Grigorios Tsagkatakis
Orcid: 0000-0001-6498-9450Affiliations:
- Computer Science Department, University of Crete, Greece
- Foundation for Research and Technology - Hellas, Heraklion, Greece
According to our database1,
Grigorios Tsagkatakis
authored at least 75 papers
between 2008 and 2024.
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Bibliography
2024
A Generative Neighborhood-Based Deep Autoencoder for Robust Imbalanced Classification.
IEEE Trans. Artif. Intell., January, 2024
2023
Integrating Visual and Network Data with Deep Learning for Streaming Video Quality Assessment.
Sensors, 2023
A New Approach for Downscaling Soil Moisture by Merging Conditional Adversarial Networks and Physics-Based Passive Microwave Retrieval.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023
A Generative Neighborhood-Based Deep Autoencoder with an Extended Loss Function for Robust Imbalanced Classification.
Proceedings of the 57th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2023, Pacific Grove, CA, USA, October 29, 2023
Proceedings of the 57th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2023, Pacific Grove, CA, USA, October 29, 2023
2022
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., 2022
Embedded Temporal Convolutional Networks for Essential Climate Variables Forecasting.
Sensors, 2022
Forecasting Soil Moisture Using a Deep Learning Model Integrated with Passive Microwave Retrieval.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022
4D Convolutional Neural Networks for Multi-Spectral and Multi-Temporal Remote Sensing Data Classification.
Proceedings of the IEEE International Conference on Acoustics, 2022
2021
Artificial Neural Networks in Action for an Automated Cell-Type Classification of Biological Neural Networks.
IEEE Trans. Emerg. Top. Comput. Intell., 2021
IEEE J. Sel. Top. Signal Process., 2021
Deep multi-modal satellite and in-situ observation fusion for Soil Moisture retrieval.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021
Proceedings of the Food and Agricultural Imaging Systems 2021, online, January 11-28, 2021, 2021
2020
IEEE Trans. Multim., 2020
IEEE Trans. Big Data, 2020
Distributed Training and Inference of Deep Learning Models for Multi-Modal Land Cover Classification.
Remote. Sens., 2020
Mach. Learn. Knowl. Extr., 2020
Adversarial dictionary learning for a robust analysis and modelling of spontaneous neuronal activity.
Neurocomputing, 2020
Multi-Temporal Convolutional Neural Networks for Satellite-Derived Soil Moisture Observation Enhancement.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020
Fish Freshness Estimation though analysis of Multispectral Images with Convolutional Neural Networks.
Proceedings of the Food and Agricultural Imaging Systems 2020, 2020
Tensor Dictionary Learning with Representation Quantization for Remote Sensing Observation Compression.
Proceedings of the Data Compression Conference, 2020
2019
IEEE Trans. Geosci. Remote. Sens., 2019
IEEE Trans. Computational Imaging, 2019
Sensors, 2019
Deep Learning for Multilabel Land Cover Scene Categorization Using Data Augmentation.
IEEE Geosci. Remote. Sens. Lett., 2019
Efficient Convolutional Neural Network Weight Compression for Space Data Classification on Multi-fpga Platforms.
Proceedings of the IEEE International Conference on Acoustics, 2019
Alternating Direction Method of Multipliers for Semi-blind Astronomical Image Deconvolution.
Proceedings of the IEEE International Conference on Acoustics, 2019
Proceedings of the 27th European Signal Processing Conference, 2019
Compression of High-Dimensional Multispectral Image Time Series Using Tensor Decomposition Learning.
Proceedings of the 27th European Signal Processing Conference, 2019
Proceedings of the 19th IEEE International Conference on Bioinformatics and Bioengineering, 2019
2018
Proceedings of the Visual Information Processing and Communication IX, Burlingame, CA, USA, 28 January 2018, 2018
Proceedings of the Image Processing: Algorithms and Systems XVI, Burlingame, CA, USA, 28 January 2018, 2018
On the Impact of Tensor Completion in the Classification of Undersampled Hyperspectral Imagery.
Proceedings of the 26th European Signal Processing Conference, 2018
Proceedings of the 13th IAPR International Workshop on Document Analysis Systems, 2018
Recovery of Soil Moisture Active Passive (SMAP) Instrument's Active Measurements via Coupled Dictionary Learning.
Proceedings of the Computational Imaging XVI, Burlingame, 2018
2017
IEEE J. Biomed. Health Informatics, 2017
Proceedings of the 25th European Signal Processing Conference, 2017
Proceedings of the 25th European Signal Processing Conference, 2017
Proceedings of the 25th European Symposium on Artificial Neural Networks, 2017
Proceedings of the 25th European Symposium on Artificial Neural Networks, 2017
Proceedings of the Computer Vision Applications in Sports, Burlingame, 2017
Deep Convolutional Neural Networks for the Classification of Snapshot Mosaic Hyperspectral Imagery.
Proceedings of the Computational Imaging XV, Burlingame, 2017
2016
IEEE Trans. Geosci. Remote. Sens., 2016
EURASIP J. Adv. Signal Process., 2016
Effects of matrix completion on the classification of undersampled human activity data streams.
Proceedings of the 24th European Signal Processing Conference, 2016
Non-negative Matrix Completion for the Enhancement of Snapshot Mosaic Multispectral Imagery.
Proceedings of the Image Sensors and Imaging Systems 2016, 2016
Proceedings of the Computational Imaging XIV, San Francisco, 2016
2015
Efficient Multi-Channel Signal Strength Based Localization via Matrix Completion and Bayesian Sparse Learning.
IEEE Trans. Mob. Comput., 2015
Proceedings of the Image Sensors and Imaging Systems 2015, 2015
Proceedings of the Computational Imaging XIII, 2015
2014
Proceedings of the Image Analysis and Recognition - 11th International Conference, 2014
Proceedings of the IEEE International Conference on Acoustics, 2014
2013
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2013
Proceedings of the IEEE International Conference on Acoustics, 2013
2012
Proceedings of the 2012 Picture Coding Symposium, 2012
Proceedings of the 55th IEEE International Midwest Symposium on Circuits and Systems, 2012
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2012
Dictionary based reconstruction and classification of randomly sampled sensor network data.
Proceedings of the IEEE 7th Sensor Array and Multichannel Signal Processing Workshop, 2012
Compressive video classification in a low-dimensional manifold with learned distance metric.
Proceedings of the 20th European Signal Processing Conference, 2012
Proceedings of the 20th European Signal Processing Conference, 2012
2011
IEEE Trans. Circuits Syst. Video Technol., 2011
Proceedings of the 18th IEEE International Conference on Image Processing, 2011
Manifold based Sparse Representation for robust expression recognition without neutral subtraction.
Proceedings of the IEEE International Conference on Computer Vision Workshops, 2011
2010
Proceedings of the Advances in Visual Computing - 6th International Symposium, 2010
Manifold Modeling with Learned Distance in Random Projection Space for Face Recognition.
Proceedings of the 20th International Conference on Pattern Recognition, 2010
Sparse Representations and Distance Learning for Attribute Based Category Recognition.
Proceedings of the Trends and Topics in Computer Vision, 2010
2009
Proceedings of the International Conference on Image Processing, 2009
A random projections model for object tracking under variable pose and multi-camera views.
Proceedings of the Third ACM/IEEE International Conference on Distributed Smart Cameras, 2009
2008
Proceedings of the Mobile Multimedia Processing: Fundamentals, 2008
Proceedings of the International Conference on Image Processing, 2008