Primary tabs

Most recent publications

E. De Vito, Z. Kereta, V. Naumova, L. Rosasco and S. Vigogna

Monte Carlo wavelets: a randomized approach to frame discretization

In Sampling Theory and Applications. IEEE, 2019.
Proceedings, refereed
2019
View
Z. Kereta, T. Klock and V. Naumova

Nonlinear generalization of the monotone single index model

Information and Inference (2019).
Journal Article
2019
View
P. M. Florvaag, V. Naumova and K. Valen-Sendstad

Automated and objective segmentation of medical image using machine learning techniques: all models are wrong, but some are useful

In Computational and Mathematical Biomedical Engineering. Sendai, Japan: CMBE, 2019.
Proceedings, refereed
2019
View
M. Grasmair, T. Klock and V. Naumova

Adaptive multi-penalty regularization based on a generalized Lasso path

Applied and Computational Harmonic Analysis (2018).
Journal Article
2018
View

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
View
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
View
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
View

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

Find publication

Status

Departments

Publication type

Year published

Export 41 results:
2019

Journal articles

Z. Kereta, T. Klock and V. Naumova

Nonlinear generalization of the monotone single index model

Information and Inference (2019).
Status: Published

Proceedings, refereed

E. De Vito, Z. Kereta, V. Naumova, L. Rosasco and S. Vigogna

Monte Carlo wavelets: a randomized approach to frame discretization

In Sampling Theory and Applications. IEEE, 2019.
Status: Published
P. M. Florvaag, V. Naumova and K. Valen-Sendstad

Automated and objective segmentation of medical image using machine learning techniques: all models are wrong, but some are useful

In Computational and Mathematical Biomedical Engineering. Sendai, Japan: CMBE, 2019.
Status: Published

Posters

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

Unsupervised Parameter Selection in Variational Regularization

SPARS 2019, Toulouse, France, 2019.
Status: Published
Z. Kereta, V. Naumova and J. Maly

Linear convergence and support recovery for non-convex multi-penalty regularization

SPARS 2019, Toulouse, France, 2019.
Status: Published

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

Journal articles

M. Grasmair, T. Klock and V. Naumova

Adaptive multi-penalty regularization based on a generalized Lasso path

Applied and Computational Harmonic Analysis (2018).
Status: Published
V. Naumova and K. Schnass

Fast Dictionary Learning from Incomplete Data

EURASIP Journal on Advances in Signal Processing 2018, no. 1 (2018): 12.
Status: Published

Posters

Z. Kereta, T. Klock and V. Naumova

High-dimensional function learning on curves

Cambridge, UK, 2018.
Status: Published
2017

Proceedings, refereed

V. Naumova and K. Schnass

Dictionary Learning from Incomplete Data for Efficient Image Restoration

In 2017 25th European Signal Processing Conference (EUSIPCO). IEEE, 2017.
Status: Published