CECCATO, RICCARDO
CECCATO, RICCARDO
Dipartimento di Tecnica e Gestione dei Sistemi Industriali - DTG
A combined approach to detect key variables in thick data analytics
2020 Antonelli, Giovanni; ARBORETTI GIANCRISTOFARO, Rosa; Ceccato, Riccardo; Centomo, Paolo; Pegoraro, Luca; Salmaso, Luigi; Zecca, Marco
A comparison of nonparametric methods for multivariate two-sample tests
2024 ARBORETTI GIANCRISTOFARO, Rosa; Barzizza, Elena; Ceccato, Riccardo
A Data-Driven Approach to Understanding Customer Satisfaction
2024 Barzizza, Elena; Campbell, Stuart; Ceccato, Riccardo; Dobosz, Anna; Haag, Marco; Martins, Rafaella; Salmaso, Luigi
A Multi-Aspect Permutation Test for Goodness-of-Fit Problems
2022 Arboretti, R; Barzizza, E; Biasetton, N; Ceccato, R; Corain, L; Salmaso, L
A multivariate permutation test for Association
2023 Barzizza, E.; Ceccato, R.; Harrar, S.; Pesarin, F.; Salmaso, L.
A multivariate permutation test for the analysis of C-paired samples in the presence of multiple data types
2022 Arboretti, Rosa; Barzizza, Elena; Ceccato, Riccardo; Salmaso, Luigi
A multivariate permutation test for the analysis of market research data
2022 ARBORETTI GIANCRISTOFARO, Rosa; Barzizza, Elena; Biasetton, Nicolò; Ceccato, Riccardo; Disegna, Marta; Pegoraro, Luca; Salmaso, Luigi
A multivariate permutation test for the analysis of paired samples: the mixed data scenario
2022 Ceccato, Riccardo; Arboretti, Rosa; Barzizza, Elena; Biasetton, Nicolo; Disegna, Marta; Pegoraro, Luca; Salmas, Luigi
A multivariate ranking analysis on the employability of young adults
2023 Arboretti, Rosa; Barzizza, Elena; Biasetton, Nicolo; Ceccato, Riccardo; Fedeli, Monica; Tino, Concetta
A new permutation and Lasso-based interval selection technique
2020 ARBORETTI GIANCRISTOFARO, Rosa; Ceccato, Riccardo; Pegoraro, Luca; Salmaso, Luigi
A novel active learning criterion for experiments with multiple responses
2022 Arboretti, Rosa; Barzizza, Elena; Biasetton, Nicolò; Ceccato, Riccardo; Disegna, Marta; Pegoraro, Luca; Salmaso, Luigi
A study of Design of Experiments and machine learning methods to improve fault detection algorithms
2023 Arboretti, Rosa; Ceccato, Riccardo; Pegoraro, Luca; Salmaso, Luigi
Active learning for noisy physical experiments with more than two responses
2022 Arboretti, Rosa; Ceccato, Riccardo; Pegoraro, Luca; Salmaso, Luigi
Big Data Analytics and Machine Learning in Supply Chain 4.0: A Literature Review
2023 Barzizza, Elena; Biasetton, Nicolò; Ceccato, Riccardo; Salmaso, Luigi
Cluster-based Customer satisfaction analysis
2024 Barzizza, Elena; Ceccato, Riccardo; Salmaso, Luigi
Clustering Consumer Based on Text Sentiment Analysis and Fuzzy Rating
2022 Arboretti, Rosa; Barzizza, Elena; Biasetton, Nicolò; Ceccato, Riccardo; Disegna, Marta; Pegoraro, Luca; Salmaso, Luigi
Design choice and machine learning model performances
2022 Arboretti, R.; Ceccato, R.; Pegoraro, L.; Salmaso, L.
Design of Experiment-based Configuration of Hyperparameters Of An Artificial Neural Network
2020 ARBORETTI GIANCRISTOFARO, Rosa; Ceccato, Riccardo; Pegoraro, Luca; Salmaso, Luigi
Design of Experiment: A Rational and Still Unexplored Approach to Inorganic Materials’ Synthesis
2022 Lamberti, Francesco; Mazzariol, Chiara; Spolaore, Federico; Ceccato, Riccardo; Salmaso, Luigi; Gross, Silvia
Design of Experiments and machine learning for product innovation: A systematic literature review
2022 Arboretti, Rosa; Ceccato, Riccardo; Pegoraro, Luca; Salmaso, Luigi