Valeriya Naumova - Concepedia

Author

Valeriya Naumova

Johann Radon Institute for Computational and Applied Mathematics

Also Known As

Naumova V., Naumova, Valeriya, V Naumova, V. Naumova, Valeriya Naumova

Publications

380

Citations

H-Index

Concepts

All Affiliations

Johann Radon Institute for Computational and Applied Mathematics Simula Research Laboratory Austrian Academy of Sciences Simula Metropolitan Center for Digital Engineering Universität Innsbruck

About

Valeriya Naumova is an author at Johann Radon Institute for Computational and Applied Mathematics specializing in engineering, inverse problems, and machine learning.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	6	6	147
2	Biostatistics	3	3	86
3	Data Science	3	3	83
4	Public Health	2	2	35
5	Health Sciences	1	1	10

Valeriya Naumova

Publications

310

Citations

H-Index

Page 1

	Year	Citations
A meta-learning approach to the regularized learning—Case study: Blood glucose prediction Valeriya Naumova, Sergei V. Pereverzyev, S. Sivananthan Neural Networks Meta-learning ApproachEngineeringMachine LearningData ScienceMeta-learning	2012	62
Nationwide rollout reveals efficacy of epidemic control through digital contact tracing Ahmed Elmokashfi, Joakim Sundnes, Amund Kvalbein, Nature Communications	2021	45
Assessment of Blood Glucose Predictors: The Prediction-Error Grid Analysis S. Sivananthan, Valeriya Naumova, Chiara Dalla Man, Diabetes Technology & Therapeutics	2011	35
Parameter Choice Strategies for Multipenalty Regularization Massimo Fornasier, Valeriya Naumova, Sergei V. Pereverzyev SIAM Journal on Numerical Analysis	2014	31
Multi-penalty regularization with a component-wise penalization Valeriya Naumova, Sergei V. Pereverzyev Inverse Problems Mathematical ProgrammingNumerical AnalysisEngineeringMachine LearningVariational Analysis	2013	27
Legendre polynomials as a recommended basis for numerical differentiation in the presence of stochastic white noise Shuai Lu, Valeriya Naumova, Sergei V. Pereverzev Journal of Inverse and Ill-Posed Problems Numerical AnalysisSpectral TheoryLegendre PolynomialsEngineeringStochastic Analysis	2012	24
Combined In-silico and Machine Learning Approaches Toward Predicting Arrhythmic Risk in Post-infarction Patients Mary M. Maleckar, Lena Myklebust, Julie Uv, Frontiers in Physiology	2021	18
Filtered Legendre expansion method for numerical differentiation at the boundary point with application to blood glucose predictions H. N. Mhaskar, Valeriya Naumova, Sergei V. Pereverzyev Applied Mathematics and Computation Numerical AnalysisEngineeringNumerical DifferentiationBlood Glucose MonitoringBiostatistics	2013	13
Fast dictionary learning from incomplete data Valeriya Naumova, Karin Schnass EURASIP Journal on Advances in Signal Processing	2018	12
Towards a data-driven system for personalized cervical cancer risk stratification Geir Severin R. E. Langberg, Jan F. Nygård, Vinay Chakravarthi Gogineni, Scientific Reports	2022	12

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