| Anomaly and Novelty detection for robust semi-supervised learning A Cappozzo, F Greselin, TB Murphy Statistics and Computing 30 (5), 1545-1571, 2020 | 21 | 2020 |
| A robust approach to model-based classification based on trimming and constraints: Semi-supervised learning in presence of outliers and label noise A Cappozzo, F Greselin, TB Murphy Advances in Data Analysis and Classification 14 (2), 327-354, 2020 | 20 | 2020 |
| Robust variable selection in the framework of classification with label noise and outliers: Applications to spectroscopic data in agri-food A Cappozzo, L Duponchel, F Greselin, TB Murphy Analytica Chimica Acta 1153, 338245, 2021 | 11 | 2021 |
| A blood DNA methylation biomarker for predicting short-term risk of cardiovascular events A Cappozzo, C McCrory, O Robinson, A Freni Sterrantino, C Sacerdote, ... Clinical Epigenetics 14 (1), 121, 2022 | 10 | 2022 |
| Parameter choice, stability and validity for robust cluster weighted modeling A Cappozzo, LA García Escudero, F Greselin, A Mayo-Iscar Stats 4 (3), 602-615, 2021 | 7 | 2021 |
| Group-wise shrinkage estimation in penalized model-based clustering A Casa, A Cappozzo, M Fop Journal of Classification 39 (3), 648-674, 2022 | 4 | 2022 |
| Graphical and computational tools to guide parameter choice for the cluster weighted robust model A Cappozzo, LA García-Escudero, F Greselin, A Mayo-Iscar Journal of Computational and Graphical Statistics 32 (3), 1195-1214, 2023 | 3 | 2023 |
| A two-stage Bayesian semiparametric model for novelty detection with robust prior information F Denti, A Cappozzo, F Greselin Statistics and Computing 31 (4), 42, 2021 | 2 | 2021 |
| Robust variable selection for model-based learning in presence of adulteration A Cappozzo, F Greselin, TB Murphy Computational statistics & data analysis 158, 107186, 2021 | 2 | 2021 |
| Penalized model-based clustering for three-way data structures A Cappozzo, C Alessandro, F Michael SIS 2021| Book of Short Papers, 758-763, 2021 | 1 | 2021 |
| Detecting wine adulterations employing robust mixture of factor analyzers A Cappozzo, F Greselin Statistical Learning of Complex Data 11, 13-21, 2019 | 1 | 2019 |
| An object oriented approach to multimodal imaging data in neuroscience A Cappozzo, F Ferraccioli, M Stefanucci, P Secchi Studies in Neural Data Science: StartUp Research 2017, Siena, Italy, June 25 …, 2018 | 1 | 2018 |
| Variational inference for semiparametric Bayesian novelty detection in large datasets L Benedetti, E Boniardi, L Chiani, J Ghirri, M Mastropietro, A Cappozzo, ... Advances in Data Analysis and Classification, 1-23, 2023 | | 2023 |
| A general framework for penalized mixed-effects multitask learning with applications on DNA methylation surrogate biomarkers creation A Cappozzo, F Ieva, G Fiorito The Annals of Applied Statistics 17 (4), 3257-3282, 2023 | | 2023 |
| Sparse model-based clustering of three-way data via lasso-type penalties A Cappozzo, A Casa, M Fop arXiv preprint arXiv:2307.10673, 2023 | | 2023 |
| Model-based clustering of right-censored lifetime data with frailties and random covariates A Cappozzo, C Masci, F Ieva12, A Maria CLADAG2023, 2023 | | 2023 |
| Monitoring Tools in Robust CWM for the Analysis of Crime Data A Cappozzo, LA García-Escudero, F Greselin, A Mayo-Iscar International Conference on Soft Methods in Probability and Statistics, 65-72, 2022 | | 2022 |
| Penalized model-based clustering with group-dependent shrinkage estimation A Casa, A Cappozzo, M Fop International Conference on Soft Methods in Probability and Statistics, 73-78, 2022 | | 2022 |
| A two-stage Bayesian semiparametricmodel for novelty detection with robust prior information (vol 31, 42, 2021) F Denti, A Cappozzo, F Greselin STATISTICS AND COMPUTING 32 (1), 2022 | | 2022 |
| Correction to: A two-stage Bayesian semiparametricmodel for novelty detection with robust prior information. F Denti, A Cappozzo, F Greselin Stat. Comput. 32 (1), 18, 2022 | | 2022 |
