Konstantina Fotiadou

According to our database, Konstantina Fotiadou authored at least 17 papers between 2014 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

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

Georgios I. Drakonakis, Grigorios Tsagkatakis, Konstantina Fotiadou, Panagiotis Tsakalides

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022

2021

Network Traffic Anomaly Detection via Deep Learning.

Konstantina Fotiadou, Terpsichori-Helen N. Velivasaki, Artemis C. Voulkidis, Dimitrios Skias, Sofia Tsekeridou, Theodore B. Zahariadis

Inf., 2021

Pan-European Cybersecurity Incidents Information Sharing Platform to support NIS Directive.

Dimitrios Skias, Sofia Tsekeridou, Theodore B. Zahariadis, Artemis C. Voulkidis, Terpsichori Helen Velivassaki, Konstantina Fotiadou

Proceedings of the ARES 2021: The 16th International Conference on Availability, 2021

2020

Snapshot High Dynamic Range Imaging via Sparse Representations and Feature Learning.

Konstantina Fotiadou, Grigorios Tsagkatakis, Panagiotis Tsakalides

IEEE Trans. Multim., 2020

Incidents Information Sharing Platform for Distributed Attack Detection.

Konstantina Fotiadou, Terpsichori Helen Velivassaki, Artemis C. Voulkidis, Konstantinos Railis, Panagiotis Trakadas, Theodore B. Zahariadis

IEEE Open J. Commun. Soc., 2020

Classification of Compressed Remote Sensing Multispectral Images via Convolutional Neural Networks.

Michalis Giannopoulos, Anastasia Aidini, Anastasia Pentari, Konstantina Fotiadou, Panagiotis Tsakalides

J. Imaging, 2020

2019

Sparse representations and coupled dictionary learning for the enhancement of computational imaging systems

Konstantina Fotiadou

PhD thesis, 2019

Spectral Super Resolution of Hyperspectral Images via Coupled Dictionary Learning.

Konstantina Fotiadou, Grigorios Tsagkatakis, Panagiotis Tsakalides

IEEE Trans. Geosci. Remote. Sens., 2019

Survey of Deep-Learning Approaches for Remote Sensing Observation Enhancement.

Grigorios Tsagkatakis, Anastasia Aidini, Konstantina Fotiadou, Michalis Giannopoulos, Anastasia Pentari, Panagiotis Tsakalides

Sensors, 2019

Alternating Direction Method of Multipliers for Semi-blind Astronomical Image Deconvolution.

Konstantina Fotiadou, Grigorios Tsagkatakis, Panagiotis Tsakalides

Proceedings of the IEEE International Conference on Acoustics, 2019

Hyperspectral Image Compression and Super-Resolution Using Tensor Decomposition Learning.

Anastasia Aidini, Michalis Giannopoulos, Anastasia Pentari, Konstantina Fotiadou, Panagiotis Tsakalides

Proceedings of the 53rd Asilomar Conference on Signals, Systems, and Computers, 2019

2018

A Distributed Learning Architecture for Scientific Imaging Problems.

Athanasia Panousopoulou, Samuel Farrens, Konstantina Fotiadou, Arnaud Woiselle, Grigorios Tsagkatakis, Jean-Luc Starck, Panagiotis Tsakalides

CoRR, 2018

Recovery of Soil Moisture Active Passive (SMAP) Instrument's Active Measurements via Coupled Dictionary Learning.

Konstantina Fotiadou, Grigorios Tsagkatakis, Mahta Moghaddam, Panagiotis Tsakalides

Proceedings of the Computational Imaging XVI, Burlingame, 2018

2017

Denoising galaxy spectra with coupled dictionary learning.

Konstantina Fotiadou, Grigorios Tsagkatakis, Bruno Moraes, Filipe B. Abdalla, Panagiotis Tsakalides

Proceedings of the 25th European Signal Processing Conference, 2017

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

Konstantina Fotiadou, Grigorios Tsagkatakis, Panagiotis Tsakalides

Proceedings of the Computational Imaging XV, Burlingame, 2017

2016

Spectral Resolution Enhancement of Hyperspectral Images via Sparse Representations.

Konstantina Fotiadou, Grigorios Tsagkatakis, Panagiotis Tsakalides

Proceedings of the Computational Imaging XIV, San Francisco, 2016

2014

Low Light Image Enhancement via Sparse Representations.

Konstantina Fotiadou, Grigorios Tsagkatakis, Panagiotis Tsakalides

Proceedings of the Image Analysis and Recognition - 11th International Conference, 2014