Bountos et al. "Hephaestus: A large scale multitask dataset towards InSAR understanding"

Prapas et al. "Deep Learning Methods for Daily Wildfire Danger Forecasting". 

Papoutsis et al. "Efficient deep learning models for land cover image classiciation"

Maria Sdraka, Ioannis Papoutsis, Member, IEEE, Bill Psomas, Konstantinos Vlachos, KojjjjjMKSdraka, Mara, Ioannis Papoutsis, Bill Psomas, Konstantinos Vlachos, Konstantinos Ioannidis, Konstantinos Karantzalos, Ilias Gialampoukidis, Stefanos Vrochidis, "Deep Learning for Remote Sensing Image Downscaling: Fusion and Super-Resolution", in IEEE Geoscience and Remote Sensing Magazine, accepted for publication (2022).

Bountos, Nikolaos Ioannis, Ioannis Papoutsis, Dimitrios Michail, Andreas Karavias, Panagiotis Elias, Isaak Parcharidis, "Hephaestus: A large scale multitask dataset towards InSAR understanding". To appear in CVPR EarthVision Workshop (2022).

Sykas, Dimitrios, Mara Sdraka, Dimitrios Zografakis and Ioannis Papoutsis, "A Sentinel-2 multi-year, multi-country benchmark dataset for crop classification and segmentation with deep learning," in IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2022). 

Bountos, Nikolaos Ioannis, Dimitrios Michail, and Ioannis Papoutsis. "Learning class prototypes from Synthetic InSAR with Vision Transformers." arXiv preprint arXiv:2201.03016 (2022).

Papoutsis, Ioannis, Nikolaos-Ioannis Bountos, Angelos Zavras, Dimitrios Michail, and Christos Tryfonopoulos. "Efficient deep learning models for land cover image classification." arXiv preprint arXiv:2111.09451 (2021).

Prapas, Ioannis, Spyros Kondylatos, Ioannis Papoutsis, Gustau Camps-Valls, Michele Ronco, Miguel-Ángel Fernández-Torres, Maria Piles Guillem, and Nuno Carvalhais. "Deep Learning Methods for Daily Wildfire Danger Forecasting." Workshop on Artificial Intelligence for Humanitarian Assistance and Disaster Response at the 35th Conference on Neural Information Processing Systems (NeurIPS 2021), arXiv preprint arXiv:2111.02736 (2021).

Bountos, Nikolaos Ioannis, Ioannis Papoutsis, Dimitrios Michail, and Nantheera Anantrasirichai. "Self-supervised contrastive learning for volcanic unrest detection." IEEE Geoscience and Remote Sensing Letters 19 (2021): 1-5.

El Kamali, Muhagir, Ioannis Papoutsis, Constantinos Loupasakis, Abdelgadir Abuelgasim, Khalid Omari, and Charalampos Kontoes. "Monitoring of land surface subsidence using persistent scatterer interferometry techniques and ground truth data in arid and semi-arid regions, the case of Remah, UAE." Science of the Total Environment 776 (2021): 145946

Sitokonstantinou, Vasileios, Alkiviadis Koukos, Thanassis Drivas, Charalampos Kontoes, Ioannis Papoutsis, and Vassilia Karathanassi. "A Scalable Machine Learning Pipeline for Paddy Rice Classification Using Multi-Temporal Sentinel Data." Remote Sensing 13, no. 9 (2021): 1769

Apostolakis, Alexis, Stella Girtsou, Charalampos Kontoes, Ioannis Papoutsis, and Michalis Tsoutsos. "Implementation of a Random Forest Classifier to Examine Wildfire Predictive Modelling in Greece Using Diachronically Collected Fire Occurrence and Fire Mapping Data." In International Conference on Multimedia Modeling, pp. 318-329. Springer, Cham, 2021.

Kontoes, Charalampos, Constantinos Loupasakis, Ioannis Papoutsis, Stavroula Alatza, Eleftheria Poyiadji, Athanassios Ganas, Christina Psychogyiou, Mariza Kaskara, Sylvia Antoniadi, and Natalia Spanou. "Landslide Susceptibility Mapping of Central and Western Greece, Combining NGI and WoE Methods, with Remote Sensing and Ground Truth Data." Land 10, no. 4 (2021): 402