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Most recent publications

E. De Vito, M. Fornasier and V. Naumova

A machine learning approach to optimal Tikhonov regularization I: Affine manifolds

Analysis and Applications (2020).
Journal Article
2020
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M. Grasmair and V. Naumova

Conditions on optimal support recovery in unmixing problems by means of multi-penalty regularization

Inverse Problems 32, no. 10 (2016).
Journal Article
2016
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V. Naumova, L. Nita, J. Poulsen and S. V. Pereverzyev

Meta-Learning Based Blood Glucose Predictor for Diabetic Smartphone App

In Prediction Methods for Blood Glucose Concentration. Lecture Notes in Bioengineering. , 93-105. Aachen (Germany): Springer International Publishing, 2016.
Book Chapter
2016
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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

24 February 2020

Applications open for MLCC2020!

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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2020

Journal articles

E. De Vito, M. Fornasier and V. Naumova

A machine learning approach to optimal Tikhonov regularization I: Affine manifolds

Analysis and Applications (2020).
Status: Accepted
2016

Journal articles

M. Grasmair and V. Naumova

Conditions on optimal support recovery in unmixing problems by means of multi-penalty regularization

Inverse Problems 32, no. 10 (2016).
Status: Published

Book chapters

V. Naumova, L. Nita, J. Poulsen and S. V. Pereverzyev

Meta-Learning Based Blood Glucose Predictor for Diabetic Smartphone App

In Prediction Methods for Blood Glucose Concentration. Lecture Notes in Bioengineering. , 93-105. Aachen (Germany): Springer International Publishing, 2016.
Status: Published

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