Giovanna Menardi 个人学术档案

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引用	1833	1450
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Nicola TorelliProfessore di Statistica, università di Trieste在 econ.units.it 的电子邮件经过验证
Nicola LunardonRicercatore in Statistica, Università degli Studi di Milano-Bicocca在 unimib.it 的电子邮件经过验证
Alessandro CasaAssistant Professor of Statistics at University of Bergamo在 unibg.it 的电子邮件经过验证
Livio FinosFull Professor of Statistics, University of Padova在 unipd.it 的电子邮件经过验证
Federico FerraccioliDepartment of Statistical Sciences, University of Padova在 unipd.it 的电子邮件经过验证
Tommaso DorigoFirst Researcher, INFN - Sezione di Padova在 pd.infn.it 的电子邮件经过验证
Charles BouveyronProfessor of Statistics & AI, Director of Institut 3IA Côte d'Azur, Inria, Université Côte d'Azur在 inria.fr 的电子邮件经过验证
Elena A. EroshevaUniversity of Washington在 uw.edu 的电子邮件经过验证
Domenico De StefanoDepartment of Political and Social Sciences, University of Trieste在 units.it 的电子邮件经过验证
Luca ScruccaAssociate Professor of Statistics, University of Perugia, Italy在 unipg.it 的电子邮件经过验证
JE ChacónProfessor of Statistics, Departamento de Matemáticas, Universidad de Extremadura (Spain)在 unex.es 的电子邮件经过验证
Alessandra R. BrazzaleDepartment of Statistics @ University of Padova在 unipd.it 的电子邮件经过验证
Federico TedeschiUniversità di Verona在 univr.it 的电子邮件经过验证
Francesco PauliResearcher in Statistics在 deams.units.it 的电子邮件经过验证
Pablo de CastroINFN - Sezione di Padova在 pd.infn.it 的电子邮件经过验证

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Giovanna Menardi

Department of Statistical Science, University of Padua

在 stat.unipd.it 的电子邮件经过验证 - 首页

clustering classification dimension reduction methods


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
Training and assessing classification rules with unbalanced data G Menardi, N Torelli Data Mining and Knowledge Discovery, 2012	796	2012
ROSE: a package for binary imbalanced learning. N Lunardon, G Menardi, N Torelli R journal 6 (1), 2014	518	2014
Clustering via Nonparametric Density Estimation: The R Package pdfCluster A Azzalini, G Menardi Journal of Statistical Software 57 (11), 2014	91	2014
An advancement in clustering via nonparametric density estimation G Menardi, A Azzalini Statistics and Computing 24, 753-767, 2014	74	2014
Density-based Silhouette diagnostics for clustering methods G Menardi Statistics and Computing 21, 295-308, 2011	63	2011
A review on modal clustering G Menardi International Statistical Review 84 (3), 413-433, 2016	59	2016
Nonparametric semisupervised classification for signal detection in high energy physics A Casa, G Menardi arXiv preprint arXiv:1809.02977, 2018	33	2018
Hemisphere mixing: a fully data-driven model of QCD multijet backgrounds for LHC searches P Manzano, M Dall'Osso, T Dorigo, L Finos, G Kotkowski, G Menardi, ... arXiv preprint arXiv:1712.02538, 2017	20	2017
ROSE: Random over-sampling examples N Lunardon, G Menardi, N Torelli ROSE-Package, Version 0.0-3, License GPL-2, CRAN, 2014	20	2014
ROSE: A Package for Binary Imbalanced Learning. RJ (2014) 6: 79–89. doi: 10.32614 N Lunardon, G Menardi, N Torelli RJ-2014-008, 0	17
R Package pdfCluster: Cluster Analysis via Nonparametric Density Estimation (Version 1.0-0) A Azzalini, G Menardi, T Rosolin Universita di Padova, Italia. URL http://cran. r-project. org/web/packages …, 2011	15*	2011
Co-clustering of time-dependent data via the shape invariant model A Casa, C Bouveyron, E Erosheva, G Menardi Journal of Classification 38, 626-649, 2021	13	2021
Double clustering for rating mutual funds G Menardi, F Lisi Electronic Journal of Applied Statistical Analysis 8 (1), 44-56, 2015	13	2015
Nonparametric clustering for image segmentation G Menardi Statistical Analysis and Data Mining: The ASA Data Science Journal 13 (1), 83-97, 2020	9	2020
Modal clustering asymptotics with applications to bandwidth selection A Casa, JE Chacón, G Menardi	9	2020
R Package'ROSE': Random Over-Sampling Examples N Lunardon, G Menardi, N Torelli	7	2013
Density-based clustering with non-continuous data A Azzalini, G Menardi Computational Statistics 31, 771-798, 2016	6	2016
Are performance measures equally stable? G Menardi, F Lisi Annals of Finance 8, 553-570, 2012	6	2012
Modeling the compressive strength of metakaolin-based geopolymers based on the statistical analysis of experimental data M Muracchioli, G Menardi, M D'Agostini, G Franchin, P Colombo Applied Clay Science 242, 107020, 2023	5	2023
Density-based clustering of social networks G Menardi, D De Stefano Journal of the Royal Statistical Society Series A: Statistics in Society 185 …, 2022	5	2022

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