Zobrazeno 1 - 10
of 108
pro vyhledávání: '"Tsagkatakis, Grigorios"'
Autor:
Fagin, Joshua, Vernardos, Georgios, Tsagkatakis, Grigorios, Pantazis, Yannis, Shajib, Anowar J., O'Dowd, Matthew
Publikováno v:
Monthly Notices of the Royal Astronomical Society, Volume 532, Issue 2, August 2024
Strong gravitational lensing can be used as a tool for constraining the substructure in the mass distribution of galaxies. In this study we investigate the power spectrum of dark matter perturbations in a population of 23 Hubble Space Telescope image
Externí odkaz:
http://arxiv.org/abs/2403.13881
Autor:
Giannopoulos, Michalis1,2 (AUTHOR) mgiannop@ics.forth.gr, Tsagkatakis, Grigorios1,2 (AUTHOR) greg@ics.forth.gr, Tsakalides, Panagiotis1,2 (AUTHOR)
Publikováno v:
Remote Sensing. Jun2024, Vol. 16 Issue 11, p2020. 42p.
Gravitational lensing is a powerful tool for constraining substructure in the mass distribution of galaxies, be it from the presence of dark matter sub-halos or due to physical mechanisms affecting the baryons throughout galaxy evolution. Such substr
Externí odkaz:
http://arxiv.org/abs/2010.07314
Autor:
Troullinou, Eirini, Tsagkatakis, Grigorios, Chavlis, Spyridon, Turi, Gergely, Li, Wen-Ke, Losonczy, Attila, Tsakalides, Panagiotis, Poirazi, Panayiota
Identification of different neuronal cell types is critical for understanding their contribution to brain functions. Yet, automated and reliable classification of neurons remains a challenge, primarily because of their biological complexity. Typical
Externí odkaz:
http://arxiv.org/abs/1911.09977
Adversarial dictionary learning for a robust analysis and modelling of spontaneous neuronal activity
Autor:
Troullinou, Eirini, Tsagkatakis, Grigorios, Palagina, Ganna, Papadopouli, Maria, Smirnakis, Stelios Manolis, Tsakalides, Panagiotis
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 brain areas. The objective of this work is to discover directly from t
Externí odkaz:
http://arxiv.org/abs/1911.01721
We introduce a deep machine learning approach to studying quasar microlensing light curves for the first time by analyzing hundreds of thousands of simulated light curves with respect to the accretion disc size and temperature profile. Our results in
Externí odkaz:
http://arxiv.org/abs/1903.09170
Autor:
Giannopoulos, Michalis, Tsagkatakis, Grigorios, Blasi, Saverio, Toutounchi, Farzad, Mouchtaris, Athanasios, Tsakalides, Panagiotis, Mrak, Marta, Izquierdo, Ebroul
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 for minimising transmission and storage requirements, introduces distor
Externí odkaz:
http://arxiv.org/abs/1809.10117
Autor:
Stivaktakis, Radamanthys, Tsagkatakis, Grigorios, Moraes, Bruno, Abdalla, Filipe, Starck, Jean-Luc, Tsakalides, Panagiotis
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 movement causes the emitted electromagnetic waves to shift from the blue p
Externí odkaz:
http://arxiv.org/abs/1809.09622
Autor:
Margetis, George1 (AUTHOR) gmarget@ics.forth.gr, Tsagkatakis, Grigorios1,2 (AUTHOR) gmarget@ics.forth.gr, Stamou, Stefania1 (AUTHOR), Stephanidis, Constantine1,2 (AUTHOR)
Publikováno v:
Sensors (14248220). Apr2023, Vol. 23 Issue 8, p3998. 19p.
Adversarial dictionary learning for a robust analysis and modelling of spontaneous neuronal activity
Autor:
Troullinou, Eirini, Tsagkatakis, Grigorios, Palagina, Ganna, Papadopouli, Maria, Smirnakis, Stelios Manolis, Tsakalides, Panagiotis
Publikováno v:
In Neurocomputing 7 May 2020 388:188-201