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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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24 February 2020

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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

Students under supervision

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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
2017

Talks, invited

V. Naumova

Image separation using multi-penalty regularization

In CEA Saclay, France, 2017.
Status: Published
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

Talks, contributed

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

Nearly Optimal Parameter selection for the Elastic Net

In Hangzhou, China, 2017.
Status: Published
2016

Talks, invited

V. Naumova

Innovative solution of unmixing problems by means of multi-penalty regularization: theoretical and algorithmical aspects

In University of Graz, 2016.
Status: Published
V. Naumova

Dictionary Learning from Incomplete Data

In 2016 SIAM Conference on Imaging Science, 2016.
Status: Published
V. Naumova

From Big Data to Big Insights

In EUMLS Final Conference, 2016.
Status: Published
2014

Talks, invited

V. Naumova

Meta-Learning Approach to the Image Denoising Problem

In SIAM Conference on Imaging Science, 2014.
Status: Published