Sergei V. Pereverzyev

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Direct Estimation of Linear Functionals from Indirect Noisy Observations

Peter Mathé, Sergei V. Pereverzyev, P. Mathé, 2002, J. Complex..

Self–regularization by projection for noisy pseudodifferential equations of negative order

Reinhold Schneider, Helmut Harbrecht, Sergei V. Pereverzyev, 2003, Numerische Mathematik.

Adaptive parameter choice for one-sided finite difference schemes and its application in diabetes technology

Sergei V. Pereverzyev, Valeriya Naumova, Sivananthan Sivananthan, 2012, J. Complex..

On Optimization of Direct Methods of Solving Weakly Singular Integral Equations

Sergei V. Pereverzyev, Sergei G. Solodky, 1993, J. Complex..

Discretized Tikhonov regularization for Robin boundaries localization

Sergei V. Pereverzyev, Hui Cao, Eva Sincich, 2014, Appl. Math. Comput..

Regularized Total Least Squares: Computational Aspects and Error Bounds

Shuai Lu, Sergei V. Pereverzyev, Ulrich Tautenhahn, 2009, SIAM J. Matrix Anal. Appl..

Adaptive Kernel Methods Using the Balancing Principle

Lorenzo Rosasco, Ernesto De Vito, Sergei V. Pereverzyev, 2010, Found. Comput. Math..

Numerical differentiation from a viewpoint of regularization theory

Shuai Lu, Sergei V. Pereverzyev, Shuai Lu, 2006, Math. Comput..

Information complexity of equations of the second kind with compact operators in Hilbert space

Sergei V. Pereverzyev, Cosnazar C. Scharipov, 1992, J. Complex..

Optimization of Methods for Approximate Solution of Operator Equations

Sergei V. Pereverzyev, 1996 .

Optimal Discretization of Inverse Problems in Hilbert Scales. Regularization and Self-Regularization of Projection Methods

Peter Mathé, Sergei V. Pereverzyev, P. Mathé, 2000, SIAM J. Numer. Anal..

Prediction of nocturnal hypoglycemia by an aggregation of previously known prediction approaches: proof of concept for clinical application

Oleg Chertov, Sergei V. Pereverzyev, Galyna Kriukova, 2016, Comput. Methods Programs Biomed..

Brakhage's Implicit Iteration Method and the Information Complexity of Equations with Operators Having Closed Range

Sergei V. Pereverzyev, Eberhard Schock, 1999, J. Complex..

Parameter Choice Strategies for Least-squares Approximation of Noisy Smooth Functions on the Sphere

Ian H. Sloan, Sergei V. Pereverzyev, Pavlo Tkachenko, 2015, SIAM J. Numer. Anal..

The discretized discrepancy principle under general source conditions

Peter Mathé, Sergei V. Pereverzyev, P. Mathé, 2006, J. Complex..

Sparse recovery by the standard Tikhonov method

Shuai Lu, Sergei V. Pereverzyev, Shuai Lu, 2009, Numerische Mathematik.

Meta-Learning Based Blood Glucose Predictor for Diabetic Smartphone App

Sergei V. Pereverzyev, Jens Ulrik Poulsen, Valeriya Naumova, 2016 .

Reading blood glucose from subcutaneous electric current by means of a regularization in variable Reproducing Kernel Hilbert Spaces

Sergei V. Pereverzyev, Valeriya Naumova, Sivananthan Sampath, 2011, IEEE Conference on Decision and Control and European Control Conference.

Regularized collocation method for Fredholm integral equations of the first kind

Sergei V. Pereverzyev, M. Thamban Nair, 2007, J. Complex..

Stable Summation of Orthogonal Series with Noisy Coefficients

Peter Mathé, Sergei V. Pereverzyev, P. Mathé, 2002, J. Approx. Theory.

On the balancing principle for some problems of Numerical Analysis

Shuai Lu, Raytcho D. Lazarov, Sergei V. Pereverzyev, 2007, Numerische Mathematik.

Application of regularized ranking and collaborative filtering in predictive alarm algorithm for nocturnal hypoglycemia prevention

Nadiya Shvai, Sergei V. Pereverzyev, Galyna Kriukova, 2017, 2017 9th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS).

Dagstuhl 2000

Grzegorz W. Wasilkowski, Sergei V. Pereverzyev, 2002, J. Complex..

Information Complexity of Multivariate Fredholm Integral Equations in Sobolev Classes

Karin Frank, Stefan Heinrich, Sergei V. Pereverzyev, 1996, J. Complex..

On regularization algorithms in learning theory

Lorenzo Rosasco, Sergei V. Pereverzyev, Frank Bauer, 2007, J. Complex..

A linear functional strategy for regularized ranking

Oleksandra Panasiuk, Sergei V. Pereverzyev, Galyna Kriukova, 2016, Neural Networks.

Two-parameter regularization of ill-posed spherical pseudo-differential equations in the space of continuous functions

Ian H. Sloan, Sergei V. Pereverzyev, Hui Cao, 2015, Appl. Math. Comput..

Data-Driven and Problem-Oriented Multiple-Kernel Learning

Sergei V. Pereverzyev, Valeriya Naumova, Johann Radon, 2013 .

The use of higher order finite difference schemes is not dangerous

Peter Mathé, Sergei V. Pereverzyev, P. Mathé, 2009, J. Complex..

A meta-learning approach to the regularized learning - Case study: Blood glucose prediction

Sergei V. Pereverzyev, Valeriya Naumova, Sivananthan Sivananthan, 2012, Neural Networks.

Filtered Legendre expansion method for numerical differentiation at the boundary point with application to blood glucose predictions

Hrushikesh Narhar Mhaskar, Sergei V. Pereverzyev, Valeriya Naumova, 2013, Appl. Math. Comput..

Data Based Construction of Kernels for Semi-Supervised Learning With Less Labels

Sergei V. Pereverzyev, Hrushikesh Mhaskar, E. V. Semenova, 2019, Front. Appl. Math. Stat..

Data Based Construction of Kernels for Classification

Hrushikesh N. Mhaskar, Sergei V. Pereverzyev, E. V. Semenova, 2020 .

The Minimal Radius of Galerkin Information for the Fredholm Problem of the First Kind

Sergei V. Pereverzyev, Sergei G. Solodky, 1996, J. Complex..

An adaptive discretization for Tikhonov-Phillips regularization with a posteriori parameter selection

Ronny Ramlau, Sergei V. Pereverzyev, Peter Maass, 2001, Numerische Mathematik.

Parameter Choice Strategies for Multipenalty Regularization

Massimo Fornasier, Sergei V. Pereverzyev, Valeriya Naumova, 2014, SIAM J. Numer. Anal..

On the Adaptive Selection of the Parameter in Regularization of Ill-Posed Problems

Sergei V. Pereverzyev, Eberhard Schock, E. Schock, 2005, SIAM J. Numer. Anal..

Regularization of some linear ill-posed problems with discretized random noisy data

Peter Mathé, Sergei V. Pereverzyev, P. Mathé, 2006, Math. Comput..

Multi-parameter regularization and its numerical realization

Shuai Lu, Sergei V. Pereverzyev, Shuai Lu, 2011, Numerische Mathematik.

Complexity of linear ill-posed problems in Hilbert space

Peter Mathé, Sergei V. Pereverzyev, P. Mathé, 2017, J. Complex..

On the convergence rate and some applications of regularized ranking algorithms

Sergei V. Pereverzyev, Galyna Kriukova, Pavlo Tkachenko, 2016, J. Complex..

Pointwise Computation in an Ill-Posed Spherical Pseudo-Differential Equation

Sergei V. Pereverzyev, Pavlo Tkachenko, 2015, Comput. Methods Appl. Math..

A Deep Learning Approach to Diabetic Blood Glucose Prediction pdf

Hrushikesh N. Mhaskar, Sergei V. Pereverzyev, M. D. van der Walt, 2017, Front. Appl. Math. Stat..

Regularized collocation for spherical harmonics gravitational field modeling

Sergei V. Pereverzyev, Valeriya Naumova, Pavlo Tkachenko, 2014 .