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ORCIDGrigorios Tsagkatakis
Gregory Tsagkatakis
Person information
- affiliation: Computer Science Department, University of Crete, Greece
- affiliation: Foundation for Research and Technology - Hellas, Heraklion, Greece
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2020 – today
- 2024
[j22]Michalis Giannopoulos
, Grigorios Tsagkatakis, Panagiotis Tsakalides:
Higher-Order Convolutional Neural Networks for Essential Climate Variables Forecasting. Remote. Sens. 16(11): 2020 (2024)- [j21]Eirini Troullinou, Grigorios Tsagkatakis, Attila Losonczy, Panayiota Poirazi, Panagiotis Tsakalides:
A Generative Neighborhood-Based Deep Autoencoder for Robust Imbalanced Classification. IEEE Trans. Artif. Intell. 5(1): 80-91 (2024) - [c56]Grigorios Tsagkatakis, Mahta Moghaddam, Panagiotis Tsakalides:
Soil Moisture Retrieval Using in Situ and Data Simulation Regularized Deep Learning Models. IGARSS 2024: 1029-1033 - [c55]Archana Kannan, Grigorios Tsagkatakis, Mahta Moghaddam:
Physics-Constrained Deep Learning Models for Microwave Retrieval of High-Resolution Soil Moisture. IGARSS 2024: 1478-1480 - [c54]Grigorios Tsagkatakis, Amer Melebari, Ruzbeh Akbar, James D. Campbell, Erik Hodges, Mahta Moghaddam:
Uncertainty Quantification in Machine Learning Based Retrieval of Soil Moisture from GNSS-R Observations. IGARSS 2024: 1824-1828 - [c53]Archana Kannan, Amer Melebari, Grigorios Tsagkatakis, Kurtis Nelson, Vinay Ravindra, Sreeja Nag, Mahta Moghaddam:
Mapping Wildfire Burned Area Using GNSS-Reflectometry in Densely Vegetated Regions with Complex Topography: A Machine Learning Approach. IGARSS 2024: 2072-2076 - [c52]Anastasia Aidini, Grigorios Tsagkatakis, Panagiotis Tsakalides:
Unsupervised Change Detection on Multi-Temporal Satellite Images Using Tensor Decomposition Learning. IGARSS 2024: 8495-8499 - 2023
- [j20]George Margetis, Grigorios Tsagkatakis, Stefania Stamou, Constantine Stephanidis:
Integrating Visual and Network Data with Deep Learning for Streaming Video Quality Assessment. Sensors 23(8): 3998 (2023) - [c51]Eirini Troullinou, Grigorios Tsagkatakis, Attila Losonczy, Panayiota Poirazi, Panagiotis Tsakalides:
A Generative Neighborhood-Based Deep Autoencoder with an Extended Loss Function for Robust Imbalanced Classification. ACSSC 2023: 1015-1019 - [c50]Anastasia Aidini, Grigorios Tsagkatakis, Nicholas D. Sidiropoulos, Panagiotis Tsakalides:
Few-Shot Classification Using Tensor Completion. ACSSC 2023: 1283-1287 - [c49]Archana Kannan, Grigorios Tsagkatakis, Mahta Moghaddam:
A New Approach for Downscaling Soil Moisture by Merging Conditional Adversarial Networks and Physics-Based Passive Microwave Retrieval. IGARSS 2023: 4867-4870 - 2022
- [j19]Michalis Giannopoulos, Grigorios Tsagkatakis, Panagiotis Tsakalides:
4D U-Nets for Multi-Temporal Remote Sensing Data Classification. Remote. Sens. 14(3): 634 (2022) - [j18]Maria Myrto Villia, Grigorios Tsagkatakis, Mahta Moghaddam, Panagiotis Tsakalides:
Embedded Temporal Convolutional Networks for Essential Climate Variables Forecasting. Sensors 22(5): 1851 (2022) - [j17]Georgios I. Drakonakis, Grigorios Tsagkatakis, Konstantina Fotiadou, Panagiotis Tsakalides:
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. 15: 2341-2356 (2022) - [c48]Michalis Giannopoulos, Grigorios Tsagkatakis, Panagiotis Tsakalides:
4D Convolutional Neural Networks for Multi-Spectral and Multi-Temporal Remote Sensing Data Classification. ICASSP 2022: 1541-1545 - [c47]Archana Kannan, Grigorios Tsagkatakis, Ruzbeh Akbar, Daniel Selva, Vinay Ravindra, Richard Levinson, Sreeja Nag, Mahta Moghaddam:
Forecasting Soil Moisture Using a Deep Learning Model Integrated with Passive Microwave Retrieval. IGARSS 2022: 6112-6114 - 2021
- [j16]Anastasia Aidini, Grigorios Tsagkatakis, Panagiotis Tsakalides:
Tensor Decomposition Learning for Compression of Multidimensional Signals. IEEE J. Sel. Top. Signal Process. 15(3): 476-490 (2021) - [j15]Eirini Troullinou, Grigorios Tsagkatakis, Spyridon Chavlis, Gergely F. Turi, Wen-Ke Li, Attila Losonczy, Panagiotis Tsakalides, Panayiota Poirazi:
Artificial Neural Networks in Action for an Automated Cell-Type Classification of Biological Neural Networks. IEEE Trans. Emerg. Top. Comput. Intell. 5(5): 755-767 (2021) - [c46]Grigorios Tsagkatakis, Stylianos Roubakis, Savas Nikolidakis, Eleni Petra, Athanasios Mantes, Argyris Kapantagakis, Kriton Grigorakis, George Katselis, Nikos Vlahos, Panagiotis Tsakalides:
Knowledge distillation from multispectral Images for fish freshness estimation. Food and Agricultural Imaging Systems 2021: 1-7 - [c45]Grigorios Tsagkatakis, Mahta Moghaddam, Panagiotis Tsakalides:
Deep multi-modal satellite and in-situ observation fusion for Soil Moisture retrieval. IGARSS 2021: 6339-6342 - [e3]Mustafa I. Jaber, Grigorios Tsagkatakis, Mohammed Yousefhussien:
Food and Agricultural Imaging Systems 2021, online, January 11-28, 2021. Society for Imaging Science and Technology 2021 [contents] - 2020
- [j14]Eirini Troullinou, Grigorios Tsagkatakis, Ganna Palagina, Maria Papadopouli, Stelios Manolis Smirnakis, Panagiotis Tsakalides:
Adversarial dictionary learning for a robust analysis and modelling of spontaneous neuronal activity. Neurocomputing 388: 188-201 (2020) - [j13]Radamanthys Stivaktakis, Grigorios Tsagkatakis, Panagiotis Tsakalides:
Semantic Predictive Coding with Arbitrated Generative Adversarial Networks. Mach. Learn. Knowl. Extr. 2(3): 307-326 (2020) - [j12]Maria Aspri, Grigorios Tsagkatakis, Panagiotis Tsakalides:
Distributed Training and Inference of Deep Learning Models for Multi-Modal Land Cover Classification. Remote. Sens. 12(17): 2670 (2020) - [j11]Radamanthys Stivaktakis, Grigorios Tsagkatakis, Bruno Moraes, Filipe B. Abdalla, Jean-Luc Starck, Panagiotis Tsakalides:
Convolutional Neural Networks for Spectroscopic Redshift Estimation on Euclid Data. IEEE Trans. Big Data 6(3): 460-476 (2020) - [j10]Konstantina Fotiadou, Grigorios Tsagkatakis, Panagiotis Tsakalides:
Snapshot High Dynamic Range Imaging via Sparse Representations and Feature Learning. IEEE Trans. Multim. 22(3): 688-703 (2020) - [c44]Anastasia Aidini, Grigorios Tsagkatakis, Panagiotis Tsakalides:
Tensor Dictionary Learning with Representation Quantization for Remote Sensing Observation Compression. DCC 2020: 283-292 - [c43]Grigorios Tsagkatakis, Savas Nikolidakis, Eleni Petra, Argyris Kapantagakis, Kriton Grigorakis, George Katselis, Nikos Vlahos, Panagiotis Tsakalides:
Fish Freshness Estimation though analysis of Multispectral Images with Convolutional Neural Networks. Food and Agricultural Imaging Systems 2020: 1-5 - [c42]Anastasia Aidini, Grigorios Tsagkatakis, Panagiotis Tsakalides:
Quantized Tensor Robust Principal Component Analysis. ICASSP 2020: 2453-2457 - [c41]Grigorios Tsagkatakis, Mahta Moghaddam, Panagiotis Tsakalides:
Multi-Temporal Convolutional Neural Networks for Satellite-Derived Soil Moisture Observation Enhancement. IGARSS 2020: 4602-4605 - [e2]Mustafa I. Jaber, Grigorios Tsagkatakis, Mohammed Yousefhussien:
Food and Agricultural Imaging Systems 2020, Burlingame, CA, USA, January 26-30, 2020. Society for Imaging Science and Technology 2020 [contents]
2010 – 2019
- 2019
- [j9]Radamanthys Stivaktakis, Grigorios Tsagkatakis, Panagiotis Tsakalides:
Deep Learning for Multilabel Land Cover Scene Categorization Using Data Augmentation. IEEE Geosci. Remote. Sens. Lett. 16(7): 1031-1035 (2019) - [j8]Grigorios Tsagkatakis, Anastasia Aidini, Konstantina Fotiadou, Michalis Giannopoulos, Anastasia Pentari, Panagiotis Tsakalides:
Survey of Deep-Learning Approaches for Remote Sensing Observation Enhancement. Sensors 19(18): 3929 (2019) - [j7]Grigorios Tsagkatakis, Maarten Bloemen, Bert Geelen, Murali Jayapala, Panagiotis Tsakalides:
Graph and Rank Regularized Matrix Recovery for Snapshot Spectral Image Demosaicing. IEEE Trans. Computational Imaging 5(2): 301-316 (2019) - [j6]Konstantina Fotiadou, Grigorios Tsagkatakis, Panagiotis Tsakalides:
Spectral Super Resolution of Hyperspectral Images via Coupled Dictionary Learning. IEEE Trans. Geosci. Remote. Sens. 57(5): 2777-2797 (2019) - [c40]Anastasia Pentari, Grigorios Tsagkatakis, Kostas Marias, Georgios C. Manikis, Nikolaos Kartalis, Nikolaos Papanikolaou, Panagiotis Tsakalides:
Sparse Representations on DW-MRI: A Study on Pancreas. BIBE 2019: 791-795 - [c39]Anastasia Aidini, Grigorios Tsagkatakis, Panagiotis Tsakalides:
Compression of High-Dimensional Multispectral Image Time Series Using Tensor Decomposition Learning. EUSIPCO 2019: 1-5 - [c38]Maria Aspri, Grigorios Tsagkatakis, Athanasia Panousopoulou, Panagiotis Tsakalides:
On Realizing Distributed Deep Neural Networks: An Astrophysics Case Study. EUSIPCO 2019: 1-5 - [c37]Konstantina Fotiadou, Grigorios Tsagkatakis, Panagiotis Tsakalides:
Alternating Direction Method of Multipliers for Semi-blind Astronomical Image Deconvolution. ICASSP 2019: 2157-2161 - [c36]George Pitsis, Grigorios Tsagkatakis, Christos Kozanitis, Ioannis Kalomoiris, Aggelos Ioannou, Apostolos Dollas, Manolis G. H. Katevenis, Panagiotis Tsakalides:
Efficient Convolutional Neural Network Weight Compression for Space Data Classification on Multi-fpga Platforms. ICASSP 2019: 3917-3921 - [i5]Eirini Troullinou, Grigorios Tsagkatakis, Ganna Palagina, Maria Papadopouli, Stelios Manolis Smirnakis, Panagiotis Tsakalides:
Adversarial dictionary learning for a robust analysis and modelling of spontaneous neuronal activity. CoRR abs/1911.01721 (2019) - [i4]Eirini Troullinou, Grigorios Tsagkatakis, Spyridon Chavlis, Gergely F. Turi, Wen-Ke Li, Attila Losonczy, Panagiotis Tsakalides, Panayiota Poirazi:
Artificial neural networks in action for an automated cell-type classification of biological neural networks. CoRR abs/1911.09977 (2019) - 2018
- [c35]Konstantina Fotiadou, Grigorios Tsagkatakis, Mahta Moghaddam, Panagiotis Tsakalides:
Recovery of Soil Moisture Active Passive (SMAP) Instrument's Active Measurements via Coupled Dictionary Learning. Computational Imaging 2018 - [c34]Muhammad Hanif, Anna Tonazzini, Pasquale Savino, Emanuele Salerno, Gregory Tsagkatakis:
Document Bleed-Through Removal Using Sparse Image Inpainting. DAS 2018: 281-286 - [c33]Michalis Giannopoulos, Grigorios Tsagkatakis, Panagiotis Tsakalides:
On the Impact of Tensor Completion in the Classification of Undersampled Hyperspectral Imagery. EUSIPCO 2018: 1975-1979 - [c32]Anastasia Aidini, Grigorios Tsagkatakis, Panagiotis Tsakalides:
1-Bit Tensor Completion. Image Processing: Algorithms and Systems 2018 - [c31]Grigorios Tsagkatakis, Mustafa I. Jaber, Panagiotis Tsakalides:
Convolutional neural networks for the analysis of broadcasted tennis games. Visual Information Processing and Communication 2018 - [i3]Athanasia Panousopoulou, Samuel Farrens, Konstantina Fotiadou, Arnaud Woiselle, Grigorios Tsagkatakis, Jean-Luc Starck, Panagiotis Tsakalides:
A Distributed Learning Architecture for Scientific Imaging Problems. CoRR abs/1809.05956 (2018) - [i2]Michalis Giannopoulos, Grigorios Tsagkatakis, Saverio G. Blasi, Farzad Toutounchi, Athanasios Mouchtaris, Panagiotis Tsakalides, Marta Mrak, Ebroul Izquierdo:
Convolutional Neural Networks for Video Quality Assessment. CoRR abs/1809.10117 (2018) - 2017
- [j5]Sofia Savvaki, Grigorios Tsagkatakis, Athanasia Panousopoulou, Panagiotis Tsakalides:
Matrix and Tensor Completion on a Human Activity Recognition Framework. IEEE J. Biomed. Health Informatics 21(6): 1554-1561 (2017) - [c30]Konstantina Fotiadou, Grigorios Tsagkatakis, Panagiotis Tsakalides:
Deep Convolutional Neural Networks for the Classification of Snapshot Mosaic Hyperspectral Imagery. Computational Imaging 2017: 185-190 - [c29]Grigorios Tsagkatakis, Mustafa I. Jaber, Panagiotis Tsakalides:
Goal!! Event detection in sports video. Computer Vision Applications in Sports 2017: 15-20 - [c28]Michalis Giannopoulos, Sofia Savvaki, Grigorios Tsagkatakis, Panagiotis Tsakalides:
Application of Tensor and Matrix Completion on Environmental Sensing Data. ESANN 2017 - [c27]Stavros Timotheatos, Grigorios Tsagkatakis, Panagiotis Tsakalides, Panos E. Trahanias:
Feature Extraction and Learning for RSSI based Indoor Device Localization. ESANN 2017 - [c26]Konstantina Fotiadou, Grigorios Tsagkatakis, Bruno Moraes, Filipe B. Abdalla, Panagiotis Tsakalides:
Denoising galaxy spectra with coupled dictionary learning. EUSIPCO 2017: 498-502 - [c25]Eirini Troullinou, Grigorios Tsagkatakis, Ganna Palagina, Maria Papadopouli, Stelios Manolis Smirnakis, Panagiotis Tsakalides:
Dictionary learning for spontaneous neural activity modeling. EUSIPCO 2017: 1579-1583 - [e1]Mustafa I. Jaber, Grigorios Tsagkatakis:
Computer Vision Applications in Sports, Burlingame, CA, USA, January 29 - February 2, 2017. Society for Imaging Science and Technology 2017 [contents] - [i1]Grigorios Tsagkatakis, Panagiotis Tsakalides:
Computational Snapshot Spectral Imaging. ERCIM News 2017(108) (2017) - 2016
- [j4]Grigorios Tsagkatakis, Baltasar Beferull-Lozano, Panagiotis Tsakalides:
Singular spectrum-based matrix completion for time series recovery and prediction. EURASIP J. Adv. Signal Process. 2016: 66 (2016) - [j3]Konstantinos Karalas, Grigorios Tsagkatakis, Michael E. Zervakis, Panagiotis Tsakalides:
Land Classification Using Remotely Sensed Data: Going Multilabel. IEEE Trans. Geosci. Remote. Sens. 54(6): 3548-3563 (2016) - [c24]Konstantina Fotiadou, Grigorios Tsagkatakis, Panagiotis Tsakalides:
Spectral Resolution Enhancement of Hyperspectral Images via Sparse Representations. Computational Imaging 2016: 1-6 - [c23]Grigorios Tsagkatakis, Murali Jayapala, Bert Geelen, Panagiotis Tsakalides:
Non-negative Matrix Completion for the Enhancement of Snapshot Mosaic Multispectral Imagery. IMSE 2016: 1-6 - [c22]Sofia Savvaki, Grigorios Tsagkatakis, Athanasia Panousopoulou, Panagiotis Tsakalides:
Effects of matrix completion on the classification of undersampled human activity data streams. EUSIPCO 2016: 2010-2014 - 2015
- [j2]Sofia Nikitaki, Grigorios Tsagkatakis, Panagiotis Tsakalides:
Efficient Multi-Channel Signal Strength Based Localization via Matrix Completion and Bayesian Sparse Learning. IEEE Trans. Mob. Comput. 14(11): 2244-2256 (2015) - [c21]Grigorios Tsagkatakis, Panagiotis Tsakalides:
Recovery of quantized compressed sensing measurements. Computational Imaging 2015: 940106 - [c20]Grigorios Tsagkatakis, Panagiotis Tsakalides:
Compressed hyperspectral sensing. IMSE 2015: 940307 - 2014
- [c19]Grigorios Tsagkatakis, Panagiotis Tsakalides, Arnaud Woiselle, Marc Bousquet, George Tzagkarakis, Jean-Luc Starck:
Compressed sensing reconstruction of convolved sparse signals. ICASSP 2014: 3340-3344 - [c18]Konstantina Fotiadou, Grigorios Tsagkatakis, Panagiotis Tsakalides:
Low Light Image Enhancement via Sparse Representations. ICIAR (1) 2014: 84-93 - 2013
- [c17]Stergios Poularakis, Grigorios Tsagkatakis, Panagiotis Tsakalides, Ioannis Katsavounidis:
Sparse representations for hand gesture recognition. ICASSP 2013: 3746-3750 - [c16]Sofia Nikitaki, Grigorios Tsagkatakis, Panagiotis Tsakalides:
Efficient recalibration via Dynamic Matrix Completion. MLSP 2013: 1-6 - 2012
- [c15]George Tzagkarakis, Grigorios Tsagkatakis, Jean-Luc Starck, Panagiotis Tsakalides:
Compressive video classification in a low-dimensional manifold with learned distance metric. EUSIPCO 2012: 155-159 - [c14]Sofia Nikitaki, Grigorios Tsagkatakis, Panagiotis Tsakalides:
Efficient training for fingerprint based positioning using matrix completion. EUSIPCO 2012: 195-199 - [c13]Grigorios Tsagkatakis, Panagiotis Tsakalides:
Dictionary based reconstruction and classification of randomly sampled sensor network data. SAM 2012: 117-120 - [c12]Grigorios Tsagkatakis, Panagiotis Tsakalides:
Efficient high dynamic range imaging via matrix completion. MLSP 2012: 1-6 - [c11]Andreas E. Savakis, Mark Stump, Grigorios Tsagkatakis, Roy Melton, Gary Behm, Gwen Sterns:
Low vision assistance using face detection and tracking on android smartphones. MWSCAS 2012: 1176-1179 - [c10]George Tzagkarakis, Pavlos Charalampidis, Grigorios Tsagkatakis, Jean-Luc Starck, Panagiotis Tsakalides:
Compressive video classification for decision systems with limited resources. PCS 2012: 353-356 - 2011
- [j1]Grigorios Tsagkatakis, Andreas E. Savakis:
Online Distance Metric Learning for Object Tracking. IEEE Trans. Circuits Syst. Video Technol. 21(12): 1810-1821 (2011) - [c9]Raymond W. Ptucha, Grigorios Tsagkatakis, Andreas E. Savakis:
Manifold based Sparse Representation for robust expression recognition without neutral subtraction. ICCV Workshops 2011: 2136-2143 - [c8]Raymond W. Ptucha, Grigorios Tsagkatakis, Andreas E. Savakis:
Manifold learning for simultaneous pose and facial expression recognition. ICIP 2011: 3021-3024 - 2010
- [c7]Grigorios Tsagkatakis, Andreas E. Savakis:
Sparse Representations and Distance Learning for Attribute Based Category Recognition. ECCV Workshops (1) 2010: 29-42 - [c6]Grigorios Tsagkatakis, Andreas E. Savakis:
Manifold Modeling with Learned Distance in Random Projection Space for Face Recognition. ICPR 2010: 653-656 - [c5]Grigorios Tsagkatakis, Andreas E. Savakis:
Face Recognition Using Sparse Representations and Manifold Learning. ISVC (1) 2010: 509-518
2000 – 2009
- 2009
- [c4]Grigorios Tsagkatakis, Andreas E. Savakis:
A random projections model for object tracking under variable pose and multi-camera views. ICDSC 2009: 1-7 - [c3]Grigorios Tsagkatakis, Andreas E. Savakis:
Random Projections for face detection under resource constraints. ICIP 2009: 1233-1236 - 2008
- [c2]Grigorios Tsagkatakis, Michalis E. Zervakis, Andreas E. Savakis:
Multiple description based image transmission with Low Density Parity Check codes. ICIP 2008: 2040-2043 - [c1]Grigorios Tsagkatakis, Andreas E. Savakis:
Face Detection in Resource Constrained Wireless Systems. WMMP 2008: 203-220
Coauthor Index
[j22] [j21] [c56] [c52] [c51] [c50] [j19] [j18] [j17] [c48] [j16] [j15] [c46] [c45] [j14] [j13] [j12] [j11] [j10] [c44] [c43] [c42] [c41] [j9] [j8] [j7] [j6] [c40] [c39] [c38] [c37] [c36] [i5] [i4] [c35] [c33] [c32] [c31] [i3] [i2] [j5] [c30] [c29] [c28] [c27] [c26] [c25] [i1] [j4] [j3] [c24] [c23] [c22] [j2] [c21] [c20] [c19] [c18] [c17] [c16] [c15] [c14] [c13] [c12] [c10]
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