Valeria Vitelli
Valeria Vitelli
Associate Professor, Department of Biostatistics, University of Oslo, Norway
Email verificata su - Home page
TitoloCitata daAnno
K-mean alignment for curve clustering
LM Sangalli, P Secchi, S Vantini, V Vitelli
Computational Statistics & Data Analysis 54 (5), 1219-1233, 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) 62á…, 2013
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, ELP Droguett, CMC Jacinto
Expert Systems with Applications 40 (4), 1205-1212, 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
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
Molecular features of subtype-specific progression from ductal carcinoma in situ to invasive breast cancer
R Lesurf, MR Aure, HH M°rk, V Vitelli, T Sauer, J Geisler, S Hofvind, ...
Cell reports 16 (4), 1166-1179, 2016
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 (2), 279-300, 2015
Functional clustering and alignment methods with applications
LM Sangalli, P Secchi, S Vantini, V Vitelli
Communications in Applied and Industrial Mathematics 1 (1), 205-224, 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 statisticsá…, 2015
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
Integrative clustering reveals a novel split in the luminal A subtype of breast cancer with impact on outcome
MR Aure, V Vitelli, S Jernstr÷m, S Kumar, M Krohn, EU Due, TH Haukaas, ...
Breast Cancer Research 19 (1), 44, 2017
A cumulative genetic risk score predicts progression in P arkinson's disease
L Pihlstr°m, KR Morset, E Grimstad, V Vitelli, M Toft
Movement Disorders 31 (4), 487-490, 2016
Probabilistic preference learning with the Mallows rank model.
V Vitelli, ě S°rensen, M Crispino, A Frigessi, E Arjas
Journal of Machine Learning Research 18, 158:1-158:49, 2017
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
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
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
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
A genetic algorithm and neural network technique for predicting wind power under uncertainty
R Aka, YF Lia, V Vitellia, E Zio
Chemical Engineering 33, 1-6, 2013
Oslo Breast Cancer Research Consortium (OSBREAC), Lundgren S, et al
R Lesurf, MR Aure, HH M°rk, V Vitelli
Molecular features of subtype-specific progression from ductal carcinoma iná…, 2016
Multi-objective genetic algorithm optimization of a neural network for estimating wind speed prediction intervals
R Ak, YF Li, V Vitelli, E Zio
Il sistema al momento non pu˛ eseguire l'operazione. Riprova pi¨ tardi.
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