Advanced Environment for Knowledge Discovery in the VIALACTEA Project
Ugo Becciani, Marilena Bandieramonte, Massimo Brescia, Robert Butora,, Stefano Cavuoti, Alessandro Costa, Anna Maria di Giorgio, Davide Elia, Akos, Hajnal, Peter Kacsuk, Scige John Liu, Amata Mercurio, Sergio Molinari, Marco, Molinaro, Giuseppe Riccio, Eugenio Schisano

TL;DR
The paper introduces an integrated framework within the VIALACTEA project designed to develop a predictive model of star formation in our galaxy, combining innovative technologies and methodologies.
Contribution
It presents a novel integrated environment and methodologies specifically tailored for modeling star formation in the galaxy.
Findings
Development of a comprehensive framework for star formation prediction
Integration of advanced technologies for data analysis
Successful implementation of the environment in the VIALACTEA project
Abstract
The VIALACTEA project aims at building a predictive model of star formation in our galaxy. We present the innovative integrated framework and the main technologies and methodologies to reach this ambitious goal.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
