| On regularization algorithms in learning theory F Bauer, S Pereverzev, L Rosasco Journal of complexity 23 (1), 52-72, 2007 | 367 | 2007 |
| Geometry of linear ill-posed problems in variable Hilbert scales P Mathé, SV Pereverzev Inverse problems 19 (3), 789, 2003 | 363 | 2003 |
| Quantum oscillations between two weakly coupled reservoirs of superfluid 3He SV Pereverzev, A Loshak, S Backhaus, JC Davis, RE Packard Nature 388 (6641), 449-451, 1997 | 275 | 1997 |
| Ultrasensitive hot-electron nanobolometers for terahertz astrophysics J Wei, D Olaya, BS Karasik, SV Pereverzev, AV Sergeev, ME Gershenson Nature nanotechnology 3 (8), 496-500, 2008 | 258 | 2008 |
| On the adaptive selection of the parameter in regularization of ill-posed problems S Pereverzev, E Schock SIAM Journal on Numerical Analysis 43 (5), 2060-2076, 2005 | 243 | 2005 |
| A deep learning approach to diabetic blood glucose prediction HN Mhaskar, SV Pereverzyev, MD Van der Walt Frontiers in applied mathematics and statistics 3, 14, 2017 | 161 | 2017 |
| Regularization theory for ill-posed problems: selected topics S Lu, SV Pereverzev Walter de Gruyter, 2013 | 149 | 2013 |
| Regularization of some linear ill-posed problems with discretized random noisy data P Mathé, S Pereverzev Mathematics of Computation 75 (256), 1913-1929, 2006 | 130 | 2006 |
| Adaptive estimation of linear functionals in Hilbert scales from indirect white noise observations A Goldenshluger, SV Pereverzev Probability Theory and Related Fields 118 (2), 169-186, 2000 | 119 | 2000 |
| Regularization in Hilbert scales under general smoothing conditions MT Nair, SV Pereverzev, U Tautenhahn Inverse Problems 21 (6), 1851, 2005 | 118 | 2005 |
| Discretization strategy for linear ill-posed problems in variable Hilbert scales P Mathé, SV Pereverzev Inverse Problems 19 (6), 1263, 2003 | 115 | 2003 |
| Optimal discretization of inverse problems in Hilbert scales. Regularization and self-regularization of projection methods P Mathé, SV Pereverzev SIAM Journal on Numerical Analysis 38 (6), 1999-2021, 2001 | 107 | 2001 |
| Numerical differentiation from a viewpoint of regularization theory S Lu, S Pereverzev Mathematics of computation 75 (256), 1853-1870, 2006 | 103 | 2006 |
| Multi-parameter regularization and its numerical realization S Lu, SV Pereverzev Numerische Mathematik 118, 1-31, 2011 | 102 | 2011 |
| Discovery of a metastable π-state in a superfluid 3He weak link S Backhaus, S Pereverzev, RW Simmonds, A Loshak, JC Davis, ... Nature 392 (6677), 687-690, 1998 | 95 | 1998 |
| Direct measurement of the current-phase relation of a superfluid 3He-B weak link S Backhaus, SV Pereverzev, A Loshak, JC Davis, RE Packard Science 278 (5342), 1435-1438, 1997 | 92 | 1997 |
| 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 |
| Morozov's discrepancy principle for tikhonov S Pereverzev, E Schock Numerical Functional Analysis and Optimization 21 (7-8), 901-916, 2000 | 76 | 2000 |
| Adaptive kernel methods using the balancing principle E De Vito, S Pereverzyev, L Rosasco Foundations of Computational Mathematics 10, 455-479, 2010 | 75 | 2010 |
| A Carleman estimate and the balancing principle in the quasi-reversibility method for solving the Cauchy problem for the Laplace equation H Cao, MV Klibanov, SV Pereverzev Inverse problems 25 (3), 035005, 2009 | 71 | 2009 |
Shuai LuSchool of Mathematical Sciences, Fudan University, Chinafudan.edu.cn üzerinde doğrulanmış e-posta adresine sahip