219 citations · 1.1k across the 56 of their papers we have counts for
57 papers
ULISSE: Determination of star-formation rate and stellar mass based on the one-shot galaxy imaging technique
Olena Torbaniuk, Lars Doorenbos, Maurizio Paolillo +3
Modern sky surveys produce vast amounts of observational data, making the application of classical methods for estimating galaxy properties challenging and time-consuming. This cha…
Navigating AGN variability with self-organizing maps
Ylenia Maruccia, Demetra De Cicco, Stefano Cavuoti +6
Context. The classification of active galactic nuclei (AGNs) is a challenge in astrophysics. Variability features extracted from light curves offer a promising avenue for distingui…
The Evolutionary Path of Star-Forming Clumps in Hi-GAL
Ylenia Maruccia, Stefano Cavuoti, Massimo Brescia +4
Star formation (SF) studies are benefiting from the huge amount of data made available by recent large-area Galactic plane surveys conducted between 2 μm and 3 mm. Fully characteri…
The fifth data release of the Kilo Degree Survey: Multi-epoch optical/NIR imaging covering wide and legacy-calibration fields
Angus H. Wright, Konrad Kuijken, Hendrik Hildebrandt +51
We present the final data release of the Kilo-Degree Survey (KiDS-DR5), a public European Southern Observatory (ESO) wide-field imaging survey optimised for weak gravitational lens…
Leveraging Transfer Learning for Astronomical Image Analysis
Stefano Cavuoti, Lars Doorenbos, Demetra De Cicco +7
The exponential growth of astronomical data from large-scale surveys has created both opportunities and challenges for the astrophysics community. This paper explores the possibili…
AMBER -- Advanced SegFormer for Multi-Band Image Segmentation: an application to Hyperspectral Imaging
Andrea Dosi, Massimo Brescia, Stefano Cavuoti +8
Deep learning has revolutionized the field of hyperspectral image (HSI) analysis, enabling the extraction of complex spectral and spatial features. While convolutional neural netwo…