Docente a contratto
Settore scientifico disciplinare: 


A.A.: 2018/2019


  • Cappozzo, A., Greselin, F., & Murphy, T. (2019). A robust approach to model-based classification based on trimming and constraints. ADVANCES IN DATA ANALYSIS AND CLASSIFICATION, Online First. Dettaglio
  • Cappozzo, A., Greselin, F., & Manzi, G. (2019). Predicting and improving smart mobility: a robust model-based approach to the BikeMi BSS. In G. Arbia, S. Peluso, & G. Rivellini (a cura di), Smart Statistics for Smart Applications 2019 - Book of Short papers (pp. 737-742). Milano : Pearson. Dettaglio
  • Cappozzo, A., & Greselin, F. (2019). Detecting wine adulterations employing robust mixture of factor analyzers. In L.D. Francesca Greselin (a cura di), Statistical Learning of Complex Data (pp. 13-21). Springer Berlin Heidelberg. Dettaglio
  • Cappozzo, A., Greselin, F., & Murphy, T. (2019). Supervised learning in presence of outliers, label noise and unobserved classes. In G. Porzio, F. Greselin, & S. Balzano (a cura di), Book of short papers | Cladag2019 (pp. 104-107). Centro Editoriale di Ateneo Università di Cassino e del Lazio Meridionale. Dettaglio
  • Cappozzo, A., Greselin, F., & Brendan, M. (2018). The role of trimming and variable selection in robust model-based classification for food authenticity studies. In A.G. Colubi (a cura di), COMPSTAT 2018 Book of Abstracts (pp. 35-35). COMPSTAT and CRoNoS. Dettaglio