Multiple description based image transmission with Low Density Parity Check codes. - Grigorios Tsagkatakis; Michalis E. Zervakis; Andreas E. Savakis (ICIP, 2008)

Face Detection in Resource Constrained Wireless Systems. - Grigorios Tsagkatakis; Andreas E. Savakis (WMMP, 2008)

A random projections model for object tracking under variable pose and multi-camera views. - Grigorios Tsagkatakis; Andreas E. Savakis (ICDSC, 2009)

Random Projections for face detection under resource constraints. - Grigorios Tsagkatakis; Andreas E. Savakis (ICIP, 2009)

Sparse Representations and Distance Learning for Attribute Based Category Recognition. - Grigorios Tsagkatakis; Andreas E. Savakis (ECCV Workshops (1), 2010)

Manifold Modeling with Learned Distance in Random Projection Space for Face Recognition. - Grigorios Tsagkatakis; Andreas E. Savakis (ICPR, 2010)

Face Recognition Using Sparse Representations and Manifold Learning. - Grigorios Tsagkatakis; Andreas E. Savakis (ISVC (1), 2010)

Manifold based Sparse Representation for robust expression recognition without neutral subtraction. - Raymond W. Ptucha; Grigorios Tsagkatakis; Andreas E. Savakis (ICCV Workshops, 2011)

Manifold learning for simultaneous pose and facial expression recognition. - Raymond W. Ptucha; Grigorios Tsagkatakis; Andreas E. Savakis (ICIP, 2011)

Online Distance Metric Learning for Object Tracking. - Grigorios Tsagkatakis; Andreas E. Savakis (IEEE Trans. Circuits Syst. Video Technol., 2011)

Efficient training for fingerprint based positioning using matrix completion. - Sofia Nikitaki; Grigorios Tsagkatakis; Panagiotis Tsakalides (EUSIPCO, 2012)

Compressive video classification in a low-dimensional manifold with learned distance metric. - George Tzagkarakis; Grigorios Tsagkatakis; Jean-Luc Starck; Panagiotis Tsakalides (EUSIPCO, 2012)

Dictionary based reconstruction and classification of randomly sampled sensor network data. - Grigorios Tsagkatakis; Panagiotis Tsakalides (SAM, 2012)

Efficient high dynamic range imaging via matrix completion. - Grigorios Tsagkatakis; Panagiotis Tsakalides (MLSP, 2012)

Low vision assistance using face detection and tracking on android smartphones. - Andreas E. Savakis; Mark Stump; Grigorios Tsagkatakis; Roy Melton; Gary Behm; Gwen Sterns (MWSCAS, 2012)

Compressive video classification for decision systems with limited resources. - George Tzagkarakis; Pavlos Charalampidis; Grigorios Tsagkatakis; Jean-Luc Starck; Panagiotis Tsakalides (PCS, 2012)

Sparse representations for hand gesture recognition. - Stergios Poularakis; Grigorios Tsagkatakis; Panagiotis Tsakalides; Ioannis Katsavounidis (ICASSP, 2013)

Efficient recalibration via Dynamic Matrix Completion. - Sofia Nikitaki; Grigorios Tsagkatakis; Panagiotis Tsakalides (MLSP, 2013)

Compressed sensing reconstruction of convolved sparse signals. - Grigorios Tsagkatakis; Panagiotis Tsakalides; Arnaud Woiselle; Marc Bousquet; George Tzagkarakis; Jean-Luc Starck (ICASSP, 2014)

Low Light Image Enhancement via Sparse Representations. - Konstantina Fotiadou; Grigorios Tsagkatakis; Panagiotis Tsakalides (ICIAR (1), 2014)

Recovery of quantized compressed sensing measurements. - Grigorios Tsagkatakis; Panagiotis Tsakalides (Computational Imaging, 2015)

Compressed hyperspectral sensing. - Grigorios Tsagkatakis; Panagiotis Tsakalides (IMSE, 2015)

Efficient Multi-Channel Signal Strength Based Localization via Matrix Completion and Bayesian Sparse Learning. - Sofia Nikitaki; Grigorios Tsagkatakis; Panagiotis Tsakalides (IEEE Trans. Mob. Comput., 2015)

Spectral Resolution Enhancement of Hyperspectral Images via Sparse Representations. - Konstantina Fotiadou; Grigorios Tsagkatakis; Panagiotis Tsakalides (Computational Imaging, 2016)

Non-negative Matrix Completion for the Enhancement of Snapshot Mosaic Multispectral Imagery. - Grigorios Tsagkatakis; Murali Jayapala; Bert Geelen; Panagiotis Tsakalides (IMSE, 2016)

Effects of matrix completion on the classification of undersampled human activity data streams. - Sofia Savvaki; Grigorios Tsagkatakis; Athanasia Panousopoulou; Panagiotis Tsakalides (EUSIPCO, 2016)

Singular spectrum-based matrix completion for time series recovery and prediction. - Grigorios Tsagkatakis; Baltasar Beferull-Lozano; Panagiotis Tsakalides (EURASIP J. Adv. Signal Process., 2016)

Land Classification Using Remotely Sensed Data: Going Multilabel. - Konstantinos Karalas; Grigorios Tsagkatakis; Michael E. Zervakis; Panagiotis Tsakalides (IEEE Trans. Geosci. Remote. Sens., 2016)

Deep Convolutional Neural Networks for the Classification of Snapshot Mosaic Hyperspectral Imagery. - Konstantina Fotiadou; Grigorios Tsagkatakis; Panagiotis Tsakalides (Computational Imaging, 2017)

Goal!! Event detection in sports video. - Grigorios Tsagkatakis; Mustafa I. Jaber; Panagiotis Tsakalides (Computer Vision Applications in Sports, 2017)

Application of Tensor and Matrix Completion on Environmental Sensing Data. - Michalis Giannopoulos; Sofia Savvaki; Grigorios Tsagkatakis; Panagiotis Tsakalides (ESANN, 2017)

Feature Extraction and Learning for RSSI based Indoor Device Localization. - Stavros Timotheatos; Grigorios Tsagkatakis; Panagiotis Tsakalides; Panos E. Trahanias (ESANN, 2017)

Denoising galaxy spectra with coupled dictionary learning. - Konstantina Fotiadou; Grigorios Tsagkatakis; Bruno Moraes; Filipe B. Abdalla; Panagiotis Tsakalides (EUSIPCO, 2017)

Dictionary learning for spontaneous neural activity modeling. - Eirini Troullinou; Grigorios Tsagkatakis; Ganna Palagina; Maria Papadopouli; Stelios Manolis Smirnakis; Panagiotis Tsakalides (EUSIPCO, 2017)

Computational Snapshot Spectral Imaging. - Grigorios Tsagkatakis; Panagiotis Tsakalides (ERCIM News, 2017)

Matrix and Tensor Completion on a Human Activity Recognition Framework. - Sofia Savvaki; Grigorios Tsagkatakis; Athanasia Panousopoulou; Panagiotis Tsakalides (IEEE J. Biomed. Health Informatics, 2017)

Recovery of Soil Moisture Active Passive (SMAP) Instrument's Active Measurements via Coupled Dictionary Learning. - Konstantina Fotiadou; Grigorios Tsagkatakis; Mahta Moghaddam; Panagiotis Tsakalides (Computational Imaging, 2018)

Document Bleed-Through Removal Using Sparse Image Inpainting. - Muhammad Hanif 001; Anna Tonazzini; Pasquale Savino; Emanuele Salerno; Gregory Tsagkatakis (DAS, 2018)

On the Impact of Tensor Completion in the Classification of Undersampled Hyperspectral Imagery. - Michalis Giannopoulos; Grigorios Tsagkatakis; Panagiotis Tsakalides (EUSIPCO, 2018)

1-Bit Tensor Completion. - Anastasia Aidini; Grigorios Tsagkatakis; Panagiotis Tsakalides (Image Processing: Algorithms and Systems, 2018)

Convolutional neural networks for the analysis of broadcasted tennis games. - Grigorios Tsagkatakis; Mustafa I. Jaber; Panagiotis Tsakalides (Visual Information Processing and Communication, 2018)

A Distributed Learning Architecture for Scientific Imaging Problems. - Athanasia Panousopoulou; Samuel Farrens; Konstantina Fotiadou; Arnaud Woiselle; Grigorios Tsagkatakis; Jean-Luc Starck; Panagiotis Tsakalides (CoRR, 2018)

Convolutional Neural Networks for Video Quality Assessment. - Michalis Giannopoulos; Grigorios Tsagkatakis; Saverio G. Blasi; Farzad Toutounchi; Athanasios Mouchtaris; Panagiotis Tsakalides; Marta Mrak; Ebroul Izquierdo (CoRR, 2018)

Sparse Representations on DW-MRI: A Study on Pancreas. - Anastasia Pentari; Grigorios Tsagkatakis; Kostas Marias; Georgios C. Manikis; Nikolaos Kartalis; Nikolaos Papanikolaou 003; Panagiotis Tsakalides (BIBE, 2019)

Compression of High-Dimensional Multispectral Image Time Series Using Tensor Decomposition Learning. - Anastasia Aidini; Grigorios Tsagkatakis; Panagiotis Tsakalides (EUSIPCO, 2019)

On Realizing Distributed Deep Neural Networks: An Astrophysics Case Study. - Maria Aspri; Grigorios Tsagkatakis; Athanasia Panousopoulou; Panagiotis Tsakalides (EUSIPCO, 2019)

Alternating Direction Method of Multipliers for Semi-blind Astronomical Image Deconvolution. - Konstantina Fotiadou; Grigorios Tsagkatakis; Panagiotis Tsakalides (ICASSP, 2019)

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 (ICASSP, 2019)

Deep Learning for Multilabel Land Cover Scene Categorization Using Data Augmentation. - Radamanthys Stivaktakis; Grigorios Tsagkatakis; Panagiotis Tsakalides (IEEE Geosci. Remote. Sens. Lett., 2019)

Survey of Deep-Learning Approaches for Remote Sensing Observation Enhancement. - Grigorios Tsagkatakis; Anastasia Aidini; Konstantina Fotiadou; Michalis Giannopoulos; Anastasia Pentari; Panagiotis Tsakalides (Sensors, 2019)

Graph and Rank Regularized Matrix Recovery for Snapshot Spectral Image Demosaicing. - Grigorios Tsagkatakis; Maarten Bloemen; Bert Geelen; Murali Jayapala; Panagiotis Tsakalides (IEEE Trans. Computational Imaging, 2019)

Spectral Super Resolution of Hyperspectral Images via Coupled Dictionary Learning. - Konstantina Fotiadou; Grigorios Tsagkatakis; Panagiotis Tsakalides (IEEE Trans. Geosci. Remote. Sens., 2019)

Tensor Dictionary Learning with Representation Quantization for Remote Sensing Observation Compression. - Anastasia Aidini; Grigorios Tsagkatakis; Panagiotis Tsakalides (DCC, 2020)

Fish Freshness Estimation though analysis of Multispectral Images with Convolutional Neural Networks. - Grigorios Tsagkatakis; Savas Nikolidakis; Eleni Petra; Argyris Kapantagakis; Kriton Grigorakis; George Katselis; Nikos Vlahos; Panagiotis Tsakalides (Food and Agricultural Imaging Systems, 2020)

Quantized Tensor Robust Principal Component Analysis. - Anastasia Aidini; Grigorios Tsagkatakis; Panagiotis Tsakalides (ICASSP, 2020)

Multi-Temporal Convolutional Neural Networks for Satellite-Derived Soil Moisture Observation Enhancement. - Grigorios Tsagkatakis; Mahta Moghaddam; Panagiotis Tsakalides (IGARSS, 2020)

Adversarial dictionary learning for a robust analysis and modelling of spontaneous neuronal activity. - Eirini Troullinou; Grigorios Tsagkatakis; Ganna Palagina; Maria Papadopouli; Stelios Manolis Smirnakis; Panagiotis Tsakalides (Neurocomputing, 2020)

Semantic Predictive Coding with Arbitrated Generative Adversarial Networks. - Radamanthys Stivaktakis; Grigorios Tsagkatakis; Panagiotis Tsakalides (Mach. Learn. Knowl. Extr., 2020)

Distributed Training and Inference of Deep Learning Models for Multi-Modal Land Cover Classification. - Maria Aspri; Grigorios Tsagkatakis; Panagiotis Tsakalides (Remote. Sens., 2020)

Convolutional Neural Networks for Spectroscopic Redshift Estimation on Euclid Data. - Radamanthys Stivaktakis; Grigorios Tsagkatakis; Bruno Moraes; Filipe B. Abdalla; Jean-Luc Starck; Panagiotis Tsakalides (IEEE Trans. Big Data, 2020)

Snapshot High Dynamic Range Imaging via Sparse Representations and Feature Learning. - Konstantina Fotiadou; Grigorios Tsagkatakis; Panagiotis Tsakalides (IEEE Trans. Multim., 2020)

Knowledge distillation from multispectral Images for fish freshness estimation. - Grigorios Tsagkatakis; Stylianos Roubakis; Savas Nikolidakis; Eleni Petra; Athanasios Mantes; Argyris Kapantagakis; Kriton Grigorakis; George Katselis; Nikos Vlahos; Panagiotis Tsakalides (Food and Agricultural Imaging Systems, 2021)

Deep multi-modal satellite and in-situ observation fusion for Soil Moisture retrieval. - Grigorios Tsagkatakis; Mahta Moghaddam; Panagiotis Tsakalides (IGARSS, 2021)

Tensor Decomposition Learning for Compression of Multidimensional Signals. - Anastasia Aidini; Grigorios Tsagkatakis; Panagiotis Tsakalides (IEEE J. Sel. Top. Signal Process., 2021)

Artificial Neural Networks in Action for an Automated Cell-Type Classification of Biological Neural Networks. - Eirini Troullinou; Grigorios Tsagkatakis; Spyridon Chavlis; Gergely F. Turi; Wen-Ke Li; Attila Losonczy; Panagiotis Tsakalides; Panayiota Poirazi (IEEE Trans. Emerg. Top. Comput. Intell., 2021)

4D Convolutional Neural Networks for Multi-Spectral and Multi-Temporal Remote Sensing Data Classification. - Michalis Giannopoulos; Grigorios Tsagkatakis; Panagiotis Tsakalides (ICASSP, 2022)

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 (IGARSS, 2022)

4D U-Nets for Multi-Temporal Remote Sensing Data Classification. - Michalis Giannopoulos; Grigorios Tsagkatakis; Panagiotis Tsakalides (Remote. Sens., 2022)

Embedded Temporal Convolutional Networks for Essential Climate Variables Forecasting. - Maria Myrto Villia; Grigorios Tsagkatakis; Mahta Moghaddam; Panagiotis Tsakalides (Sensors, 2022)

OmbriaNet - Supervised Flood Mapping via Convolutional Neural Networks Using Multitemporal Sentinel-1 and Sentinel-2 Data Fusion. - Georgios I. Drakonakis; Grigorios Tsagkatakis; Konstantina Fotiadou; Panagiotis Tsakalides (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022)

Dataset for Embedded Temporal Convolutional Networks for Essential Climate Variables Forecasting. - Maria Myrto Villia; Grigorios Tsagkatakis; Mahta Moghaddam; Panagiotis Tsakalides (Zenodo, 2022)

Few-Shot Classification Using Tensor Completion. - Anastasia Aidini; Grigorios Tsagkatakis; Nicholas D. Sidiropoulos; Panagiotis Tsakalides (ACSSC, 2023)

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 (ACSSC, 2023)

A New Approach for Downscaling Soil Moisture by Merging Conditional Adversarial Networks and Physics-Based Passive Microwave Retrieval. - Archana Kannan; Grigorios Tsagkatakis; Mahta Moghaddam (IGARSS, 2023)

Integrating Visual and Network Data with Deep Learning for Streaming Video Quality Assessment. - George Margetis; Grigorios Tsagkatakis; Stefania Stamou; Constantine Stephanidis (Sensors, 2023)

Leveraging Sparse Input and Sparse Models: Efficient Distributed Learning in Resource-Constrained Environments. - Emmanouil Kariotakis; Grigorios Tsagkatakis; Panagiotis Tsakalides; Anastasios Kyrillidis (CPAL, 2024)

Unsupervised Change Detection on Multi-Temporal Satellite Images Using Tensor Decomposition Learning. - Anastasia Aidini; Grigorios Tsagkatakis; Panagiotis Tsakalides (IGARSS, 2024)

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 (IGARSS, 2024)

Physics-Constrained Deep Learning Models for Microwave Retrieval of High-Resolution Soil Moisture. - Archana Kannan; Grigorios Tsagkatakis; Mahta Moghaddam (IGARSS, 2024)

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 (IGARSS, 2024)

Soil Moisture Retrieval Using in Situ and Data Simulation Regularized Deep Learning Models. - Grigorios Tsagkatakis; Mahta Moghaddam; Panagiotis Tsakalides (IGARSS, 2024)

A Generative Neighborhood-Based Deep Autoencoder for Robust Imbalanced Classification. - Eirini Troullinou; Grigorios Tsagkatakis; Attila Losonczy; Panayiota Poirazi; Panagiotis Tsakalides (IEEE Trans. Artif. Intell., 2024)

Higher-Order Convolutional Neural Networks for Essential Climate Variables Forecasting. - Michalis Giannopoulos; Grigorios Tsagkatakis; Panagiotis Tsakalides (Remote. Sens., 2024)

Federated Learning for Remote Sensing Image Classification Using Sparse Image Representations. - Christina Kopidaki; Grigorios Tsagkatakis; Panagiotis Tsakalides (IEEE Geosci. Remote. Sens. Lett., 2025)