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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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2017

Talks, invited

V. Naumova

Image separation using multi-penalty regularization

In CEA Saclay, France, 2017.
Status: Published
V. Naumova

Advanced statistics and data analysis for blood glucose prediction and diabetes

In Universitäres Herzzentrum Hamburg, Germany, 2017.
Status: Accepted
V. Naumova

Innovative solution of unmixing problems by means of multi-penalty regularization

In Applied Inverse Problems, Hangzhou, China, 2017.
Status: Published
V. Naumova

A machine learning approach to optimal regularization: affine manifolds

In International Workshop Dictionary Learning on Manifolds, Nice, France, 2017.
Status: Published
V. Naumova and K. Schnass

Dictionary Learning from Incomplete Data for Efficient Image Restoration

In 2017 European Signal Processing Conference, Kos Island, Greece. EURASIP, 2017.
Status: Published