| Design of Experiments and machine learning for product innovation: A systematic literature review R Arboretti, R Ceccato, L Pegoraro, L Salmaso Quality and Reliability Engineering International 38 (2), 1131-1156, 2022 | 65 | 2022 |
| Design of experiments and machine learning to improve robustness of predictive maintenance with application to a real case study L Salmaso, L Pegoraro, RA Giancristofaro, R Ceccato, A Bianchi, ... Communications in Statistics-Simulation and Computation 51 (2), 570-582, 2022 | 25 | 2022 |
| Machine learning and design of experiments with an application to product innovation in the chemical industry R Arboretti, R Ceccato, L Pegoraro, L Salmaso, C Housmekerides, ... Journal of applied statistics 49 (10), 2674-2699, 2022 | 24 | 2022 |
| New insights on juvenile psoriatic arthritis F Brunello, F Tirelli, L Pegoraro, F Dell'Apa, A Alfisi, G Calzamatta, ... Frontiers in Pediatrics 10, 884727, 2022 | 24 | 2022 |
| Design of experiments and machine learning with application to industrial experiments R Fontana, A Molena, L Pegoraro, L Salmaso Statistical Papers 64 (4), 1251-1274, 2023 | 15 | 2023 |
| Long time series analysis of air quality data in the Veneto region (Northern Italy) to support environmental policies A Pivato, L Pegoraro, M Masiol, E Bortolazzo, T Bonato, G Formenton, ... Atmospheric Environment 298, 119610, 2023 | 14 | 2023 |
| Design choice and machine learning model performances R Arboretti, R Ceccato, L Pegoraro, L Salmaso Quality and Reliability Engineering International 38 (7), 3357-3378, 2022 | 14 | 2022 |
| Laser Welding of Nitinol Thin Foils: Mechanical Properties and Microstructure Depending on Process Parameters D Katrakova-Krüger, L Pegoraro, L Salmaso, C Hartl, I Schulz, S Weichert, ... Metallurgical and Materials Transactions A 54 (3), 998-1009, 2023 | 3 | 2023 |
| Active learning for noisy physical experiments with more than two responses R Arboretti, R Ceccato, L Pegoraro, L Salmaso Chemometrics and Intelligent Laboratory Systems 226, 104595, 2022 | 2 | 2022 |
| A study of design of experiments and machine learning methods to improve fault detection algorithms R Arboretti, R Ceccato, L Pegoraro, L Salmaso Simulation, DoE and Statistics–Methods and Applications. SimStat, Salzburg 2019, 2023 | 1 | 2023 |
| Interval selection: A case‐study‐based approach R Arboretti, R Ceccato, L Pegoraro, L Salmaso Applied Stochastic Models in Business and Industry 37 (5), 926-941, 2021 | 1 | 2021 |
| La" capituloteca": una colección para explorar la diversidad de los capítulos en las Asteraceae O Hidalgo, M Balant, MJM Christenhusz, L Fu, IJ Leitch, L Palazzesi, ... | | 2023 |
| Industrial Statistics and Machine Learning for Product Innovation L Pegoraro Università degli studi di Padova, 2023 | | 2023 |
| La “capituloteca”: una colección para explorar ladiversidad de los capítulos en las Asteraceae OH Grani, M Balant, MJM Christenhusz, L Fu, IJ Leitch, L Palazzesi, ... Colecciones científicas: patrimonio natural y cultural único para la …, 2023 | | 2023 |
| Product Quality Control Forecast Using Machine Learning Algorithms: A Case Study R Arboretti, E Barzizza, N Biasetton, R Ceccato, L Corain, M Disegna, ... Proceedings of the 5th International Conference on Statistics: Theory and …, 2023 | | 2023 |
| A multivariate permutation test for the analysis of market research data R ARBORETTI GIANCRISTOFARO, E Barzizza, N Biasetton, R Ceccato, ... COMPSTAT 2022 Book of Abstracts, 2022 | | 2022 |
| Machine learning-based sentiment analysis with fuzzy data to predict online customer satisfaction R ARBORETTI GIANCRISTOFARO, E Barzizza, N Biasetton, R Ceccato, ... COMPSTAT 2022 Book of Abstracts, 2022 | | 2022 |
| Clustering Consumer Based on Text Sentiment Analysis and Fuzzy Rating R Arboretti, E Barzizza, N Biasetton, R Ceccato, M Disegna, L Pegoraro, ... ISBIS CONFERENCE 2022 on “Statistics and Data Science in Business and Industry”, 2022 | | 2022 |
| A novel active learning criterion for experiments with multiple responses R Arboretti, E Barzizza, N Biasetton, R Ceccato, M Disegna, L Pegoraro, ... Compstat 2022: Book of Abstracts, 2022 | | 2022 |
| Permutation tests for C-sample problems: A multivariate scenario R Arboretti, E Barzizza, N Biasetton, R Ceccato, M Disegna, L Pegoraro, ... Compstat 2022: Book of Abstracts, 2022 | | 2022 |
Luigi SalmasoDept. of Management and EngineeringCorreu electrònic verificat a unipd.it