23 citations · 23 across the 2 of their papers we have counts for
2 papers
stat.ML2022★ 23 cited
Design choice and machine learning model performances
Rosa Arboretti, Riccardo Ceccato, Luca Pegoraro +1
An increasing number of publications present the joint application of Design of Experiments (DOE) and machine learning (ML) as a methodology to collect and analyze data on a specif…
stat.ML2020
A Combined Approach To Detect Key Variables In Thick Data Analytics
Giovanni Antonelli, Rosa Arboretti Giancristofaro, Riccardo Ceccato +4
In machine learning one of the strategic tasks is the selection of only significant variables as predictors for the response(s). In this paper an approach is proposed which consist…