PEGORARO, LUCA

PEGORARO, LUCA  

Università di Padova  

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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 multivariate permutation test for the analysis of paired samples: the mixed data scenario 2022 Riccardo CeccatoRosa ArborettiElena BarzizzaNicolo BiasettonMarta 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 novel active learning criterion for experiments with multiple responses 2022 Rosa ArborettiElena BarzizzaNicolò BiasettonRiccardo CeccatoMarta DisegnaLuca PegoraroLuigi Salmaso - - Compstat 2022: Book of Abstracts
A study of Design of Experiments and machine learning methods to improve fault detection algorithms 2023 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 - -
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 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 - -
Design of experiments and machine learning with application to industrial experiments 2023 Molena AlbertoPegoraro LucaSalmaso Luigi + STATISTICAL PAPERS - -
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
Industrial Statistics and Machine Learning for Product Innovation 2023 PEGORARO, LUCA - - -
Laser Welding of Nitinol Thin Foils: Mechanical Properties and Microstructure Depending on Process Parameters 2023 Pegoraro L.Salmaso L. + METALLURGICAL AND MATERIALS TRANSACTIONS. A, PHYSICAL METALLURGY AND MATERIALS SCIENCE - -
Machine learning and design of experiments with an application to product innovation in the chemical industry 2022 Arboretti, RosaCeccato, RiccardoPegoraro, LucaSalmaso, Luigi + JOURNAL OF APPLIED STATISTICS - -
Permutation tests for C-sample problems: A multivariate scenario 2022 Rosa ArborettiElena BarzizzaNicolo BiasettonRiccardo CeccatoMarta DisegnaLuca PegoraroLuigi Salmaso - - Compstat 2022: Book of Abstracts
Permutation Tests for Model Selection 2022 Rosa ArborettiElena BarzizzaNicolò BiasettonRiccardo CeccatoMarta DisegnaLuca PegoraroLuigi Salmaso - - ISBIS CONFERENCE 2022 on “Statistics and Data Science in Business and Industry”