Edited volumes
Smart Water Grids: A Cyber-Physical Approach, P. Tsakalides, A. Panousopoulou, G. Tsagkatakis, L. Montestruque Eds., CRC Press, 2017. [link]
Journals & chapters
E. Troullinou, G. Tsagkatakis, A. Losonczy, P. Poirazi, and P. Tsakalides, "A Generative Neighborhood-based Deep Autoencoder for Robust Imbalanced Classification," IEEE Transactions on Artificial Intelligence, vol. April 2023. DOI [pdf]
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", EEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 15 March 2022. DOI [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, vol. 22(5) February 2022. DOI [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, vol. 14(3) January 2022. DOI [pdf]
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. DOI [pdf]
T. Geiller, B. Vancura, S. Terada, E. Troullinou, S. Chavlis, G. Tsagkatakis, P. Tsakalides, K. Ócsai, P. Poirazi, B. J. Rózsa, A Losonczy, "Large-Scale 3D Two-Photon Imaging of Molecularly Identified CA1 Interneuron Dynamics in Behaving Mice", Neuron, October 2020, DOI. [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, DOI. [pdf]
G. Tsagkatakis, and P. Tsakalides, "Convolutional Neural Networks with Deep Supervised Feature Learning for Remote Sensing Scene Classification," submitted to Remote Sensing, 2020. Preprint DOI [pdf]
E. Troullinou, G. Tsagkatakis, S. Chavlis, G. Turi, W.-K. Li, A. Losonczy, P. Tsakalides, and P. Poirazi, "Artificial neural networks in action for an automated cell-type classification of biological neural networks," in IEEE Transactions on Emerging Topics in Computational Intelligence, October 2020, DOI [pdf]
R. Stivaktakis, G. Tsagkatakis, and P. Tsakalides, "Semantic Predictive Coding with Arbitrated Generative Adversarial Networks," in Machine Learning and Knowledge Extraction, August 2020, DOI [pdf]
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. DOI [pdf]
E. Troullinou, G. Tsagkatakis, G. Palagina, M. Papadopouli, S. M. Smirnakis, and P. Tsakalidess, "Adversarial Dictionary Learning for a Robust Analysis and Modelling of Spontaneous Neuronal Activity," in Neurocomputing, Vol. 388, Pages 188-201, May 2020. DOI [pdf]
G. Tsagkatakis, A. Aidini, K. Fotiadou, M. Giannopoulos, A. Pentari, P. Tsakalides, "Survey of deep learning approaches for remote sensing observation enhancement", in Sensors - Special Issue on Deep Learning Remote Sensing Data, Vol. 19(18), September 2019. DOI [pdf]
G. Vernardos and G. Tsagkatakis "Quasar microlensing light curve analysis using deep machine learning", Monthly Notices of the Royal Astronomical Society, Vol. 486 (2), pp. 1944–1952, June 2019, DOI [arxiv]
R. Stoivaktakis, G. Tsagkatakis, and P. Tsakalides, "Deep Learning for Multilabel Land Cover Scene Categorization Using Data Augmentation", IEEE Geoscience and Remote Sensing Letters, vol. 16(7), July 2019. DOI [pdf][github]
G. Tsagkatakis, M. Bloemen, B. Geelen, M. Jayapala, and P. Tsakalides, "Graph and Rank Regularized Matrix Recovery for Snapshot Spectral Image Demosaicing", IEEE Transactions on Computational Imaging, Vol. 5(2), June 2019. DOI [IEEE digital library][pdf]
K. Fotiadou, G. Tsagkatakis, and P. Tsakalides, "Snapshot High Dynamic Range Imaging via Sparse Representations and Feature Learning", IEEE Transactions on Multimedia, Vol. 22(3), March 2020. DOI [pdf]
R. Stoivaktakis, G. Tsagkatakis, B. Moralles, F. Abdalla, J.-L. Starck, P. Tsakalides, "Convolutional Neural Networks for Spectroscopic Redshift Estimation on Euclid Data", IEEE Transactions on Big Data, August 2019. DOI [IEEE digital library] [arxiv]
M. Giannopoulos, G. Tsagkatakis, S. Blasi, F. Toutounchi, A. Mouchtaris, P. Tsakalides, M. Mrak, and E. Izquierdo "Convolutional Neural Networks for Video Quality Assessment", submitted to Elsevier Signal Processing: Image Communication, special issue "Advances in statistical methods-based visual quality assessment", 2018. [arxiv]
A. Panousopoulou, S. Farrens, K. Fotiadou, A. Woiselle, G. Tsagkatakis, J.-L. Starck, and P. Tsakalides "A Distributed Learning Architecture for Scientific Imaging Problems", submitted to Elsevier Knowledge-Based Systems, 2018. [arxiv]
K. Fotiadou, G. Tsagkatakis, and P. Tsakalides, "Spectral Super-Resolution of Hyperspectral Images via Coupled Dictionary Learning," in IEEE Transactions on Geoscience and Remote Sensing, Vol. 57(5), May 2019. DOI [pdf] [github]
G. Tsagkatakis, K. Fotiadou, M. Giannopoulos, A. Aidini, A. Panousopoulou, and P. Tsakalides, "Matrix and Tensor Signal Modeling in Cyber-Physical Systems," in Smart Water Grids: A Cyber-Physical Approach, P. Tsakalides, A. Panousopoulou, G. Tsagkatakis, L. Montestruque Eds., CRC Press, 2017. [link]
S. Savvaki, G. Tsagkatakis, A. Panousopoulou, and P. Tsakalides, "Matrix and Tensor Completion on a Human Activity Recognition Framework," IEEE Journal of Biomedical and Health Informatics, Vol. 21(6), 2017. DOI [pdf]
G. Tsagkatakis, B. Beferull-Lozano, and P. Tsakalides, "Singular Spectrum based Matrix Completion for Time-series Recovery and Prediction," EURASIP Journal on Advances in Signal Processing, special issue on "Signal Processing for Big Data", 2016, DOI [pdf]
K. Karalas, G. Tsagkatakis, M. Zervakis, and P. Tsakalides, "Land Classification Using Remotely Sensed Data: Going Multi-Label," IEEE Transactions on Geoscience and Remote Sensing, 2016. DOI [pdf]
S. Nikitaki, G. Tsagkatakis, and P. Tsakalides, "Efficient Multi-Channel Signal Strength based Localization via Matrix Completion and Bayesian Sparse Learning," IEEE Transactions on Mobile Computing, no. 14(11), pp. 2244-2256, 2015. DOI [pdf]
G. Tsagkatakis, A. Woiselle, G. Tzagkarakis, M. Bousquet, J. L. Starck, and P. Tsakalides, "Multireturn Compressed Gated Range Imaging," Optical Engineering, special issue on Computational Approaches to Imaging LADAR, 2015. DOI [pdf]
G. Tzagkarakis, G. Tsagkatakis, D. Alonso, C. Asensio, E. Celada, A. Panousopoulou, P. Tsakalides, and B. Beferull-Lozano. "Signal and Data Processing Techniques for Industrial Cyber-Physical Systems", in Cyber Physical Systems: From Theory to Practice, ed. Danda B. Rawat, Joel J.P.C. Rodrigues, Ivan Stojmenovic, CRC Press, 2015 [link]
G. Tsagaktakis and A. Savakis, "Online Distance Metric Learning for Object Tracking," IEEE Transactions on Circuits and Systems for Video Technology, vol. 21(12), pp. 1810-1821, 2011. DOI [pdf]
G. Tsagkatakis and A. Savakis, "Face Detection in Resource Constrained Wireless Systems," Lecture Notes in Computer Science, Mobile Multimedia Processing, Editors: J. Xiaoyi, M. Matthew and C. Chang, pp. 203-220, Springer Berlin, 2010. [link]
Conferences
G. Tsagkatakis, M. Moghaddam, and P. Tsakalides, "Deep multi-modal satellite and in-situ observation fusion for Soil Moisture retrieval," in Proc.2021 IEEE International Geoscience and Remote Sensing Symposium (IGARSS '21), Brussels, Beglium, July 12-26, 2021. [pdf]
G. Tsagkatakis, M. Moghaddam, and P. Tsakalides, "Multi-Temporal Convolutional Neural Networks For Satellite-Derived Soil Moisture Observation Enhancement," in Proc.2020 IEEE International Geoscience and Remote Sensing Symposium (IGARSS '20), Waikoloa, Hawaii, July 19-24, 2020. [pdf]
A. Aidini, G. Tsagkatakis, and P. Tsakalides, "Quantized Tensor Robust Principal Compoment Analysis," in Proc. 45th International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2020), Barcelona, Spain, 4-8 May 2020. [pdf]
A. Aidini, G. Tsagkatakis, and P. Tsakalides, "Tensor Dictionary Learning with Representation Quantization for Remote Sensing Observation Compression," in Proc. Data Compression Conference (DCC '20), Cliff Lodge, Snowbird, UT, March 24-27, 2020. [pdf]
G. Tsagkatakis, S. Nikolidakis, E. Petra, A. Kapantagakis, K. Grigorakis, G. Katselis, N. Vlahos, P. Tsakalides, "Fish Freshness Estimation though analysis of Multispectral Images with Convolutional Neural Networks," in Proc. Food and Agricultural Imaging Systems 2020, Electronic Imaging Symposium 2020, Burlingame, CA, USA, 26-30 January 2020. [pdf]
A. Aidini, G. Tsagkatakis, and P. Tsakalides, "Compression of High-Dimensional Multispectral Image Time Series Using Tensor Decomposition Learning," in Proc. 27th European Signal Processing Conference (EUSIPCO '19) A Coruña, Spain, 2-6 September 2019. [pdf]
M. Aspri, G. Tsagkatakis, and P. Tsakalides, "On Realizing Distributed Deep Neural Networks: An Astrophysics Case Study," in Proc. 27th European Signal Processing Conference (EUSIPCO '19) A Coruña, Spain, 2-6 September 2019. [pdf]
A. Pentari, G. Tsagkatakis, K. Marias, G.C. Manikis, N. Kartalis, N. Papanikolaou and P. Tsakalides , "Sparse Representations on DW-MRI: A study on pancreas," in Proc. 19th IEEE International Conference on BioInformatics and BioEngineering (BIBE19) Athens, Greece, October 28-30, 2019. [pdf]
K. Fotiadou, G. Tsagkatakis, and P. Tsakalides, "Alternating Direction Method Of Multipliers for Semi-Blind Astronomical Image Deconvolution," in Proc. 44th International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2019), Brighton, UK, May 12-17, 2019. [pdf]
G. Pitsis, G. Tsagkatakis, C. Kozanitis, I. Kalomoiris, A. Ioannou, A. Dollas, M. Katevenis, and P. Tsakalides, "Efficient Convolutional Neural Network Weight Compression for Space Data Classification on Multi-FPGA Platforms," in Proc. 44th International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2019), Brighton, UK, May 12-17, 2019. [pdf]
M. Giannopoulos, G. Tsagkatakis, and P. Tsakalides, "On the impact of Tensor Completion in the Classification of Undersampled Hyperspectral Imagery," in Proc. 26th European Signal Processing Conference (EUSIPCO '18) Rome, Italy, September 3-7, 2018. [pdf]
G. Tsagkatakis, M. Jaber, and P. Tsakalides, "Convolutional neural networks for the analysis of broadcasted tennis games," in Proc. Visual Information Processing and Communication Conference, International Symposium on Electronic Imaging Burlingame, CA, USA, January 28-February 1, 2018. [pdf] [code]
K. Fotiadou, G. Tsagkatakis, M. Moghaddam and P. Tsakalides, "Recovery of Soil Moisture Active Passive (SMAP) Instrument’s Active Measurements via Coupled Dictionary Learning," in Proc. Computational Imaging, International Symposium on Electronic Imaging Burlingame, CA, USA, January 28-February 1, 2018. [pdf]
A. Aidini, G. Tsagkatakis, and P. Tsakalides, "1-Bit Tensor Completion," in Proc. Image Processing: Algorithms and Systems Conference, International Symposium on Electronic Imaging Burlingame, CA, USA, January 28-February 1, 2018. Best Paper Award [pdf] [code]
E. Troullinou, G. Tsagkatakis, G. Palagina, M. Papadopouli, S. M. Smirnakis, and P. Tsakalides, "Dictionary Learning for Spontaneous Neural Activity Modeling," in Proc. 25th European Signal Processing Conference (EUSIPCO '17), Kos, Greece, August 28 - September 2, 2017. [pdf]
K. Fotiadou, G. Tsagkatakis, B. Morales, F. B. Abdallaz and P. Tsakalides, "Denoising Galaxy Spectra with Coupled Dictionary Learning," in Proc. 25th European Signal Processing Conference (EUSIPCO '17), Kos, Greece, August 28 - September 2, 2017. [pdf]
K. Fotiadou, G. Tsagkatakis, and P. Tsakalides, "Multi-source Image Enhancement via Coupled Dictionary Learning," in Proc. Signal Processing with Adaptive Sparse Structured Representations Workshop (SPARS '17), Lisbon, Portugal, June 5-8, 2017. [pdf]
M. Giannopoulos, S. Savvaki, G. Tsagkatakis, and P. Tsakalides, "Application of Tensor and Matrix Completion on Environmental Sensing Data," in Proc. 25th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN2017), Bruges, Belgium, 26 - 28 April 2017. [pdf]
S. Timotheatos, G. Tsagkatakis, P. Tsakalides and P. Trahanias, "Feature Extraction and Learning for RSSI based Indoor Device Localization," in Proc. 25th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN2017), Bruges, Belgium, 26 - 28 April 2017. [pdf]
G. Tsagkatakis, M. Jaber, and P. Tsakalides, "Goal! Event Detection in Sports Video," in Proc. 2017 IS&T International Symposium on Electronic Imaging, Computer Vision Applications in Sports, San Francisco, CA, January 29-February 2, 2017. [pdf]
K. Fotiadou, G. Tsagkatakis and P. Tsakalides, "Deep convolutional neural networks for the classification of snapshot mosaic hyperspectral imagery," in Proc. 2017 IS&T International Symposium on Electronic Imaging, Computational Imaging XV, San Francisco, CA, January 29-February 2, 2017. [pdf]
G. Tsagkatakis and P. Tsakalides, "A Self-Similar and Sparse Approach for Spectral Mosaic Snapshot Recovery," in Proc. 2016 IEEE International Conference on Imaging Systems and Techniques (IST 2016), Chania, Greece, October 4-6, 2016. [pdf]
G. Tsagkatakis, L. Amoruso, D. Sykas, C. Abbattista, and P. Tsakalides, "Lightweight Onboard Hyperspectral Compression and Recovery by Matrix Completion," in Proc. 5th International Workshop on On-Board Payload Data Compression (OBPDC 2016), ESRIN, Frascati, Rome, Italy, September 28-29, 2016. [pdf]
S. Savvaki, G. Tsagkatakis, A. Panousopoulou, and P. Tsakalides, "Effects of Matrix Completion on the Classification of Undersampled Human Activity Data Streams," in Proc. 24th European Signal Processing Conference (EUSIPCO '16), Budapest, Hungary, August 29 - September 2, 2016. [pdf]
G. Tsagkatakis and P. Tsakalides, "Deep Feature Learning for Hyperspectral Image Classification and Land Cover Estimation", in Proc. European Space Agency Living Planet Symposium, Prague, Czech Republic, May 9-13, 2016. [pdf]
K. Fotiadou, G. Tsagkatakis, and P. Tsakalides, "Spectral Super-Resolution for Hyperspectral Images via Sparse Representations", in Proc. European Space Agency Living Planet Symposium, Prague, Czech Republic, May 9-13, 2016. [pdf]
G. Tsagkatakis, M. Jayapala, B. Geelen, and P. Tsakalides, "Non-negative Matrix Completion for the Enhancement of Snapshot Mosaic Multispectral Imagery", in Proc. IS&T International Symposium on Electronic Imaging 2016, Image Sensors and Imaging Systems Conference, San Francisco, February 2016 Best Paper Award [pdf]
K. Fotiadou, G. Tsagkatakis, and P. Tsakalides. "Spectral resolution enhancement of hyperspectral images via sparse representations", IS&T International Symposium on Electronic Imaging 2016, Computational Imaging Conference, San Francisco, February 2016 [pdf]
K. Karalas, G. Tsagkatakis, M. Zervakis, and P. Tsakalides. "Deep learning for multi-label land cover classification", in SPIE Remote Sensing, Toulouse, October 2015 [pdf]
S. Savvaki, G. Tsagkatakis, A. Panousopoulou, and P. Tsakalides, "Application of Matrix Completion on Water Treatment Data," in Proc. 1st International Workshop on Cyber-Physical Systems for Smart Water Networks (CySWater 2015), CPS Week 2015, Seattle, WA, USA, April 13-16, 2015. [pdf]
G. Tsagkatakis, and P. Tsakalides, "Compressed Hyperspectral Sensing," in Proc. 2015 IS&T/SPIE Electronic Imaging Conference, Image Sensors and Imaging Systems, San Francisco, CA, February 8-12, 2015. [pdf]
G. Tsagkatakis, and P. Tsakalides, "Recovery of Quantized Compressed Sensing Measurements," in Proc. 2015 IS&T/SPIE Electronic Imaging Conference, Computational Imaging XIII, San Francisco, CA, February 8-12, 2015. [pdf]
K. Fotiadou, G. Tsagkatakis, and P. Tsakalides, "Low Light Image Enhancement via Sparse Representations," in Proc. International Conference on Image Analysis and Recognition (ICIAR ‘14), Vilamoura, Algarve, Portugal, October 22-24, 2014. [pdf]
G. Tsagkatakis, G. Tzagkarakis, A. Woiselle, M. Bousquet, J.-L. Starck and P. Tsakalides, "Compressed Sensing Reconstruction of Convolved Sparse Signals," in Proc. 39th International Conference on Acoustics, Speech, and Signal Processing (ICASSP '14), Florence, Italy, May 4-9, 2014. [pdf]
S. Nikitaki, G. Tsagkatakis, and P. Tsakalides, "Efficient recalibration via Dynamic Matrix Completion," in Proc. 23th IEEE Machine Learning for Signal Processing Workshop (MLSP '13), Southampton, UK, September 22-25, 2013. [pdf]
S. Poularakis, G. Tsagkatakis, P. Tsakalides and I. Katsavounidis "Sparse Representation for Hand Gesture Recognition," in Proc. 2013 International Conference on Acoustics, Speech, and Signal Processing (ICASSP '13), Vancouver, CA, May 26-31, 2013. [pdf]
G. Tsagkatakis, A. Woiselle, G. Tzagkarakis, M. Bousquet, J.-L. Starck and P. Tsakalides, "Active Range Imaging via Random Gating," in Proc. SPIE Security+Defence, Edinburgh, UK, Sep. 24-27, 2012. [pdf]
G. Tsagkatakis and P. Tsakalides, "Efficient High Dynamic Range Imaging Via Matrix Completion," in Proc. 22nd IEEE Machine Learning for Signal Processing Workshop (MLSP 2012), Santander, Spain, September 23-26, 2012. [pdf]
G. Tzagkarakis,G. Tsagkatakis, J. L. Starck, and P. Tsakalides, "Compressive Video Classification in a Low-Dimensional Manifold of Random Measurements with Learned Distance Metric," in Proc. 20th European Signal Processing Conference (EUSIPCO 2012), Boucharest, Romania, August 27-31, 2012. [pdf]
S. Nikitaki, G. Tsagkatakis, and P. Tsakalides, "Efficient Training for Fingerprint Based Positioning Using Matrix Completion," in Proc. 20th European Signal Processing Conference (EUSIPCO 2012), Boucharest, Romania, August 27-31, 2012. [pdf]
G. Tsagkatakis and P. Tsakalides, "Dictionary Based Reconstruction and Classification of Randomly Sampled Sensor Network Data," in IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM 2012), Hoboken, NJ, 2012. [pdf]
G. Tzagkarakis, P. Charalampidis, G. Tsagkatakis, J. L. Starck, and P. Tsakalides, "Compressive Video Classification for Decision Systems with Limited Resources," in Picture Coding Symposium (PCS 2012), Krakow Poland, 2012. [pdf]
A. Savakis, M. Stump, G. Tsagkatakis, R. Melton, G. Behm, and G. Sterns, "Low vision assistance using face detection and tracking on android smartphones ," in IEEE 55th International Midwest Symposium on Circuits and Systems (MWSCAS 2012), Boise, ID, 2012.
K. Moirogiorgou, G. Tsagkatakis, M. Zervakis and E. Petrakis, "A Real-Time System for HDTV Video Transmission over IP Networks," in Signal and Image Processing and Applications (SIPA' 2011), June 22-24, 2011, Heraklion, Crete, Greece.
G. Tsagkatakis and A. Savakis, "A Framework for Object Class Recognition with No Visual Examples," in Western NY Image Processing Workshop (WNYIP 2010), Rochester NY, 2010. Best Paper Award
G. Tsagkatakis and A. Savakis, "Face Recognition using Sparse Representations and Manifold Learning," in International Symposium on Visual Computing (ISVC 2010), Las Vegas NV, 2010.
G. Tsagkatakis and A. Savakis, "Sparse Representations and Distance Learning for Attribute based Category Recognition," in European Conference on Computer Vision ECCV 2010: International Workshop on Parts and Attributes, Heraklion Greece 2010.
G. Tsagkatakis and A. Savakis, "Manifold Modeling with Learned Distance for Face Recognition," International Conference on Pattern Recognition (ICPR), Istanbul Turkey, 2010.
G. Tsagkatakis and A. Savakis, "A Random Projections Model for Object Tracking under Variable Pose and Multi-Camera Views," in IEEE/ACM International Conference on Distributed Smart Cameras (ICDSC 2009), Como Italy, 2009.
G. Tsagkatakis and A. Savakis, "Random Projections for Face Detection under Resource Constraints," in IEEE International Conference on Image processing (ICIP 2009), Cairo Egypt, 2009.
G. Tsagkatakis and A. Savakis, "Face Detection in Power Constrained Distributed Environments," in International Conference on Pattern Recognition (ICPR 2008): Workshop on Mobile Multimedia Processing (WMMP), Tampa FL, 2008.
G. Tsagkatakis and A. Savakis, "The Effects of Image Compression on Classification Using SVM," IEEE Western NY Image Processing Workshop (WNYIP 2008), Rochester NY, 2008.
G. Tsagkatakis, M. Zervakis, A. Savakis, "Multiple Description Wireless Image Transmission with Low Density Parity Check Codes," in IEEE International Conference on Image processing (ICIP 2008), San Diego CA, 2008.