13 citations · 43 across the 9 of their papers we have counts for
9 papers
Deep and Sparse Denoising Benchmarks for Spectral Data Cubes of High-z Galaxies: From Simulations to ALMA observations
Arnab Lahiry, Tanio Díaz-Santos, Jean-Luc Starck +4
Beyond cosmic noon, galaxies appear as faint whispers amid noise, yet this epoch is key to understanding massive galaxy assembly. ALMA's sensitivity to cold dust and [C II] emissio…
Variable-Length Stop-Feedback Coding for Minimum Age of Incorrect Information
Konstantinos Bountrogiannis, Ioannis Papoutsidakis, Anthony Ephremides +2
The Age of Incorrect Information (AoII) is studied within the context of remote monitoring a Markov source using variable-length stop-feedback (VLSF) coding. Leveraging recent resu…
Age of Incorrect Information With Hybrid ARQ Under a Resource Constraint for N-ary Symmetric Markov Sources
Konstantinos Bountrogiannis, Anthony Ephremides, Panagiotis Tsakalides +1
The Age of Incorrect Information (AoII) is a recently proposed metric for real-time remote monitoring systems. In particular, AoII measures the time the information at the monitor…
Distribution Agnostic Symbolic Representations for Time Series Dimensionality Reduction and Online Anomaly Detection
Konstantinos Bountrogiannis, George Tzagkarakis, Panagiotis Tsakalides
Due to the importance of the lower bounding distances and the attractiveness of symbolic representations, the family of symbolic aggregate approximations (SAX) has been used extens…
Adversarial dictionary learning for a robust analysis and modelling of spontaneous neuronal activity
Eirini Troullinou, Grigorios Tsagkatakis, Ganna Palagina +3
The field of neuroscience is experiencing rapid growth in the complexity and quantity of the recorded neural activity allowing us unprecedented access to its dynamics in different…
Artificial neural networks in action for an automated cell-type classification of biological neural networks
Eirini Troullinou, Grigorios Tsagkatakis, Spyridon Chavlis +5
Identification of different neuronal cell types is critical for understanding their contribution to brain functions. Yet, automated and reliable classification of neurons remains a…
A Distributed Learning Architecture for Scientific Imaging Problems
A. Panousopoulou, S. Farrens, K. Fotiadou +4
Current trends in scientific imaging are challenged by the emerging need of integrating sophisticated machine learning with Big Data analytics platforms. This work proposes an in-m…
Convolutional Neural Networks for Video Quality Assessment
Michalis Giannopoulos, Grigorios Tsagkatakis, Saverio Blasi +5
Video Quality Assessment (VQA) is a very challenging task due to its highly subjective nature. Moreover, many factors influence VQA. Compression of video content, while necessary f…
Convolutional Neural Networks for Spectroscopic Redshift Estimation on Euclid Data
Radamanthys Stivaktakis, Grigorios Tsagkatakis, Bruno Moraes +3
In this paper, we address the problem of spectroscopic redshift estimation in Astronomy. Due to the expansion of the Universe, galaxies recede from each other on average. This move…