| 2024 | IGARSS | Uncertainty Quantification in Machine Learning Based Retrieval of Soil Moisture from GNSS-R Observations. | Grigorios Tsagkatakis, Amer Melebari, Ruzbeh Akbar, James D. Campbell, Erik Hodges, Mahta Moghaddam |
| 2024 | IGARSS | Soil Moisture Retrieval Using in Situ and Data Simulation Regularized Deep Learning Models. | Grigorios Tsagkatakis, Mahta Moghaddam, Panagiotis Tsakalides |
| 2024 | IGARSS | Unsupervised Change Detection on Multi-Temporal Satellite Images Using Tensor Decomposition Learning. | Anastasia Aidini, Grigorios Tsagkatakis, Panagiotis Tsakalides |
| 2024 | IGARSS | Mapping Wildfire Burned Area Using GNSS-Reflectometry in Densely Vegetated Regions with Complex Topography: A Machine Learning Approach. | Archana Kannan, Amer Melebari, Grigorios Tsagkatakis, Kurtis Nelson, Vinay Ravindra, Sreeja Nag, Mahta Moghaddam |
| 2024 | IGARSS | Physics-Constrained Deep Learning Models for Microwave Retrieval of High-Resolution Soil Moisture. | Archana Kannan, Grigorios Tsagkatakis, Mahta Moghaddam |
| 2023 | ACSSC | Few-Shot Classification Using Tensor Completion. | Anastasia Aidini, Grigorios Tsagkatakis, Nicholas D. Sidiropoulos, Panagiotis Tsakalides |
| 2023 | ACSSC | A Generative Neighborhood-Based Deep Autoencoder with an Extended Loss Function for Robust Imbalanced Classification. | Eirini Troullinou, Grigorios Tsagkatakis, Attila Losonczy, Panayiota Poirazi, Panagiotis Tsakalides |
| 2023 | IGARSS | A New Approach for Downscaling Soil Moisture by Merging Conditional Adversarial Networks and Physics-Based Passive Microwave Retrieval. | Archana Kannan, Grigorios Tsagkatakis, Mahta Moghaddam |
| 2022 | ICASSP | 4D Convolutional Neural Networks for Multi-Spectral and Multi-Temporal Remote Sensing Data Classification. | Michalis Giannopoulos, Grigorios Tsagkatakis, Panagiotis Tsakalides |
| 2022 | IGARSS | Forecasting Soil Moisture Using a Deep Learning Model Integrated with Passive Microwave Retrieval. | Archana Kannan, Grigorios Tsagkatakis, Ruzbeh Akbar, Daniel Selva, Vinay Ravindra, Richard Levinson, Sreeja Nag, Mahta Moghaddam |
| 2021 | IGARSS | Deep multi-modal satellite and in-situ observation fusion for Soil Moisture retrieval. | Grigorios Tsagkatakis, Mahta Moghaddam, Panagiotis Tsakalides |
| 2020 | DCC | Tensor Dictionary Learning with Representation Quantization for Remote Sensing Observation Compression. | Anastasia Aidini, Grigorios Tsagkatakis, Panagiotis Tsakalides |
| 2020 | ICASSP | Quantized Tensor Robust Principal Component Analysis. | Anastasia Aidini, Grigorios Tsagkatakis, Panagiotis Tsakalides |
| 2020 | IGARSS | Multi-Temporal Convolutional Neural Networks for Satellite-Derived Soil Moisture Observation Enhancement. | Grigorios Tsagkatakis, Mahta Moghaddam, Panagiotis Tsakalides |
| 2019 | BIBE | Sparse Representations on DW-MRI: A Study on Pancreas. | Anastasia Pentari, Grigorios Tsagkatakis, Kostas Marias, Georgios C. Manikis, Nikolaos Kartalis, Nikolaos Papanikolaou, Panagiotis Tsakalides |
| 2019 | ICASSP | Alternating Direction Method of Multipliers for Semi-blind Astronomical Image Deconvolution. | Konstantina Fotiadou, Grigorios Tsagkatakis, Panagiotis Tsakalides |
| 2019 | ICASSP | Efficient Convolutional Neural Network Weight Compression for Space Data Classification on Multi-fpga Platforms. | George Pitsis, Grigorios Tsagkatakis, Christos Kozanitis, Ioannis Kalomoiris, Aggelos Ioannou, Apostolos Dollas, Manolis G. H. Katevenis, Panagiotis Tsakalides |
| 2018 | IPAS | 1-Bit Tensor Completion. | Anastasia Aidini, Grigorios Tsagkatakis, Panagiotis Tsakalides |
| 2017 | ESANN | Application of Tensor and Matrix Completion on Environmental Sensing Data. | Michalis Giannopoulos, Sofia Savvaki, Grigorios Tsagkatakis, Panagiotis Tsakalides |
| 2017 | ESANN | Feature Extraction and Learning for RSSI based Indoor Device Localization. | Stavros Timotheatos, Grigorios Tsagkatakis, Panagiotis Tsakalides, Panos E. Trahanias |
| 2014 | ICASSP | Compressed sensing reconstruction of convolved sparse signals. | Grigorios Tsagkatakis, Panagiotis Tsakalides, Arnaud Woiselle, Marc Bousquet, George Tzagkarakis, Jean-Luc Starck |
| 2013 | ICASSP | Sparse representations for hand gesture recognition. | Stergios Poularakis, Grigorios Tsagkatakis, Panagiotis Tsakalides, Ioannis Katsavounidis |
| 2012 | PCS | Compressive video classification for decision systems with limited resources. | George Tzagkarakis, Pavlos Charalampidis, Grigorios Tsagkatakis, Jean-Luc Starck, Panagiotis Tsakalides |
| 2011 | ICIP | Manifold learning for simultaneous pose and facial expression recognition. | Raymond W. Ptucha, Grigorios Tsagkatakis, Andreas E. Savakis |
| 2010 | ECCV | Sparse Representations and Distance Learning for Attribute Based Category Recognition. | Grigorios Tsagkatakis, Andreas E. Savakis |
| 2010 | ICPR | Manifold Modeling with Learned Distance in Random Projection Space for Face Recognition. | Grigorios Tsagkatakis, Andreas E. Savakis |
| 2010 | ISVC | Face Recognition Using Sparse Representations and Manifold Learning. | Grigorios Tsagkatakis, Andreas E. Savakis |
| 2009 | ICIP | Random Projections for face detection under resource constraints. | Grigorios Tsagkatakis, Andreas E. Savakis |
| 2008 | ICIP | Multiple description based image transmission with Low Density Parity Check codes. | Grigorios Tsagkatakis, Michalis E. Zervakis, Andreas E. Savakis |
| 2008 | ICPR | Face Detection in Resource Constrained Wireless Systems. | Grigorios Tsagkatakis, Andreas E. Savakis |