Grigorios Tsagkatakis

87 papers B 7C 11Misc 8Journal 28Unranked 30

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Federated Learning for Remote Sensing Image Classification Using Sparse Image Representations. IEEE Geosci. Remote. Sens. Lett. Christina Kopidaki, Grigorios Tsagkatakis, Panagiotis Tsakalides
2024	J	`jnl`	A Generative Neighborhood-Based Deep Autoencoder for Robust Imbalanced Classification. IEEE Trans. Artif. Intell. Eirini Troullinou, Grigorios Tsagkatakis, Attila Losonczy, Panayiota Poirazi, Panagiotis Tsakalides
2024	J	`jnl`	Higher-Order Convolutional Neural Networks for Essential Climate Variables Forecasting. Remote. Sens. Michalis Giannopoulos, Grigorios Tsagkatakis, Panagiotis Tsakalides
2024	—	`conf`	Leveraging Sparse Input and Sparse Models: Efficient Distributed Learning in Resource-Constrained Environments. CPAL Emmanouil Kariotakis, Grigorios Tsagkatakis, Panagiotis Tsakalides, Anastasios Kyrillidis
2024	C	`conf`	Mapping Wildfire Burned Area Using GNSS-Reflectometry in Densely Vegetated Regions with Complex Topography: A Machine Learning Approach. IGARSS Archana Kannan, Amer Melebari, Grigorios Tsagkatakis, Kurtis Nelson, Vinay Ravindra, Sreeja Nag, Mahta Moghaddam
2024	C	`conf`	Physics-Constrained Deep Learning Models for Microwave Retrieval of High-Resolution Soil Moisture. IGARSS Archana Kannan, Grigorios Tsagkatakis, Mahta Moghaddam
2024	C	`conf`	Soil Moisture Retrieval Using in Situ and Data Simulation Regularized Deep Learning Models. IGARSS Grigorios Tsagkatakis, Mahta Moghaddam, Panagiotis Tsakalides
2024	C	`conf`	Uncertainty Quantification in Machine Learning Based Retrieval of Soil Moisture from GNSS-R Observations. IGARSS Grigorios Tsagkatakis, Amer Melebari, Ruzbeh Akbar, James D. Campbell, Erik Hodges, Mahta Moghaddam
2024	C	`conf`	Unsupervised Change Detection on Multi-Temporal Satellite Images Using Tensor Decomposition Learning. IGARSS Anastasia Aidini, Grigorios Tsagkatakis, Panagiotis Tsakalides
2023	Misc	`conf`	A Generative Neighborhood-Based Deep Autoencoder with an Extended Loss Function for Robust Imbalanced Classification. ACSSC Eirini Troullinou, Grigorios Tsagkatakis, Attila Losonczy, Panayiota Poirazi, Panagiotis Tsakalides
2023	C	`conf`	A New Approach for Downscaling Soil Moisture by Merging Conditional Adversarial Networks and Physics-Based Passive Microwave Retrieval. IGARSS Archana Kannan, Grigorios Tsagkatakis, Mahta Moghaddam
2023	Misc	`conf`	Few-Shot Classification Using Tensor Completion. ACSSC Anastasia Aidini, Grigorios Tsagkatakis, Nicholas D. Sidiropoulos, Panagiotis Tsakalides
2023	J	`jnl`	Integrating Visual and Network Data with Deep Learning for Streaming Video Quality Assessment. Sensors George Margetis, Grigorios Tsagkatakis, Stefania Stamou, Constantine Stephanidis
2022	Misc	`conf`	4D Convolutional Neural Networks for Multi-Spectral and Multi-Temporal Remote Sensing Data Classification. ICASSP Michalis Giannopoulos, Grigorios Tsagkatakis, Panagiotis Tsakalides
2022	J	`jnl`	4D U-Nets for Multi-Temporal Remote Sensing Data Classification. Remote. Sens. Michalis Giannopoulos, Grigorios Tsagkatakis, Panagiotis Tsakalides
2022	J	`jnl`	Embedded Temporal Convolutional Networks for Essential Climate Variables Forecasting. Sensors Maria Myrto Villia, Grigorios Tsagkatakis, Mahta Moghaddam, Panagiotis Tsakalides
2022	C	`conf`	Forecasting Soil Moisture Using a Deep Learning Model Integrated with Passive Microwave Retrieval. IGARSS Archana Kannan, Grigorios Tsagkatakis, Ruzbeh Akbar, Daniel Selva, Vinay Ravindra, Richard Levinson, Sreeja Nag, Mahta Moghaddam
2022	J	`jnl`	OmbriaNet - Supervised Flood Mapping via Convolutional Neural Networks Using Multitemporal Sentinel-1 and Sentinel-2 Data Fusion. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Georgios I. Drakonakis, Grigorios Tsagkatakis, Konstantina Fotiadou, Panagiotis Tsakalides
2021	J	`jnl`	Artificial Neural Networks in Action for an Automated Cell-Type Classification of Biological Neural Networks. IEEE Trans. Emerg. Top. Comput. Intell. Eirini Troullinou, Grigorios Tsagkatakis, Spyridon Chavlis, Gergely F. Turi, Wen-Ke Li, Attila Losonczy, Panagiotis Tsakalides, Panayiota Poirazi
2021	C	`conf`	Deep multi-modal satellite and in-situ observation fusion for Soil Moisture retrieval. IGARSS Grigorios Tsagkatakis, Mahta Moghaddam, Panagiotis Tsakalides
2021	—	`ed.`	Food and Agricultural Imaging Systems 2021, online, January 11-28, 2021 Food and Agricultural Imaging Systems Mustafa I. Jaber, Grigorios Tsagkatakis, Mohammed Yousefhussien
2021	—	`conf`	Knowledge distillation from multispectral Images for fish freshness estimation. Food and Agricultural Imaging Systems Grigorios Tsagkatakis, Stylianos Roubakis, Savas Nikolidakis, Eleni Petra, Athanasios Mantes, Argyris Kapantagakis, Kriton Grigorakis, George Katselis, Nikos Vlahos, Panagiotis Tsakalides
2021	J	`jnl`	Tensor Decomposition Learning for Compression of Multidimensional Signals. IEEE J. Sel. Top. Signal Process. Anastasia Aidini, Grigorios Tsagkatakis, Panagiotis Tsakalides
2020	J	`jnl`	Adversarial dictionary learning for a robust analysis and modelling of spontaneous neuronal activity. Neurocomputing Eirini Troullinou, Grigorios Tsagkatakis, Ganna Palagina, Maria Papadopouli, Stelios Manolis Smirnakis, Panagiotis Tsakalides
2020	J	`jnl`	Convolutional Neural Networks for Spectroscopic Redshift Estimation on Euclid Data. IEEE Trans. Big Data Radamanthys Stivaktakis, Grigorios Tsagkatakis, Bruno Moraes, Filipe B. Abdalla, Jean-Luc Starck, Panagiotis Tsakalides
2020	J	`jnl`	Distributed Training and Inference of Deep Learning Models for Multi-Modal Land Cover Classification. Remote. Sens. Maria Aspri, Grigorios Tsagkatakis, Panagiotis Tsakalides
2020	—	`conf`	Fish Freshness Estimation though analysis of Multispectral Images with Convolutional Neural Networks. Food and Agricultural Imaging Systems Grigorios Tsagkatakis, Savas Nikolidakis, Eleni Petra, Argyris Kapantagakis, Kriton Grigorakis, George Katselis, Nikos Vlahos, Panagiotis Tsakalides
2020	—	`ed.`	Food and Agricultural Imaging Systems 2020, Burlingame, CA, USA, January 26-30, 2020 Food and Agricultural Imaging Systems Mustafa I. Jaber, Grigorios Tsagkatakis, Mohammed Yousefhussien
2020	C	`conf`	Multi-Temporal Convolutional Neural Networks for Satellite-Derived Soil Moisture Observation Enhancement. IGARSS Grigorios Tsagkatakis, Mahta Moghaddam, Panagiotis Tsakalides
2020	Misc	`conf`	Quantized Tensor Robust Principal Component Analysis. ICASSP Anastasia Aidini, Grigorios Tsagkatakis, Panagiotis Tsakalides
2020	J	`jnl`	Semantic Predictive Coding with Arbitrated Generative Adversarial Networks. Mach. Learn. Knowl. Extr. Radamanthys Stivaktakis, Grigorios Tsagkatakis, Panagiotis Tsakalides
2020	J	`jnl`	Snapshot High Dynamic Range Imaging via Sparse Representations and Feature Learning. IEEE Trans. Multim. Konstantina Fotiadou, Grigorios Tsagkatakis, Panagiotis Tsakalides
2020	B	`conf`	Tensor Dictionary Learning with Representation Quantization for Remote Sensing Observation Compression. DCC Anastasia Aidini, Grigorios Tsagkatakis, Panagiotis Tsakalides
2019	J	`jnl`	Adversarial dictionary learning for a robust analysis and modelling of spontaneous neuronal activity. CoRR Eirini Troullinou, Grigorios Tsagkatakis, Ganna Palagina, Maria Papadopouli, Stelios Manolis Smirnakis, Panagiotis Tsakalides
2019	Misc	`conf`	Alternating Direction Method of Multipliers for Semi-blind Astronomical Image Deconvolution. ICASSP Konstantina Fotiadou, Grigorios Tsagkatakis, Panagiotis Tsakalides
2019	J	`jnl`	Artificial neural networks in action for an automated cell-type classification of biological neural networks. CoRR Eirini Troullinou, Grigorios Tsagkatakis, Spyridon Chavlis, Gergely F. Turi, Wen-Ke Li, Attila Losonczy, Panagiotis Tsakalides, Panayiota Poirazi
2019	—	`conf`	Compression of High-Dimensional Multispectral Image Time Series Using Tensor Decomposition Learning. EUSIPCO Anastasia Aidini, Grigorios Tsagkatakis, Panagiotis Tsakalides
2019	J	`jnl`	Deep Learning for Multilabel Land Cover Scene Categorization Using Data Augmentation. IEEE Geosci. Remote. Sens. Lett. Radamanthys Stivaktakis, Grigorios Tsagkatakis, Panagiotis Tsakalides
2019	Misc	`conf`	Efficient Convolutional Neural Network Weight Compression for Space Data Classification on Multi-fpga Platforms. ICASSP George Pitsis, Grigorios Tsagkatakis, Christos Kozanitis, Ioannis Kalomoiris, Aggelos Ioannou, Apostolos Dollas, Manolis G. H. Katevenis, Panagiotis Tsakalides
2019	J	`jnl`	Graph and Rank Regularized Matrix Recovery for Snapshot Spectral Image Demosaicing. IEEE Trans. Computational Imaging Grigorios Tsagkatakis, Maarten Bloemen, Bert Geelen, Murali Jayapala, Panagiotis Tsakalides
2019	—	`conf`	On Realizing Distributed Deep Neural Networks: An Astrophysics Case Study. EUSIPCO Maria Aspri, Grigorios Tsagkatakis, Athanasia Panousopoulou, Panagiotis Tsakalides
2019	C	`conf`	Sparse Representations on DW-MRI: A Study on Pancreas. BIBE Anastasia Pentari, Grigorios Tsagkatakis, Kostas Marias, Georgios C. Manikis, Nikolaos Kartalis, Nikolaos Papanikolaou, Panagiotis Tsakalides
2019	J	`jnl`	Spectral Super Resolution of Hyperspectral Images via Coupled Dictionary Learning. IEEE Trans. Geosci. Remote. Sens. Konstantina Fotiadou, Grigorios Tsagkatakis, Panagiotis Tsakalides
2019	J	`jnl`	Survey of Deep-Learning Approaches for Remote Sensing Observation Enhancement. Sensors Grigorios Tsagkatakis, Anastasia Aidini, Konstantina Fotiadou, Michalis Giannopoulos, Anastasia Pentari, Panagiotis Tsakalides
2018	—	`conf`	1-Bit Tensor Completion. Image Processing: Algorithms and Systems Anastasia Aidini, Grigorios Tsagkatakis, Panagiotis Tsakalides
2018	J	`jnl`	A Distributed Learning Architecture for Scientific Imaging Problems. CoRR Athanasia Panousopoulou, Samuel Farrens, Konstantina Fotiadou, Arnaud Woiselle, Grigorios Tsagkatakis, Jean-Luc Starck, Panagiotis Tsakalides
2018	J	`jnl`	Convolutional Neural Networks for Video Quality Assessment. CoRR Michalis Giannopoulos, Grigorios Tsagkatakis, Saverio G. Blasi, Farzad Toutounchi, Athanasios Mouchtaris, Panagiotis Tsakalides, Marta Mrak, Ebroul Izquierdo
2018	—	`conf`	Convolutional neural networks for the analysis of broadcasted tennis games. Visual Information Processing and Communication Grigorios Tsagkatakis, Mustafa I. Jaber, Panagiotis Tsakalides
2018	—	`conf`	On the Impact of Tensor Completion in the Classification of Undersampled Hyperspectral Imagery. EUSIPCO Michalis Giannopoulos, Grigorios Tsagkatakis, Panagiotis Tsakalides
2018	—	`conf`	Recovery of Soil Moisture Active Passive (SMAP) Instrument's Active Measurements via Coupled Dictionary Learning. Computational Imaging Konstantina Fotiadou, Grigorios Tsagkatakis, Mahta Moghaddam, Panagiotis Tsakalides
2017	B	`conf`	Application of Tensor and Matrix Completion on Environmental Sensing Data. ESANN Michalis Giannopoulos, Sofia Savvaki, Grigorios Tsagkatakis, Panagiotis Tsakalides
2017	J	`jnl`	Computational Snapshot Spectral Imaging. ERCIM News Grigorios Tsagkatakis, Panagiotis Tsakalides
2017	—	`ed.`	Computer Vision Applications in Sports, Burlingame, CA, USA, January 29 - February 2, 2017 Computer Vision Applications in Sports Mustafa I. Jaber, Grigorios Tsagkatakis
2017	—	`conf`	Deep Convolutional Neural Networks for the Classification of Snapshot Mosaic Hyperspectral Imagery. Computational Imaging Konstantina Fotiadou, Grigorios Tsagkatakis, Panagiotis Tsakalides
2017	—	`conf`	Denoising galaxy spectra with coupled dictionary learning. EUSIPCO Konstantina Fotiadou, Grigorios Tsagkatakis, Bruno Moraes, Filipe B. Abdalla, Panagiotis Tsakalides
2017	—	`conf`	Dictionary learning for spontaneous neural activity modeling. EUSIPCO Eirini Troullinou, Grigorios Tsagkatakis, Ganna Palagina, Maria Papadopouli, Stelios Manolis Smirnakis, Panagiotis Tsakalides
2017	B	`conf`	Feature Extraction and Learning for RSSI based Indoor Device Localization. ESANN Stavros Timotheatos, Grigorios Tsagkatakis, Panagiotis Tsakalides, Panos E. Trahanias
2017	—	`conf`	Goal!! Event detection in sports video. Computer Vision Applications in Sports Grigorios Tsagkatakis, Mustafa I. Jaber, Panagiotis Tsakalides
2017	J	`jnl`	Matrix and Tensor Completion on a Human Activity Recognition Framework. IEEE J. Biomed. Health Informatics Sofia Savvaki, Grigorios Tsagkatakis, Athanasia Panousopoulou, Panagiotis Tsakalides
2016	—	`conf`	Effects of matrix completion on the classification of undersampled human activity data streams. EUSIPCO Sofia Savvaki, Grigorios Tsagkatakis, Athanasia Panousopoulou, Panagiotis Tsakalides
2016	J	`jnl`	Land Classification Using Remotely Sensed Data: Going Multilabel. IEEE Trans. Geosci. Remote. Sens. Konstantinos Karalas, Grigorios Tsagkatakis, Michael E. Zervakis, Panagiotis Tsakalides
2016	—	`conf`	Non-negative Matrix Completion for the Enhancement of Snapshot Mosaic Multispectral Imagery. IMSE Grigorios Tsagkatakis, Murali Jayapala, Bert Geelen, Panagiotis Tsakalides
2016	J	`jnl`	Singular spectrum-based matrix completion for time series recovery and prediction. EURASIP J. Adv. Signal Process. Grigorios Tsagkatakis, Baltasar Beferull-Lozano, Panagiotis Tsakalides
2016	—	`conf`	Spectral Resolution Enhancement of Hyperspectral Images via Sparse Representations. Computational Imaging Konstantina Fotiadou, Grigorios Tsagkatakis, Panagiotis Tsakalides
2015	—	`conf`	Compressed hyperspectral sensing. IMSE Grigorios Tsagkatakis, Panagiotis Tsakalides
2015	J	`jnl`	Efficient Multi-Channel Signal Strength Based Localization via Matrix Completion and Bayesian Sparse Learning. IEEE Trans. Mob. Comput. Sofia Nikitaki, Grigorios Tsagkatakis, Panagiotis Tsakalides
2015	—	`conf`	Recovery of quantized compressed sensing measurements. Computational Imaging Grigorios Tsagkatakis, Panagiotis Tsakalides
2014	Misc	`conf`	Compressed sensing reconstruction of convolved sparse signals. ICASSP Grigorios Tsagkatakis, Panagiotis Tsakalides, Arnaud Woiselle, Marc Bousquet, George Tzagkarakis, Jean-Luc Starck
2014	—	`conf`	Low Light Image Enhancement via Sparse Representations. ICIAR (1) Konstantina Fotiadou, Grigorios Tsagkatakis, Panagiotis Tsakalides
2013	—	`conf`	Efficient recalibration via Dynamic Matrix Completion. MLSP Sofia Nikitaki, Grigorios Tsagkatakis, Panagiotis Tsakalides
2013	Misc	`conf`	Sparse representations for hand gesture recognition. ICASSP Stergios Poularakis, Grigorios Tsagkatakis, Panagiotis Tsakalides, Ioannis Katsavounidis
2012	C	`conf`	Compressive video classification for decision systems with limited resources. PCS George Tzagkarakis, Pavlos Charalampidis, Grigorios Tsagkatakis, Jean-Luc Starck, Panagiotis Tsakalides
2012	—	`conf`	Compressive video classification in a low-dimensional manifold with learned distance metric. EUSIPCO George Tzagkarakis, Grigorios Tsagkatakis, Jean-Luc Starck, Panagiotis Tsakalides
2012	—	`conf`	Dictionary based reconstruction and classification of randomly sampled sensor network data. SAM Grigorios Tsagkatakis, Panagiotis Tsakalides
2012	—	`conf`	Efficient high dynamic range imaging via matrix completion. MLSP Grigorios Tsagkatakis, Panagiotis Tsakalides
2012	—	`conf`	Efficient training for fingerprint based positioning using matrix completion. EUSIPCO Sofia Nikitaki, Grigorios Tsagkatakis, Panagiotis Tsakalides
2012	—	`conf`	Low vision assistance using face detection and tracking on android smartphones. MWSCAS Andreas E. Savakis, Mark Stump, Grigorios Tsagkatakis, Roy Melton, Gary Behm, Gwen Sterns
2011	—	`conf`	Manifold based Sparse Representation for robust expression recognition without neutral subtraction. ICCV Workshops Raymond W. Ptucha, Grigorios Tsagkatakis, Andreas E. Savakis
2011	B	`conf`	Manifold learning for simultaneous pose and facial expression recognition. ICIP Raymond W. Ptucha, Grigorios Tsagkatakis, Andreas E. Savakis
2011	J	`jnl`	Online Distance Metric Learning for Object Tracking. IEEE Trans. Circuits Syst. Video Technol. Grigorios Tsagkatakis, Andreas E. Savakis
2010	—	`conf`	Face Recognition Using Sparse Representations and Manifold Learning. ISVC (1) Grigorios Tsagkatakis, Andreas E. Savakis
2010	B	`conf`	Manifold Modeling with Learned Distance in Random Projection Space for Face Recognition. ICPR Grigorios Tsagkatakis, Andreas E. Savakis
2010	—	`conf`	Sparse Representations and Distance Learning for Attribute Based Category Recognition. ECCV Workshops (1) Grigorios Tsagkatakis, Andreas E. Savakis
2009	—	`conf`	A random projections model for object tracking under variable pose and multi-camera views. ICDSC Grigorios Tsagkatakis, Andreas E. Savakis
2009	B	`conf`	Random Projections for face detection under resource constraints. ICIP Grigorios Tsagkatakis, Andreas E. Savakis
2008	—	`conf`	Face Detection in Resource Constrained Wireless Systems. WMMP Grigorios Tsagkatakis, Andreas E. Savakis
2008	B	`conf`	Multiple description based image transmission with Low Density Parity Check codes. ICIP Grigorios Tsagkatakis, Michalis E. Zervakis, Andreas E. Savakis