PEGORARO, LUCA
PEGORARO, LUCA
Università di Padova
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 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 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
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 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
Design of experiments and machine learning with application to industrial experiments
2023 Fontana, Roberto; Molena, Alberto; Pegoraro, Luca; Salmaso, Luigi
Gaussian Process structure for the emulation of deterministic and stochastic solvers: a simulation study
2021 ARBORETTI GIANCRISTOFARO, Rosa; Ceccato, Riccardo; Pegoraro, Luca; Salmaso, Luigi
Impact of sample size on stochastic ordering tests: a simulation study
2021 Arboretti, Rosa; Ceccato, Riccardo; Pegoraro, Luca; Salmaso, Luigi
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 Katrakova-Kruger, D.; Pegoraro, L.; Salmaso, L.; Hartl, C.; Schulz, I.; Weichert, S.; Steffen, R.
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-based sentiment analysis with fuzzy data to predict online customer satisfaction
2022 ARBORETTI GIANCRISTOFARO, Rosa; Barzizza, Elena; Biasetton, Nicolò; Ceccato, Riccardo; Disegna, Marta; Pegoraro, Luca; Salmaso, Luigi
Permutation tests for C-sample problems: A multivariate scenario
2022 ARBORETTI GIANCRISTOFARO, Rosa; Barzizza, Elena; Biasetton, Nicolò; Ceccato, Riccardo; Disegna, Marta; Pegoraro, Luca; Salmaso, Luigi