3 papers
cs.LG2024
Denoising ESG: quantifying data uncertainty from missing data with Machine Learning and prediction intervals
Sergio Caprioli, Jacopo Foschi, Riccardo Crupi +1
Environmental, Social, and Governance (ESG) datasets are frequently plagued by significant data gaps, leading to inconsistencies in ESG ratings due to varying imputation methods. T…
astro-ph.HE2024
HERMES: Gamma Ray Burst and Gravitational Wave counterpart hunter
G. Ghirlanda, L. Nava, O. Salafia +67
Gamma Ray Bursts (GRBs) bridge relativistic astrophysics and multi-messenger astronomy. Space-based gamma/X-ray wide field detectors have proven essential to detect and localize th…
astro-ph.HE2024
Deep Learning for Gamma-Ray Bursts: A data driven event framework for X/Gamma-Ray analysis in space telescopes
Riccardo Crupi
This thesis comprises the first three chapters dedicated to providing an overview of Gamma Ray-Bursts (GRBs), their properties, the instrumentation used to detect them, and Artific…