CECCATO, RICCARDO
CECCATO, RICCARDO
Dipartimento di Tecnica e Gestione dei Sistemi Industriali - DTG
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
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
Design choice and machine learning model performances
2022 Arboretti, R.; Ceccato, R.; Pegoraro, L.; Salmaso, L.
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
Design of experiments and machine learning to improve robustness of predictive maintenance with application to a real case study
2022 Pegoraro, Luca; Salmaso, Luigi; ARBORETTI GIANCRISTOFARO, Rosa; Ceccato, Riccardo; Alberto, Bianchi; Silvio, Restello; Davide, Scarabottolo
Different views of the multivariate ranking problem
2023 Corain, Livio; Arboretti, Rosa; Bonnini, Stefano; Ceccato, Riccardo; Salmaso, Luigi
Improved Non-Invasive Diagnosis of Bladder Cancer with an Electronic Nose: A Large Pilot Study
2021 Bassi, Pierfrancesco; Di Gianfrancesco, Luca; Salmaso, Luigi; Ragonese, Mauro; Palermo, Giuseppe; Sacco, Emilio; Giancristofaro, Rosa Arboretti; Ceccato, Riccardo; Racioppi, Marco
Improved non-invasive diagnosis of Bladder Cancer: A large pilot study with electronic nose
2020 Bassi, P. F.; Di Gianfrancesco, L.; Ragonese, M.; Sacco, E.; Palermo, G.; Arboretti, R.; Ceccato, R.; Salmaso, L.; Racioppi, M.
Interval selection: A case-study-based approach
2021 Arboretti, R.; Ceccato, R.; Pegoraro, L.; Salmaso, L.
Knowledge management implementation in small and micro KIBS: A categorization
2023 Bolisani, E.; Scarso, E.; Ceccato, R.; Zieba, M.
Machine learning and design of experiments with an application to product innovation in the chemical industry
2022 Arboretti, Rosa; Ceccato, Riccardo; Pegoraro, Luca; Salmaso, Luigi; Housmekerides, Chris; Spadoni, Luca; Pierangelo, Elisabetta; Quaggia, Sara; Tveit, Catherine; Vianello, Sebastiano
Machine learning approach for predicting refrigerant two-phase pressure drop inside Brazed Plate Heat Exchangers (BPHE)
2020 Longo, G. A.; Mancin, S.; Righetti, G.; Zilio, C.; Ceccato, R.; Salmaso, L.
Multi-aspect permutation tests for model selection
2023 Barzizza, Elena; Biasetton, Nicolò; Ceccato, Riccardo
Multivariate small sample tests for two-way designs with applications to industrial statistics
2018 Arboretti, Rosa; Ceccato, Riccardo; Corain, Livio; Ronchi, Fabrizio; Salmaso, Luigi
Permutation testing for goodness-of-fit and stochastic ordering with multivariate mixed variables
2021 Arboretti, R.; Ceccato, R.; Salmaso, L.
Permutation testing for thick data when the number of variables is much greater than the sample size: recent developments and some recommendations
2023 Langthaler, P. B.; Ceccato, R.; Salmaso, L.; Arboretti, R.; Bathke, A. C.
Permutation tests for multivariate order-constrained testing problems
2023 Huang, Huiting; Barzizza, Elena; Ceccato, Riccardo; Pesarin, Fortunato