Valeria Vitelli

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Citations	1552	1077
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Simone VantiniAssociate Professor of Statistics, MOX - Department of Mathematics, Politecnico di MilanoVerified email at polimi.it
Piercesare SecchiProfessor of StatisticsVerified email at polimi.it
Enrico ZioProfessor Mines Paris/PSL and Politecnico di. MilanoVerified email at mines-paristech.fr
Laura Maria SangalliMOX - Dipartimento di Matematica, Politecnico di MilanoVerified email at polimi.it
Ronay AkNational Institute of Standards and TechnologyVerified email at nist.gov
Arnoldo FrigessiUniversity of OsloVerified email at medisin.uio.no
Jie LiuAssociate Professor, Beihang UniversityVerified email at buaa.edu.cn
Francesca IevaAssociate Professor, MOX - Department of Mathematics, Politecnico di MilanoVerified email at polimi.it
Anna Maria PaganoniProfessore di Statistica, Politecnico di Milano, ItalyVerified email at polimi.it
Elja ArjasEmeritus Professor of Biometry, University of HelsinkiVerified email at helsinki.fi
Marta CrispinoBank of ItalyVerified email at bocconialumni.it
Yan-Fu LiProfessor, Tsinghua University, ChinaVerified email at tsinghua.edu.cn
Davide PigoliDepartment of Mathematics, King's College LondonVerified email at kcl.ac.uk
Øystein SørensenCentre for Lifespan Changes in Brain and Cognition, Department of Psychology, University of OsloVerified email at psykologi.uio.no
paolo tagliolatoIREA CNRVerified email at irea.cnr.it
Fabio ManfrediniDipartimento di Architettura e Studi Urbani, Politecnico di MilanoVerified email at polimi.it
Mazyar Yazdani, Ph.D.Senior Scientist at Oslo University Hospital – Rikshospitalet, Oslo, NorwayVerified email at ous-hf.no
Christian PageNorwegian Institute of Public HealthVerified email at fhi.no
Eric Westman, ProfessorDivision of Clinical Geriatrics, Karolinska InstitutetVerified email at ki.se
Andrew SimmonsKing's College London, Institute of PsychiatryVerified email at kcl.ac.uk

Valeria Vitelli

Associate Professor, Department of Biostatistics, University of Oslo, Norway

Verified email at medisin.uio.no - Homepage

preference learning functional data analysis clustering high-dimensional data genomics


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
K-mean alignment for curve clustering LM Sangalli, P Secchi, S Vantini, V Vitelli Computational Statistics & Data Analysis 54 (5), 1219-1233, 2010	177	2010
Multivariate functional clustering for the morphological analysis of electrocardiograph curves F Ieva, AM Paganoni, D Pigoli, V Vitelli Journal of the Royal Statistical Society: Series C (Applied Statistics) 62 …, 2013	113*	2013
Nuclear power plant components condition monitoring by probabilistic support vector machine J Liu, R Seraoui, V Vitelli, E Zio Annals of Nuclear Energy 56, 23-33, 2013	89	2013
Integrative clustering reveals a novel split in the luminal A subtype of breast cancer with impact on outcome MR Aure, V Vitelli, S Jernström, S Kumar, M Krohn, EU Due, TH Haukaas, ... Breast Cancer Research 19, 1-18, 2017	87	2017
Molecular features of subtype-specific progression from ductal carcinoma in situ to invasive breast cancer R Lesurf, MR Aure, HH Mørk, V Vitelli, T Sauer, J Geisler, S Hofvind, ... Cell reports 16 (4), 1166-1179, 2016	87	2016
The Evans’ Index revisited: new cut-off levels for use in radiological assessment of ventricular enlargement in the elderly MK Brix, E Westman, A Simmons, GA Ringstad, PK Eide, ... European journal of radiology 95, 28-32, 2017	86	2017
An interval-valued neural network approach for uncertainty quantification in short-term wind speed prediction R Ak, V Vitelli, E Zio IEEE transactions on neural networks and learning systems 26 (11), 2787-2800, 2015	80	2015
NSGA-II-trained neural network approach to the estimation of prediction intervals of scale deposition rate in oil & gas equipment R Ak, Y Li, V Vitelli, E Zio, EL Droguett, CMC Jacinto Expert Systems with Applications 40 (4), 1205-1212, 2013	69	2013
A novel dynamic-weighted probabilistic support vector regression-based ensemble for prognostics of time series data J Liu, V Vitelli, E Zio, R Seraoui IEEE Transactions on Reliability 64 (4), 1203-1213, 2015	65	2015
Probabilistic preference learning with the Mallows rank model V Vitelli, Ø Sørensen, M Crispino, A Frigessi Di Rattalma, E Arjas Journal of Machine Learning Research 18 (158), 1-49, 2018	64	2018
Adequacy assessment of a wind-integrated system using neural network-based interval predictions of wind power generation and load R Ak, YF Li, V Vitelli, E Zio International Journal of Electrical Power & Energy Systems 95, 213-226, 2018	49	2018
A cumulative genetic risk score predicts progression in P arkinson's disease L Pihlstrøm, KR Morset, E Grimstad, V Vitelli, M Toft Movement Disorders 31 (4), 487-490, 2016	47	2016
Bagging Voronoi classifiers for clustering spatial functional data P Secchi, S Vantini, V Vitelli International journal of applied earth observation and geoinformation 22, 53-64, 2013	47	2013
Analysis of spatio-temporal mobile phone data: a case study in the metropolitan area of Milan P Secchi, S Vantini, V Vitelli Statistical Methods & Applications 24, 279-300, 2015	46	2015
Functional clustering and alignment methods with applications V Vitelli, LM Sangalli, P Secchi, S Vantini Communications in Applied and Industrial Mathematics 1 (1), 205-224, 2010	42	2010
Treelet decomposition of mobile phone data for deriving city usage and mobility pattern in the Milan urban region F Manfredini, P Pucci, P Secchi, P Tagliolato, S Vantini, V Vitelli Advances in complex data modeling and computational methods in statistics …, 2015	38	2015
Altered neuroendocrine control and association to clinical symptoms in adolescent chronic fatigue syndrome: a cross-sectional study V Bruun Wyller, V Vitelli, D Sulheim, E Fagermoen, A Winger, K Godang, ... Journal of Translational Medicine 14 (121), 2016	31	2016
Utility of tear osmolarity measurement in diagnosis of dry eye disease B Tashbayev, TP Utheim, ØA Utheim, S Ræder, JL Jensen, M Yazdani, ... Scientific reports 10 (1), 5542, 2020	30	2020
Sparse clustering of functional data D Floriello, V Vitelli Journal of Multivariate Analysis 154, 1-18, 2017	25	2017
A genetic algorithm and neural network technique for predicting wind power under uncertainty YFL Ronay Aka, V Vitellia, E Zio Chemical Engineering 33, 2013	25	2013

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