activity
20042025
most citedDeep learning approach for identification of HII regions during reionization in 21-cm observations -- III. image recovery

5 citations · 11 across the 5 of their papers we have counts for

collaborators

7 papers

astro-ph.CO2025★ 1 cited

Implicit inference of the reionization history with higher-order statistics of the 21-cm signal

Nicolas Cerardi, Sambit K. Giri, Michele Bianco +9

The Epoch of Reionization (EoR), when the first luminous sources ionised the intergalactic medium, represents a new frontier in cosmology. The Square Kilometre Array Observatory (S…

astro-ph.CO2025

Exploring the Early Universe with Deep Learning

Emmanuel de Salis, Massimo De Santis, Davide Piras +9

Hydrogen is the most abundant element in our Universe. The first generation of stars and galaxies produced photons that ionized hydrogen gas, driving a cosmological event known as…

astro-ph.CO2024★ 5 cited

Deep learning approach for identification of HII regions during reionization in 21-cm observations -- III. image recovery

Michele Bianco, Sambit. K. Giri, Rohit Sharma +7

The low-frequency component of the upcoming Square Kilometre Array Observatory (SKA-Low) will be sensitive enough to construct 3D tomographic images of the 21-cm signal distributio…

cs.DB2020★ 1 cited

Workload Prediction of Business Processes -- An Approach Based on Process Mining and Recurrent Neural Networks

Fabrizio Albertetti, Hatem Ghorbel

Recent advances in the interconnectedness and digitization of industrial machines, known as Industry 4.0, pave the way for new analytical techniques. Indeed, the availability and t…

cs.CL2004

Automatic Keyword Extraction from Spoken Text. A Comparison of two Lexical Resources: the EDR and WordNet

Lonneke van der Plas, Vincenzo Pallotta, Martin Rajman +1

Lexical resources such as WordNet and the EDR electronic dictionary have been used in several NLP tasks. Probably, partly due to the fact that the EDR is not freely available, Word…

cs.CL2004

An argumentative annotation schema for meeting discussions

Vincenzo Pallotta, Hatem Ghorbel, Patrick Ruch +1

In this article, we are interested in the annotation of transcriptions of human-human dialogue taken from meeting records. We first propose a meeting content model where conversati…