Riccardo Ceccato

According to our database, Riccardo Ceccato authored at least 7 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Multi-aspect permutation tests for model selection.

Elena Barzizza, Nicolò Biasetton, Riccardo Ceccato

Expert Syst. J. Knowl. Eng., March, 2024

Efficient Sensors Selection for Traffic Flow Monitoring: An Overview of Model-Based Techniques leveraging Network Observability.

Marco Fabris, Riccardo Ceccato, Andrea Zanella

CoRR, 2024

2023

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., March, 2023

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

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 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

2020

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