SALMASO, LUIGI

SALMASO, LUIGI  

Dipartimento di Tecnica e Gestione dei Sistemi Industriali - DTG  

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Titolo Data di pubblicazione Autori Rivista Serie Titolo libro
A Data-Driven Approach to Understanding Customer Satisfaction 2024 Elena BarzizzaRiccardo CeccatoLuigi Salmaso + Journal of Machine Intelligence and Data Science - -
An ensemble Machine Learning algorithm for Lead Time Prediction 2024 Barzizza, ElenaBiasetton, NicolòDisegna, MartaMolena, AlbertoSalmaso, Luigi JOURNAL OF MACHINE INTELLIGENCE AND DATA SCIENCE (JMIDS) - -
Cluster-based Customer satisfaction analysis 2024 Barzizza ElenaCeccato RiccardoSalmaso Luigi - - ICSTA 2024 Conference Proceedings
Cub model-based clustering of Likert-type data with a tourist satisfaction application 2024 Biasetton NicolòDisegna MartaSalmaso Luigi + ANNALS OF OPERATIONS RESEARCH - -
Hydroxy‐carboxylic acids as green and abundant ligands for sustainable recovery of copper from a multimetallic powder: a proof of concept 2024 Ostellari, PietroBragaggia, GiuliaSandon, AnnalisaLavagnolo, Maria CristinaSalmaso, LuigiGross, Silvia + CHEMSUSCHEM - -
Large Language Model application and tuning for product analysis: a preliminary investigation 2024 Barzizza ElenaBiasetton NicolòSalmaso Luigi + - - ICSTA 2024 Conference Proceedings
Predictive Stadium Attendance Using Machine Leaning: A Case Study in Italian Football 2024 Rosa ArborettiNicolò BiasettonRiccardo CeccatoAlberto MolenaLuigi Salmaso + JOURNAL OF MACHINE INTELLIGENCE AND DATA SCIENCE (JMIDS) - -
Recent Developments in Machine Learning Techniques for Handover Optimization in 5G 2024 Barzizza ElenaLuigi Salmaso + - - ICSTA 2024 Conference Proceedings
Sustainability and Resilience in the MICS SPOKE8 project: the role of the Digital Twin 2024 N. BertiD. BattiniA. GaleazzoP. RoccoL. SalmasoG. A. Susto + - - Proceedings of the IEEE International Conference on Metrology for eXtended Reality, Artificial Intel- ligence and Neural Engineering (METROXRAINE 2024)
A multivariate permutation test for Association 2023 Barzizza E.Ceccato R.Salmaso L. + Cladag 2023 Book of Abstract and Short Papers - Cladag 2023 Book of Abstract and Short Papers
A new adaptive membership function with CUB uncertainty with application to cluster analysis of Likert-type data 2023 Nicolò BiasettonMarta DisegnaElena BarzizzaLuigi Salmaso EXPERT SYSTEMS WITH APPLICATIONS - -
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
Big Data Analytics and Machine Learning in Supply Chain 4.0: A Literature Review 2023 Barzizza, ElenaBiasetton, NicolòCeccato, RiccardoSalmaso, Luigi STATS - -
Combining design of experiments and machine learning in industrial experiments 2023 Alberto MolenaLuigi Salmaso + - - Book of abstracts: 16th International Conference of the ERCIM (European Research Consortium for Informatics and Mathematics) Working Group on Computational and Methodological Statistics (CMStatistics 2023)
Design of experiments and machine learning with application to industrial experiments 2023 Molena AlbertoPegoraro LucaSalmaso Luigi + STATISTICAL PAPERS - -
Different views of the multivariate ranking problem 2023 Livio CorainRosa ArborettiRiccardo CeccatoLuigi Salmaso + ELECTRONIC JOURNAL OF APPLIED STATISTICAL ANALYSIS - -
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 - -
MULTIVARIATE PERMUTATION MCNEMAR’S TEST WITH APPLICATION TO PERFORMANCE EVALUATION OF BASKET PLAYERS 2023 Livio CorainLuigi Salmaso + STATISTICA APPLICATA - -
Multivariate permutation test for model selection 2023 Elena BarzizzaRiccardo CeccatoLuigi Salmaso - - PROCEEDINGS OF THE 5TH INTERNATIONAL CONFERENCE ON STATISTICS: THEORY AND APPLICATIONS (ICSTA 2023)
Permutation testing for thick data when the number of variables is much greater than the sample size: recent developments and some recommendations 2023 Ceccato R.Salmaso L.Arboretti R. + COMPUTATIONAL STATISTICS - -