most citedIntegrating supervised and unsupervised learning approaches to unveil critical process inputs

8 citations · 8 across the 2 of their papers we have counts for

collaborators

2 papers

physics.chem-ph2024

Discovering deposition process regimes: leveraging unsupervised learning for process insights, surrogate modeling, and sensitivity analysis

Geremy Loachamín Suntaxi, Paris Papavasileiou, Eleni D. Koronaki +8

This work introduces a comprehensive approach utilizing data-driven methods to elucidate the deposition process regimes in Chemical Vapor Deposition (CVD) reactors and the interpla…

cs.LG2024★ 8 cited

Integrating supervised and unsupervised learning approaches to unveil critical process inputs

Paris Papavasileiou, Dimitrios G. Giovanis, Gabriele Pozzetti +6

This study introduces a machine learning framework tailored to large-scale industrial processes characterized by a plethora of numerical and categorical inputs. The framework aims…