Grigorios Tsagkatakis

发表

Feature learning for multi-label land cover classification

P. Tsakalides, M. Zervakis, Konstantinos Karalas, 2015 .

Title : Framework for computer vision in distributed resource constrained environments

A. Savakis, Grigorios Tsagkatakis, 2022 .

Large-Scale 3D Two-Photon Imaging of Molecularly Identified CA1 Interneuron Dynamics in Behaving Mice

A. Losonczy, P. Poirazi, P. Tsakalides, 2020, Neuron.

Quantifying the structure of strong gravitational lens potentials with uncertainty-aware deep neural networks

G. Vernardos, Yannis Pantazis, Grigorios Tsagkatakis, 2020, Monthly Notices of the Royal Astronomical Society.

Quasar microlensing light-curve analysis using deep machine learning

G. Vernardos, Grigorios Tsagkatakis, G. Tsagkatakis, 2019, Monthly Notices of the Royal Astronomical Society.

Forecasting Soil Moisture Using a Deep Learning Model Integrated with Passive Microwave Retrieval

M. Moghaddam, R. Levinson, S. Nag, 2022, IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium.

Face Detection in Resource Constrained Wireless Systems

Andreas E. Savakis, Grigorios Tsagkatakis, A. Savakis, 2008, WMMP.

Deep Learning for Multilabel Land Cover Scene Categorization Using Data Augmentation

Panagiotis Tsakalides, Grigorios Tsagkatakis, Radamanthys Stivaktakis, 2019, IEEE Geoscience and Remote Sensing Letters.

4D U-Nets for Multi-Temporal Remote Sensing Data Classification

P. Tsakalides, Grigorios Tsagkatakis, M. Giannopoulos, 2022, Remote. Sens..

4D Convolutional Neural Networks for Multi-Spectral and Multi-Temporal Remote Sensing Data Classification

P. Tsakalides, Grigorios Tsagkatakis, M. Giannopoulos, 2022, ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

A Distributed Learning Architecture for Scientific Imaging Problems pdf

Jean-Luc Starck, Panagiotis Tsakalides, Grigorios Tsagkatakis, 2018, ArXiv.

On the Impact of Tensor Completion in the Classification of Undersampled Hyperspectral Imagery

Panagiotis Tsakalides, Grigorios Tsagkatakis, Michalis Giannopoulos, 2018, 2018 26th European Signal Processing Conference (EUSIPCO).

1-Bit Tensor Completion

Panagiotis Tsakalides, Grigorios Tsagkatakis, Anastasia Aidini, 2018, Image Processing: Algorithms and Systems.

Matrix and Tensor Completion on a Human Activity Recognition Framework

Panagiotis Tsakalides, Grigorios Tsagkatakis, Athanasia Panousopoulou, 2017, IEEE Journal of Biomedical and Health Informatics.

Application of Tensor and Matrix Completion on Environmental Sensing Data

Panagiotis Tsakalides, Grigorios Tsagkatakis, Michalis Giannopoulos, 2017, ESANN.

Effects of matrix completion on the classification of undersampled human activity data streams

Panagiotis Tsakalides, Grigorios Tsagkatakis, Athanasia Panousopoulou, 2016, 2016 24th European Signal Processing Conference (EUSIPCO).

Non-negative Matrix Completion for the Enhancement of Snapshot Mosaic Multispectral Imagery

Panagiotis Tsakalides, Bert Geelen, Grigorios Tsagkatakis, 2016, IMSE.

LIGHTWEIGHT ONBOARD HYPERSPECTRAL COMPRESSION AND RECOVERY BY MATRIX COMPLETION

Panagiotis Tsakalides, Grigorios Tsagkatakis, Cristoforo Abbattista, 2016 .

Signal and Data Processing Techniques for Industrial Cyber-Physical Systems

Baltasar Beferull-Lozano, George Tzagkarakis, Panagiotis Tsakalides, 2015 .

Application of Matrix Completion on Water Treatment Data

Panagiotis Tsakalides, Grigorios Tsagkatakis, Athanasia Panousopoulou, 2015 .

Efficient high dynamic range imaging via matrix completion

Panagiotis Tsakalides, Grigorios Tsagkatakis, P. Tsakalides, 2012, 2012 IEEE International Workshop on Machine Learning for Signal Processing.

Adversarial dictionary learning for a robust analysis and modelling of spontaneous neuronal activity

S. Smirnakis, M. Papadopouli, P. Tsakalides, 2019, Neurocomputing.

Efficient Convolutional Neural Network Weight Compression for Space Data Classification on Multi-fpga Platforms

Panagiotis Tsakalides, Apostolos Dollas, Manolis Katevenis, 2019, ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Graph and Rank Regularized Matrix Recovery for Snapshot Spectral Image Demosaicing

Panagiotis Tsakalides, Bert Geelen, Grigorios Tsagkatakis, 2019, IEEE Transactions on Computational Imaging.

Compressed sensing reconstruction of convolved sparse signals

Jean-Luc Starck, George Tzagkarakis, Panagiotis Tsakalides, 2014, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Artificial Neural Networks in Action for an Automated Cell-Type Classification of Biological Neural Networks

Panagiotis Tsakalides, Attila Losonczy, Grigorios Tsagkatakis, 2019, IEEE Transactions on Emerging Topics in Computational Intelligence.

Embedded Temporal Convolutional Networks for Essential Climate Variables Forecasting

M. Moghaddam, P. Tsakalides, Grigorios Tsagkatakis, 2022, Sensors.

Semantic Predictive Coding with Arbitrated Generative Adversarial Networks

Panagiotis Tsakalides, Grigorios Tsagkatakis, Radamanthys Stivaktakis, 2020, Mach. Learn. Knowl. Extr..

Convolutional Neural Networks for Spectroscopic Redshift Estimation on Euclid Data

Jean-Luc Starck, Panagiotis Tsakalides, Grigorios Tsagkatakis, 2018, IEEE Transactions on Big Data.

Integrating Visual and Network Data with Deep Learning for Streaming Video Quality Assessment

C. Stephanidis, Grigorios Tsagkatakis, George Margetis, 2023, Sensors.

Convolutional Neural Networks with Deep Supervised Feature Learning for Remote Sensing Scene Classification

Panagiotis Tsakalides, Grigorios Tsagkatakis, P. Tsakalides, 2020 .

An Experimental Analysis of the Opportunities to Use Field Programmable Gate Array Multiprocessors for On-board Satellite Deep Learning Classification of Spectroscopic Observations from Future ESA Space Missions

Panagiotis Tsakalides, Apostolos Dollas, Grigorios Tsagkatakis, 2019 .

Deep Convolutional Neural Networks for the Classification of Snapshot Mosaic Hyperspectral Imagery

Panagiotis Tsakalides, Grigorios Tsagkatakis, Konstantina Fotiadou, 2017, Computational Imaging.

OmbriaNet—Supervised Flood Mapping via Convolutional Neural Networks Using Multitemporal Sentinel-1 and Sentinel-2 Data Fusion

P. Tsakalides, Grigorios Tsagkatakis, G. I. Drakonakis, 2022, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

Survey of Deep-Learning Approaches for Remote Sensing Observation Enhancement

Panagiotis Tsakalides, Grigorios Tsagkatakis, Michalis Giannopoulos, 2019, Sensors.

Land Classification Using Remotely Sensed Data: Going Multilabel

Panagiotis Tsakalides, Michael Zervakis, Grigorios Tsagkatakis, 2016, IEEE Transactions on Geoscience and Remote Sensing.

Distributed Training and Inference of Deep Learning Models for Multi-Modal Land Cover Classification

Panagiotis Tsakalides, Grigorios Tsagkatakis, Maria Aspri, 2020, Remote. Sens..

On Realizing Distributed Deep Neural Networks: An Astrophysics Case Study

Panagiotis Tsakalides, Grigorios Tsagkatakis, Athanasia Panousopoulou, 2019, 2019 27th European Signal Processing Conference (EUSIPCO).

Convolutional neural networks for the analysis of broadcasted tennis games

Panagiotis Tsakalides, Mustafa I. Jaber, Grigorios Tsagkatakis, 2018, Visual Information Processing and Communication.

Goal!! Event detection in sports video

Panagiotis Tsakalides, Mustafa I. Jaber, Grigorios Tsagkatakis, 2017, Computer Vision Applications in Sports.

Panagiotis Tsakalides, Grigorios Tsagkatakis, P. Tsakalides, 2016, 2016 IEEE International Conference on Imaging Systems and Techniques (IST).

Spectral Super Resolution of Hyperspectral Images via Coupled Dictionary Learning

Panagiotis Tsakalides, Grigorios Tsagkatakis, Konstantina Fotiadou, 2019, IEEE Transactions on Geoscience and Remote Sensing.

Recovery of quantized compressed sensing measurements

Panagiotis Tsakalides, Grigorios Tsagkatakis, P. Tsakalides, 2015, Electronic Imaging.

A framework for object class recognition with no visual examples

Andreas Savakis, Grigorios Tsagkatakis, A. Savakis, 2010, 2010 Western New York Image Processing Workshop.

Online Distance Metric Learning for Object Tracking

Andreas E. Savakis, Grigorios Tsagkatakis, A. Savakis, 2011, IEEE Transactions on Circuits and Systems for Video Technology.

Snapshot High Dynamic Range Imaging via Sparse Representations and Feature Learning

Panagiotis Tsakalides, Grigorios Tsagkatakis, Konstantina Fotiadou, 2020, IEEE Transactions on Multimedia.

Efficient Multi-Channel Signal Strength Based Localization via Matrix Completion and Bayesian Sparse Learning

Panagiotis Tsakalides, Grigorios Tsagkatakis, Sofia Nikitaki, 2015, IEEE Transactions on Mobile Computing.

Compressed hyperspectral sensing

Panagiotis Tsakalides, Grigorios Tsagkatakis, P. Tsakalides, 2015, Electronic Imaging.

Multireturn compressed gated range imaging

Jean-Luc Starck, George Tzagkarakis, Panagiotis Tsakalides, 2015 .

Multi-Source image enhancement via Coupled Dictionary Learning

Panagiotis Tsakalides, Grigorios Tsagkatakis, Konstantina Fotiadou, 2017 .

Spectral Super-Resolution via Coupled Sparse Dictionary Learning

P. Tsakalides, Grigorios Tsagkatakis, K. Fotiadou, 2016 .

Spectral Resolution Enhancement of Hyperspectral Images via Sparse Representations

Panagiotis Tsakalides, Grigorios Tsagkatakis, Konstantina Fotiadou, 2016, Computational Imaging.

Tensor Dictionary Learning with Representation Quantization for Remote Sensing Observation Compression

Panagiotis Tsakalides, Grigorios Tsagkatakis, Anastasia Aidini, 2020, 2020 Data Compression Conference (DCC).

Deep learning for multi-label land cover classification

Michalis Zervakis, Panagiotis Tsakalides, Grigorios Tsagkatakis, 2015, SPIE Remote Sensing.

Sparse Representations on DW-MRI: A Study on Pancreas

Kostas Marias, Panagiotis Tsakalides, Georgios C. Manikis, 2019, 2019 IEEE 19th International Conference on Bioinformatics and Bioengineering (BIBE).

Low Light Image Enhancement via Sparse Representations

Panagiotis Tsakalides, Grigorios Tsagkatakis, Konstantina Fotiadou, 2014, ICIAR.