| A meta-learning approach to the regularized learning—Case study: Blood glucose prediction V Naumova, SV Pereverzyev, S Sivananthan Neural Networks 33, 181-193, 2012 | 79 | 2012 |
| Assessment of blood glucose predictors: the prediction-error grid analysis S Sivananthan, V Naumova, CD Man, A Facchinetti, E Renard, C Cobelli, ... Diabetes technology & therapeutics 13 (8), 787-796, 2011 | 39 | 2011 |
| Parameter choice strategies for multipenalty regularization M Fornasier, V Naumova, SV Pereverzyev SIAM Journal on Numerical Analysis 52 (4), 1770-1794, 2014 | 34 | 2014 |
| Nationwide rollout reveals efficacy of epidemic control through digital contact tracing A Elmokashfi, J Sundnes, A Kvalbein, V Naumova, SA Reinemo, ... Nature communications 12 (1), 5918, 2021 | 29 | 2021 |
| Multi-penalty regularization with a component-wise penalization V Naumova, SV Pereverzyev Inverse Problems 29 (7), 075002, 2013 | 28 | 2013 |
| Extrapolation in variable RKHSs with application to the blood glucose reading V Naumova, SV Pereverzyev, S Sivananthan Inverse Problems 27 (7), 075010, 2011 | 26 | 2011 |
| Legendre polynomials as a recommended basis for numerical differentiation in the presence of stochastic white noise S Lu, V Naumova, SV Pereverzev Journal of Inverse and Ill-posed Problems 21 (2), 193-216, 2013 | 24 | 2013 |
| Minimization of multi-penalty functionals by alternating iterative thresholding and optimal parameter choices V Naumova, S Peter Inverse Problems 30 (12), 125003, 2014 | 21 | 2014 |
| A machine learning approach to optimal Tikhonov regularization I: affine manifolds E De Vito, M Fornasier, V Naumova Analysis and Applications 20 (02), 353-400, 2022 | 18* | 2022 |
| Dictionary learning from incomplete data for efficient image restoration V Naumova, K Schnass 2017 25th European signal processing conference (EUSIPCO), 1425-1429, 2017 | 15 | 2017 |
| Graph kernel recursive least-squares algorithms VC Gogineni, V Naumova, S Werner, YF Huang 2021 Asia-Pacific Signal and Information Processing Association Annual …, 2021 | 14 | 2021 |
| Filtered Legendre expansion method for numerical differentiation at the boundary point with application to blood glucose predictions HN Mhaskar, V Naumova, SV Pereverzyev Applied Mathematics and Computation 224, 835-847, 2013 | 14 | 2013 |
| Fast dictionary learning from incomplete data V Naumova, K Schnass EURASIP journal on advances in signal processing 2018, 1-21, 2018 | 12 | 2018 |
| Combined In-silico and Machine Learning Approaches Toward Predicting Arrhythmic Risk in Post-infarction Patients MM Maleckar, L Myklebust, J Uv, PM Florvaag, V Strøm, C Glinge, ... Frontiers in Physiology 12, 745349, 2021 | 11 | 2021 |
| Conditions on optimal support recovery in unmixing problems by means of multi-penalty regularization M Grasmair, V Naumova Inverse Problems 32 (10), 104007, 2016 | 11 | 2016 |
| Adaptive multi-penalty regularization based on a generalized lasso path M Grasmair, T Klock, V Naumova Applied and Computational Harmonic Analysis 49 (1), 30-55, 2020 | 10 | 2020 |
| Robust recovery of low-rank matrices with non-orthogonal sparse decomposition from incomplete measurements M Fornasier, J Maly, V Naumova Applied mathematics and computation 392, 125702, 2021 | 8 | 2021 |
| Regularized collocation for spherical harmonics gravitational field modeling V Naumova, SV Pereverzyev, P Tkachenko GEM-International Journal on Geomathematics 5, 81-98, 2014 | 8 | 2014 |
| Data-driven personalized cervical cancer risk prediction: A graph-perspective VC Gogineni, SRE Langberg, V Naumova, JF Nygård, M Nygård, ... 2021 IEEE Statistical Signal Processing Workshop (SSP), 46-50, 2021 | 7 | 2021 |
| Multi-penalty regularization for detecting relevant variables K Hlaváčková-Schindler, V Naumova, S Pereverzyev Recent Applications of Harmonic Analysis to Function Spaces, Differential …, 2017 | 7 | 2017 |
Sergei PereverzevProfessor, Johann Radon Institute for Computational and Applied Mathematics, Austrian Academy ofBestätigte E-Mail-Adresse bei oeaw.ac.at
