CECCATO, RICCARDO

CECCATO, RICCARDO  

Dipartimento di Tecnica e Gestione dei Sistemi Industriali - DTG  

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Titolo Data di pubblicazione Autori Rivista Serie Titolo libro
A combined approach to detect key variables in thick data analytics 2020 Giovanni AntonelliRosa ArborettiRiccardo CeccatoPaolo CentomoLuca PegoraroLuigi SalmasoMarco Zecca - - Proceedings of Workshop 2020 Statistics and Innovation for Industry 4.0
A Multi-Aspect Permutation Test for Goodness-of-Fit Problems 2022 Arboretti, RBarzizza, EBiasetton, NCeccato, RCorain, LSalmaso, L STATS - -
A multivariate permutation test for the analysis of paired samples: the mixed data scenario 2022 Riccardo CeccatoRosa ArborettiElena BarzizzaMarta DisegnaLuca Pegoraro + - - COMPSTAT 2022 Book of Abstracts
A new permutation and Lasso-based interval selection technique 2020 Rosa ArborettiRiccardo CeccatoLuca PegoraroLuigi Salmaso - - Proceedings of the 2020 JSM - Joint Statistical Meetings
A study of Design of Experiments and machine learning methods to improve fault detection algorithms In corso di stampa Rosa ArborettiRiccardo CeccatoLuca PegoraroLuigi Salmaso - - Simulation, DoE and Statistics – Methods and Applications. SimStat, Salzburg 2019
Active learning for noisy physical experiments with more than two responses 2022 Arboretti, RosaCeccato, RiccardoPegoraro, LucaSalmaso, Luigi CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS - -
Big Data Analytics and Machine Learning in Supply Chain 4.0: A Literature Review 2023 Barzizza, ElenaBiasetton, NicolòCeccato, RiccardoSalmaso, Luigi STATS - -
Clustering Consumer Based on Text Sentiment Analysis and Fuzzy Rating 2022 Rosa ArborettiElena BarzizzaNicolò BiasettonRiccardo CeccatoMarta DisegnaLuca PegoraroLuigi Salmaso - - ISBIS CONFERENCE 2022 on “Statistics and Data Science in Business and Industry”
Design choice and machine learning model performances 2022 Arboretti R.Ceccato R.Pegoraro L.Salmaso L. QUALITY AND RELIABILITY ENGINEERING INTERNATIONAL - -
Design of Experiment-based Configuration of Hyperparameters Of An Artificial Neural Network 2020 Rosa ArborettiRiccardo CeccatoLuca PegoraroLuigi Salmaso - - Proceedings of the 2020 JSM - Joint Statistical Meetings
Design of Experiment: A Rational and Still Unexplored Approach to Inorganic Materials’ Synthesis 2022 Chiara MazzariolRiccardo CeccatoLuigi SalmasoSilvia Gross + SUSTAINABLE CHEMISTRY - -
Design of Experiments and machine learning for product innovation: A systematic literature review 2022 Arboretti, RosaCeccato, RiccardoPegoraro, LucaSalmaso, Luigi QUALITY AND RELIABILITY ENGINEERING INTERNATIONAL - -
Design of experiments and machine learning to improve robustness of predictive maintenance with application to a real case study 2022 PEGORARO, LUCALuigi SalmasoRosa Arboretti GiancristofaroCECCATO, RICCARDO + COMMUNICATIONS IN STATISTICS. SIMULATION AND COMPUTATION - -
End-to-End Data Analytics for Product Development 2022 Rosa Arboretti GiancristofaroRiccardo CeccatoLuigi Salmaso - - Wiley StatRef: Statistics Reference Online
Gaussian Process structure for the emulation of deterministic and stochastic solvers: a simulation study 2021 Rosa ArborettiRiccardo CeccatoLuca PegoraroLuigi Salmaso - - Proceedings of the 2021 JSM - Joint Statistical Meetings
Impact of sample size on stochastic ordering tests: a simulation study 2021 Arboretti, RosaCeccato, RiccardoPegoraro, LucaSalmaso, Luigi - - Book of short papers - SIS 2021
Improved Non-Invasive Diagnosis of Bladder Cancer with an Electronic Nose: A Large Pilot Study 2021 Bassi, PierFrancescoSalmaso, LuigiGiancristofaro, Rosa ArborettiCeccato, Riccardo + JOURNAL OF CLINICAL MEDICINE - -
Improved non-invasive diagnosis of Bladder Cancer: A large pilot study with electronic nose 2020 Bassi P. F.Palermo G.Arboretti R.Ceccato R.Salmaso L. + EUROPEAN UROLOGY OPEN SCIENCE - -
Interval selection: A case-study-based approach 2021 Arboretti R.Ceccato R.Pegoraro L.Salmaso L. APPLIED STOCHASTIC MODELS IN BUSINESS AND INDUSTRY - -
Knowledge management implementation in small and micro KIBS: A categorization 2022 Bolisani E.Scarso E.Ceccato R. + KNOWLEDGE AND PROCESS MANAGEMENT - -