Paola Zuccolotto
Paola Zuccolotto
Professor of Statistics, University of Brescia
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Citata da
Citata da
A bias correction algorithm for the Gini variable importance measure in classification trees
M Sandri, P Zuccolotto
Journal of Computational and Graphical Statistics 17 (3), 611-628, 2008
Variable selection using random forests
M Sandri, P Zuccolotto
Data analysis, classification and the forward search, 263-270, 2006
Sensory analysis in the food industry as a tool for marketing decisions
M Iannario, M Manisera, D Piccolo, P Zuccolotto
Advances in Data Analysis and classification 6 (4), 303-321, 2012
Pricing strategies for Italian red wine
E Brentari, R Levaggi, P Zuccolotto
Food Quality and Preference 22 (8), 725-732, 2011
A tail dependence-based dissimilarity measure for financial time series clustering
G De Luca, P Zuccolotto
Advances in Data Analysis and Classification 5 (4), 323-340, 2011
Modeling “don’t know” responses in rating scales
M Manisera, P Zuccolotto
Pattern Recognition Letters 45, 226-234, 2014
Ripening transcriptomic program in red and white grapevine varieties correlates with berry skin anthocyanin accumulation
M Massonnet, M Fasoli, GB Tornielli, M Altieri, M Sandri, P Zuccolotto, ...
Plant Physiology 174 (4), 2376-2396, 2017
Modeling rating data with nonlinear CUB models
M Manisera, P Zuccolotto
Computational Statistics & Data Analysis 78, 100-118, 2014
Analysis and correction of bias in total decrease in node impurity measures for tree-based algorithms
M Sandri, P Zuccolotto
Statistics and Computing 20 (4), 393-407, 2010
Grapevine field experiments reveal the contribution of genotype, the influence of environment and the effect of their interaction (G× E) on the berry transcriptome
S Dal Santo, S Zenoni, M Sandri, G De Lorenzis, G Magris, E De Paoli, ...
The Plant Journal 93 (6), 1143-1159, 2018
Regime-switching Pareto distributions for ACD models
G De Luca, P Zuccolotto
Computational Statistics & Data Analysis 51 (4), 2179-2191, 2006
Discovering the drivers of football match outcomes with data mining
M Carpita, M Sandri, A Simonetto, P Zuccolotto
Quality Technology & Quantitative Management 12 (4), 561-577, 2015
Big data analytics for modeling scoring probability in basketball: The effect of shooting under high-pressure conditions
P Zuccolotto, M Manisera, M Sandri
International journal of sports science & coaching 13 (4), 569-589, 2018
A novel tool for predicting extracapsular extension during graded partial nerve sparing in radical prostatectomy
VR Patel, M Sandri, AAC Grasso, E De Lorenzis, F Palmisano, G Albo, ...
Bju International 121 (3), 373-382, 2018
Dynamic tail dependence clustering of financial time series
G De Luca, P Zuccolotto
Statistical Papers 58 (3), 641-657, 2017
Football mining with R
M Carpita, M Sandri, A Simonetto, P Zuccolotto
Data Mining Applications with R, 397-433, 2013
Principal component analysis with interval imputed missing values
P Zuccolotto
AStA Advances in Statistical Analysis 96 (1), 1-23, 2012
Modelling the dynamic pattern of surface area in basketball and its effects on team performance
R Metulini, M Manisera, P Zuccolotto
Journal of Quantitative Analysis in Sports 14 (3), 117-130, 2018
Space-time analysis of movements in basketball using sensor data
R Metulini, M Manisera, P Zuccolotto
arXiv preprint arXiv:1707.00883, 2017
Mining the drivers of job satisfaction using algorithmic variable importance measures
M Carpita, P Zuccolotto
Metodi, modelli, e tecnologie dell’informazione a supporto delle decisioni 1 …, 2007
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