| Training and assessing classification rules with imbalanced data G Menardi, N Torelli Data mining and knowledge discovery 28, 92-122, 2014 | 843 | 2014 |
| ROSE: a package for binary imbalanced learning. N Lunardon, G Menardi, N Torelli R journal 6 (1), 2014 | 548 | 2014 |
| Clustering via nonparametric density estimation A Azzalini, N Torelli Statistics and Computing 17, 71-80, 2007 | 181 | 2007 |
| Modelling inaccuracies in job-search duration data N Torelli, U Trivellato Journal of econometrics 59 (1-2), 187-211, 1993 | 125 | 1993 |
| Combined effect of tobacco smoking and alcohol drinking in the risk of head and neck cancers: A re-analysis of case–control studies using bi-dimensional spline models L Dal Maso, N Torelli, E Biancotto, M Di Maso, A Gini, G Franchin, F Levi, ... European journal of epidemiology 31, 385-393, 2016 | 120 | 2016 |
| Alcohol drinking and head and neck cancer risk: the joint effect of intensity and duration G Di Credico, J Polesel, L Dal Maso, F Pauli, N Torelli, D Luce, L Radoï, ... British journal of cancer 123 (9), 1456-1463, 2020 | 115 | 2020 |
| Clustering of financial time series in risky scenarios F Durante, R Pappadà, N Torelli Advances in Data Analysis and Classification 8, 359-376, 2014 | 70 | 2014 |
| Clustering of time series via non-parametric tail dependence estimation F Durante, R Pappadà, N Torelli Statistical Papers 56, 701-721, 2015 | 50 | 2015 |
| Joint effects of intensity and duration of cigarette smoking on the risk of head and neck cancer: A bivariate spline model approach G Di Credico, V Edefonti, J Polesel, F Pauli, N Torelli, D Serraino, E Negri, ... Oral oncology 94, 47-57, 2019 | 49 | 2019 |
| Youth unemployment duration from the Italian labour force survey: Accuracy issues and modelling attempts N Torelli, U Trivellato European economic review 33 (2-3), 407-415, 1989 | 35 | 1989 |
| Una procedura per l'abbinamento di record nella rilevazione trimestrale delle forze di lavoro A Paggiaro, N Torelli Università di Padova, Dipartimento di scienze statistiche, 1999 | 28 | 1999 |
| Combining historical data and bookmakers’ odds in modelling football scores L Egidi, F Pauli, N Torelli Statistical Modelling 18 (5-6), 436-459, 2018 | 23 | 2018 |
| Analysis of labour force dynamics from rotating panel survey data U Trivellato, N Torelli Universita degli studi di Padova, Dipartimento di scienze statistiche, 1989 | 20 | 1989 |
| Hierarchical Bayesian models for small area estimation with count data M Trevisani, N Torelli Dipartimento di Scienze Economiche e Statistiche, Universita Degli studi di …, 2007 | 19 | 2007 |
| Avoiding prior–data conflict in regression models via mixture priors L Egidi, F Pauli, N Torelli Canadian Journal of Statistics 50 (2), 491-510, 2022 | 18 | 2022 |
| Relabelling in Bayesian mixture models by pivotal units L Egidi, R Pappada, F Pauli, N Torelli Statistics and Computing 28, 957-969, 2018 | 18 | 2018 |
| Measurement error and the estimation of gross flows from longitudinal economic data C Skinner, N Torelli Statistica 53 (3), 391-405, 1993 | 15 | 1993 |
| Statistical matching of two surveys with a non randomly selected common subset N Torelli, M Ballin, M D’Orazio, M di Zio, M Scanu, G Corsetti Insights on Data Integration Methodologies, 68, 2009 | 13 | 2009 |
| The effect of classification errors in survival data analysis A Paggiaro, N Torelli Statistical Methods and Applications 13, 213-225, 2004 | 11 | 2004 |
| Comparing goal-based and result-based approaches in modelling football outcomes L Egidi, N Torelli Social Indicators Research 156 (2), 801-813, 2021 | 10 | 2021 |
Roberta PappadàDepartment of Economics, Business, Mathematics and Statistics (DEAMS) University of TriesteE-mail megerősítve itt: units.it
