• G. Drakonakis, G. Tsagkatakis, K. Fotiadou, and P. Tsakalides, "OmbriaNet - Supervised Flood Mapping via Convolutional Neural Networks Using Multitemporal Sentinel-1 and Sentinel-2 Data Fusion," IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 15, pp. 2341-2356, 2022, doi: 10.1109/JSTARS.2022.3155559. [pdf]

• M. Giannopoulos, G. Tsagkatakis, and P. Tsakalides. "4D Convolutional Neural Networks for Multi-Spectral and Multi-Temporal Remote Sensing Data Classification." IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2022. [pdf]

• M. Villia, G. Tsagkatakis, M. Moghaddam, and P. Tsakalides, "Embedded Temporal Convolutional Networks for Essential Climate Variables Forecasting," MDPI Sensors, Special Issue on Machine Learning, Signal, and/or Image Processing Methods to Enhance Environmental Sensors, 2022, 22(5), 1851; https://doi.org/10.3390/s22051851. [pdf]

• M. Giannopoulos, G. Tsagkatakis, and P. Tsakalides, "4D U-Nets for Multi-Temporal Remote Sensing Data Classification," MDPI Remote Sensing, Special Issue on Computer Vision and Pattern Recognition for the Analysis of 2D/3D Remote Sensing Data in Geoscience, 2022, 14(3), 634; https://doi.org/10.3390/rs14030634. [pdf]

• G. Tsagkatakis, M. Moghaddam, and P. Tsakalides, "Deep multi-modal satellite and in-situ observation fusion for Soil Moisture retrieval", IEEE International Geoscience and Remote Sensing Symposium (IGARSS), July 2021 [pdf] [YouTube Video ]

• A. Aidini, G. Tsagkatakis, P. Tsakalides, "Tensor Decomposition Learning for Compression of Multidimensional Signals", IEEE Journal of Selected Topics in Signal Processing, special issue on Tensor Decomposition for Signal Processing and Machine Learning, vol. 15(3) January 2021. [pdf ]

• G. Vernardos, G. Tsagkatakis, and Y. Pantazis, "Quantifying the structure of strong gravitational lens potentials with uncertainty aware deep neural networks," Monthly Notices of the Royal Astronomical Society, October 2020 [pdf] [github ]

• M. Aspri, G. Tsagkatakis, and P. Tsakalides, "Distributed Training and Inference of Deep Learning Models For Multi-Modal Land Cover Classification," in Remote Sensing, Special Issue on "Computational Intelligence and Advanced Learning Techniques in Remote Sensing", August 2020. [pdf]

• G. Tsagkatakis, M. Moghaddam, and P. Tsakalides, "Multi-Temporal Convolutional Neural Networks For Satellite-Derived Soil Moisture Observation Enhancement", IEEE International Geoscience and Remote Sensing Symposium (IGARSS), July 2020 [pdf] [YouTube Video ]

“High-resolution soil moisture retrieval from remote sensing microwave observations” at the ESA-ECMWF Machine Learning for Earth System Observation and Prediction Workshop 2021, 15-18 November 2021 [pdf].