Riccardo Ceccato

According to our database, Riccardo Ceccato authored at least 12 papers between 2020 and 2026.

Collaborative distances:

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

2026

Data-driven ticket pricing in football: leveraging customer perceived value for revenue optimization.

Rosa Arboretti, Nicolò Biasetton, Riccardo Ceccato, Alberto Molena, Luigi Salmaso

J. Big Data, December, 2026

2025

Finding exclusive peak with permutation testing.

Rosa Arboretti, Elena Barzizza, Riccardo Ceccato

Comput. Stat., November, 2025

A comparison of nonparametric methods for multivariate two-sample tests.

Rosa Arboretti, Elena Barzizza, Riccardo Ceccato

Commun. Stat. Simul. Comput., June, 2025

Permutation tests for multivariate order-constrained testing problems.

Huiting Huang, Elena Barzizza, Riccardo Ceccato, Fortunato Pesarin

Commun. Stat. Simul. Comput., January, 2025

Understanding Psychological Determinants of Technology Adoption for Future Mobility-as-a-Service Applications.

Marilina Pellegrini, Riccardo Ceccato, Andrea Spoto, Mariaelena Tagliabue, Massimiliano Gastaldi, Riccardo Rossi

Proceedings of the 9th International Conference on Models and Technologies for Intelligent Transportation Systems, 2025

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