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Selected publications

V. Naumova

Numerical Methods for Diabetes Technology

In Mathematical Algorithms for a Better Management of Type 1 Diabetes. Germany: LAP LAMBERT Academic Publishing, 2012.
Book
2012
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V. Naumova and S. Peter

Minimization of Multi-Penalty Functionals by Alternating Iterative Thresholding and Optimal Parameter Choices

Inverse Problems 30 (2014): 1-35.
Journal Article
2014
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V. Naumova, S. V. Pereverzyev and S. Sampath

A meta-learning approach to the regularized learning—Case study: Blood glucose prediction

Neural Networks 33 (2012): 181-193.
Journal Article
2012
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News

16 July 2022

New book in the SpringerBriefs series: Smittestopp − A Case Study on Digital Contact Tracing

Background

PhD in Natural Sciences (Applied Mathematics)
Johannes Kepler University Linz and Johann Radon Institute for Computational and Applied Mathematics, Austrian Academy of Sciences
December 2012

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2019

Talks, contributed

P. M. Florvaag, V. Strøm, C. Glinge, R. Jabbari, N. Vejlstrup, T. Engstrom, K. A. Ahtarovski, T. Jespersen, J. Tfelt-Hansen, V. Naumova et al.

A Combined In-Silico and Machine Learning Approach towards Predicting Arrhythmic Risk in Post-Infarction Patients

In Computing in Cardiology, Singapore, 2019.
Status: Published
2018

Talks, contributed

Z. Kereta, T. Klock and V. Naumova

Nonlinear estimation of single index models

In Nonlinear Data: Theory and Algorithms Oberwolfach, 2018.
Status: Published
2017

Talks, contributed

E. De Vito, Z. Kereta and V. Naumova

Nearly Optimal Parameter selection for the Elastic Net

In Hangzhou, China, 2017.
Status: Published