| 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 | 86 | 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 | 41 | 2011 |
| Optimal rates for the regularized learning algorithms under general source condition A Rastogi, S Sampath Frontiers in Applied Mathematics and Statistics 3, 3, 2017 | 32 | 2017 |
| Glucose predictor based on regularization networks with adaptively chosen kernels and regularization parameters J Randloev, S Mckennoch, S Pereverzyev, S Sampath US Patent 10,307,109, 2019 | 27 | 2019 |
| Extrapolation in variable RKHSs with application to the blood glucose reading V Naumova, SV Pereverzyev, S Sivananthan Inverse Problems 27 (7), 075010, 2011 | 27 | 2011 |
| A diabetes management system empowering patients to reach optimised glucose control: from monitor to advisor JU Poulsen, A Avogaro, F Chauchard, C Cobelli, R Johansson, L Nita, ... 2010 Annual International Conference of the IEEE Engineering in Medicine and …, 2010 | 25 | 2010 |
| Random sampling in reproducing kernel subspaces of Lp (Rn) D Patel, S Sampath Journal of Mathematical Analysis and Applications 491 (1), 124270, 2020 | 24 | 2020 |
| Glycemic Control Indices and Their Aggregation in the Prediction of Nocturnal Hypoglycemia From Intermittent Blood Glucose Measurements S Sampath, P Tkachenko, E Renard, SV Pereverzev Journal of Diabetes Science and Technology 10 (6), 1245-1250, 2016 | 23 | 2016 |
| Multi-penalty regularization in learning theory A Rastogi, S Sivananthan Journal of Complexity 36, 141-165, 2016 | 23* | 2016 |
| Non-uniform sampling problem. SH Kulkarni, R Radha, S Sivananthan Journal of Applied Functional Analysis 4 (1), 2009 | 14 | 2009 |
| Random sampling and reconstruction in reproducing kernel subspace of mixed Lebesgue spaces P Goyal, D Patel, S Sivananthan Mathematical Methods in the Applied Sciences 46 (5), 5119-5138, 2023 | 11 | 2023 |
| Local reconstruction of a function from a non-uniform sampled data R Radha, S Sivananthan Applied Numerical Mathematics 59 (2), 393-403, 2009 | 11 | 2009 |
| Sampling and reconstruction in a shift invariant space with multiple generators R Radha, K Sarvesh, S Sivananthan Numerical Functional Analysis and Optimization 40 (4), 365-385, 2019 | 10 | 2019 |
| Sampling and average sampling in quasi shift-invariant spaces A Kumar, S Sampath Numerical Functional Analysis and Optimization 41 (10), 1246-1271, 2020 | 9 | 2020 |
| Sampling and reconstruction in reproducing kernel subspaces of mixed Lebesgue spaces A Kumar, D Patel, S Sampath Journal of Pseudo-Differential Operators and Applications 11 (2), 843-868, 2020 | 9 | 2020 |
| Average sampling and reconstruction in shift-invariant spaces and variable bandwidth spaces A Kumar, S Sampath Applicable Analysis 99 (4), 672-699, 2020 | 9 | 2020 |
| Multiparameter regularization for construction of extrapolating estimators in statistical learning theory S Lu, S Pereverzyev, S Sampath Multiscale Signal Analysis and Modeling, 347-366, 2013 | 9 | 2013 |
| Adaptive parameter choice for one-sided finite difference schemes and its application in diabetes technology V Naumova, SV Pereverzyev, S Sivananthan Journal of Complexity 28 (5), 524-538, 2012 | 6 | 2012 |
| Reading blood glucose from subcutaneous electric current by means of a regularization in variable Reproducing Kernel Hilbert Spaces V Naumova, SV Pereverzyev, S Sampath 2011 50th IEEE Conference on Decision and Control and European Control …, 2011 | 6 | 2011 |
| Manifold regularization based on Nyström type subsampling A Rastogi, S Sivananthan Applied and Computational Harmonic Analysis 49, 152-179, 2020 | 5 | 2020 |
Sergei PereverzevProfessor, Johann Radon Institute for Computational and Applied Mathematics, Austrian Academy ofE-mail confirmado em oeaw.ac.at
