A Combined Approach To Detect Key Variables In Thick Data Analytics. - Giovanni Antonelli; Rosa Arboretti Giancristofaro; Riccardo Ceccato; Paolo Centomo; Luca Pegoraro; Luigi Salmaso; Marco Zecca (CoRR, 2020)

Design of experiments and machine learning to improve robustness of predictive maintenance with application to a real case study. - Luigi Salmaso; Luca Pegoraro; Rosa Arboretti Giancristofaro; Riccardo Ceccato; Alberto Bianchi; Silvio Restello; Davide Scarabottolo (Commun. Stat. Simul. Comput., 2022)

Design choice and machine learning model performances. - Rosa Arboretti; Riccardo Ceccato; Luca Pegoraro; Luigi Salmaso (Qual. Reliab. Eng. Int., 2022)

Design of Experiments and machine learning for product innovation: A systematic literature review. - Rosa Arboretti Giancristofaro; Riccardo Ceccato; Luca Pegoraro; Luigi Salmaso (Qual. Reliab. Eng. Int., 2022)

Permutation testing for thick data when the number of variables is much greater than the sample size: recent developments and some recommendations. - Patrick B. Langthaler; Riccardo Ceccato; Luigi Salmaso; Rosa Arboretti; Arne C. Bathke (Comput. Stat., 2023)

Efficient Sensors Selection for Traffic Flow Monitoring: An Overview of Model-Based Techniques leveraging Network Observability. - Marco Fabris; Riccardo Ceccato; Andrea Zanella (CoRR, 2024)

Multi-aspect permutation tests for model selection. - Elena Barzizza; Nicolò Biasetton; Riccardo Ceccato (Expert Syst. J. Knowl. Eng., 2024)

Permutation tests for multivariate order-constrained testing problems. - Huiting Huang; Elena Barzizza; Riccardo Ceccato; Fortunato Pesarin (Commun. Stat. Simul. Comput., 2025)

A comparison of nonparametric methods for multivariate two-sample tests. - Rosa Arboretti; Elena Barzizza; Riccardo Ceccato (Commun. Stat. Simul. Comput., 2025)