using Synthetic Aperture Radar (SAR) Datacubes. - Vanessa Böhm; Wei Ji Leong; Ragini Bal Mahesh; Ioannis Prapas; Edoardo Nemni; Freddie Kalaitzis; Siddha Ganju; Raúl Ramos-Pollán (CoRR, 2022)

SAR-based landslide classification pretraining leads to better segmentation. - Vanessa Böhm; Wei Ji Leong; Ragini Bal Mahesh; Ioannis Prapas; Edoardo Nemni; Freddie Kalaitzis; Siddha Ganju; Raúl Ramos-Pollán (CoRR, 2022)

Deep learning based landslide density estimation on SAR data for rapid response. - Vanessa Boehm; Wei Ji Leong; Ragini Bal Mahesh; Ioannis Prapas; Edoardo Nemni; Freddie Kalaitzis; Siddha Ganju; Raúl Ramos-Pollán (CoRR, 2022)

Fire Risk Management using Data Cubes, Machine Learning and OBDA systems. - Dimitris Bilidas; Anastasios Mantas; Filippos Yfantis; George Stamoulis 001; Manolis Koubarakis; Spyros Kondylatos; Ioannis Prapas; Ioannis Papoutsis (SIGSPATIAL/GIS, 2023)

TeleViT: Teleconnection-driven Transformers Improve Subseasonal to Seasonal Wildfire Forecasting. - Ioannis Prapas; Nikolaos-Ioannis Bountos; Spyros Kondylatos; Dimitrios Michail 001; Gustau Camps-Valls; Ioannis Papoutsis (ICCV (Workshops), 2023)

Mesogeos: A multi-purpose dataset for data-driven wildfire modeling in the Mediterranean. - Spyridon Kondylatos; Ioannis Prapas; Gustau Camps-Valls; Ioannis Papoutsis (NeurIPS, 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)

Plato: A Semantic Data Cube System Using Ontology-Based Data Access Technologies. - Anastasios Mantas; Filippos Yfantis; Dimitris Bilidas; George Stamoulis 001; Spyros Kondylatos; Ioannis Prapas; Ioannis Papoutsis; José María Tárraga; Eva Sevillano Marco; Fabien Castel; Camille Laine; Manolis Koubarakis (IEEE Access, 2024)

Causal Graph Neural Networks for Wildfire Danger Prediction. - Shan Zhao 007; Ioannis Prapas; Ilektra Karasante; Zhitong Xiong; Ioannis Papoutsis; Gustau Camps-Valls; Xiao Xiang Zhu 001 (CoRR, 2024)

Seasonal Fire Prediction using Spatio-Temporal Deep Neural Networks. - Dimitrios Michail 001; Lefki-Ioanna Panagiotou; Charalampos Davalas; Ioannis Prapas; Spyros Kondylatos; Nikolaos-Ioannis Bountos; Ioannis Papoutsis (CoRR, 2024)

AI for Extreme Event Modeling and Understanding: Methodologies and Challenges. - 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; et al. (CoRR, 2024)

FireCastNet: Earth-as-a-Graph for Seasonal Fire Prediction. - Dimitrios Michail 001; Charalampos Davalas; Lefki-Ioanna Panagiotou; Ioannis Prapas; Spyros Kondylatos; Nikolaos-Ioannis Bountos; Ioannis Papoutsis (CoRR, 2025)

Probabilistic Machine Learning for Noisy Labels in Earth Observation. - Spyros Kondylatos; Nikolaos-Ioannis Bountos; Ioannis Prapas; Angelos Zavras; Gustau Camps-Valls; Ioannis Papoutsis (CoRR, 2025)