Ioannis Prapas

According to our database, Ioannis Prapas authored at least 15 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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, 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

CoRR, 2024

Seasonal Fire Prediction using Spatio-Temporal Deep Neural Networks.

Dimitrios Michail, Lefki-Ioanna Panagiotou, Charalampos Davalas, Ioannis Prapas, Spyros Kondylatos, Nikolaos-Ioannis Bountos, Ioannis Papoutsis

CoRR, 2024

Causal Graph Neural Networks for Wildfire Danger Prediction.

Shan Zhao, Ioannis Prapas, Ilektra Karasante, Zhitong Xiong, Ioannis Papoutsis, Gustau Camps-Valls, Xiao Xiang Zhu

CoRR, 2024

Plato: A Semantic Data Cube System Using Ontology-Based Data Access Technologies.

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

IEEE Access, 2024

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

Mesogeos: A multi-purpose dataset for data-driven wildfire modeling in the Mediterranean.

Spyridon Kondylatos, Ioannis Prapas, Gustau Camps-Valls, Ioannis Papoutsis

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

TeleViT: Teleconnection-driven Transformers Improve Subseasonal to Seasonal Wildfire Forecasting.

Ioannis Prapas, Nikolaos-Ioannis Bountos, Spyros Kondylatos, Dimitrios Michail, Gustau Camps-Valls, Ioannis Papoutsis

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Fire Risk Management using Data Cubes, Machine Learning and OBDA systems.

Dimitris Bilidas, Anastasios Mantas, Filippos Yfantis, George Stamoulis, Manolis Koubarakis, Spyros Kondylatos, Ioannis Prapas, Ioannis Papoutsis

Proceedings of the 31st ACM International Conference on Advances in Geographic Information Systems, 2023

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

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 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

Deep Learning for Global Wildfire Forecasting.

Ioannis Prapas, Akanksha Ahuja, Spyros Kondylatos, Ilektra Karasante, Eleanna Panagiotou, Lázaro Alonso, Charalampos Davalas, Dimitrios Michail, Nuno Carvalhais, Ioannis Papoutsis

CoRR, 2022

2021

Continuous Training and Deployment of Deep Learning Models.

Ioannis Prapas, Behrouz Derakhshan, Alireza Rezaei Mahdiraji, Volker Markl

Datenbank-Spektrum, 2021

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

2018

Towards Human Activity Reasoning with Computational Logic and Deep Learning.

Ioannis Prapas, Georgios Paliouras, Alexander Artikis, Nicolas Baskiotis

Proceedings of the 10th Hellenic Conference on Artificial Intelligence, 2018