Vladimir S. Cherkassky

Vladimir S. Cherkassky's AcademicInfluence.com Rankings

Engineering

#6268

World Rank

#7584

Historical Rank

Electrical Engineering

#1841

World Rank

#1943

Historical Rank

engineering Degrees

Vladimir S. Cherkassky

Computer Science

#8213

World Rank

#8635

Historical Rank

Machine Learning

#3298

World Rank

#3337

Historical Rank

Artificial Intelligence

#3602

World Rank

#3653

Historical Rank

Database

#5239

World Rank

#5439

Historical Rank

computer-science Degrees

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Engineering
Computer Science

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Vladimir S. Cherkassky's Published Works

Number of citations in a given year to any of this author's works

Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author

Published Works

The Nature Of Statistical Learning Theory (1997) (2786)
Practical selection of SVM parameters and noise estimation for SVM regression (2004) (1779)
A combined SVM and LDA approach for classification (2005) (896)
Learning from Data: Concepts, Theory, and Methods (1998) (710)
Support vector machines for temporal classification of block design fMRI data (2005) (427)
Learning from data (1998) (314)
Comparison of adaptive methods for function estimation from samples (1996) (196)
Model complexity control for regression using VC generalization bounds (1999) (187)
From Statistics to Neural Networks: Theory and Pattern Recognition Applications (1996) (175)
Self-Organization as an Iterative Kernel Smoothing Process (1995) (158)
Comparison of Model Selection for Regression (2003) (133)
Finding the right ATM switch for the market (1994) (119)
Selection of Meta-parameters for Support Vector Regression (2002) (104)
Image denoising using wavelet thresholding and model selection (2000) (100)
A neural network approach to job-shop scheduling (1991) (93)
Constrained topological mapping for nonparametric regression analysis (1991) (92)
Fuzzy Inference Systems: A Critical Review (1998) (86)
From Statistics to Neural Networks (1994) (84)
Computational intelligence in earth sciences and environmental applications: Issues and challenges (2006) (72)
SVM-Based System for Prediction of Epileptic Seizures From iEEG Signal (2017) (69)
A solution to the inverse kinematic problem in robotics using neural network processing (1989) (67)
Efficient model selection for regularized linear discriminant analysis (2006) (64)
Generalized SMO Algorithm for SVM-Based Multitask Learning (2012) (64)
Forecasting Seizures Using Intracranial EEG Measures and SVM in Naturally Occurring Canine Epilepsy (2015) (62)
Connection between SVM+ and multi-task learning (2008) (59)
Multiple model regression estimation (2005) (57)
Self-organizing maps for the skeletonization of sparse shapes (2000) (56)
Efficient Kernel Discriminant Analysis via QR Decomposition (2004) (56)
Vapnik-Chervonenkis (VC) learning theory and its applications (1999) (56)
Model complexity control and statistical learning theory (2002) (51)
Practical Conditions for Effectiveness of the Universum Learning (2011) (49)
Another look at statistical learning theory and regularization (2009) (48)
Measuring the VC-Dimension Using Optimized Experimental Design (2000) (47)
Development and Evaluation of Cost-Sensitive Universum-SVM (2015) (44)
Scaling neural network for job-shop scheduling (1990) (43)
Data representation for diagnostic neural networks (1992) (42)
Statistical analysis of self-organization (1995) (39)
ATM-Based Multimedia Servers (1995) (37)
Myopotential denoising of ECG signals using wavelet thresholding methods (2001) (36)
Motion estimation using statistical learning theory (2004) (34)
Signal estimation and denoising using VC-theory (2001) (32)
SVM+ regression and multi-task learning (2009) (31)
RELIABILITY AND FAULT DIAGNOSIS ANALYSIS OF FAULT-TOLERANT MULTISTAGE INTERCONNECTION NETWORKS. (1984) (31)
Predictive learning with structured (grouped) data (2009) (29)
Performance of back propagation networks for associative database retrieval (1989) (28)
Probabilistic Joint Feature Selection for Multi-task Learning (2007) (27)
Empirical Study of the Universum SVM Learning for High-Dimensional Data (2009) (26)
Learning rate schedules for self-organizing maps (1994) (23)
Learning using privileged information (LUPI) for modeling survival data (2014) (23)
Omega network-based ATM switch with neural network-controlled bypass queueing and multiplexing (1994) (21)
Comparison of loss functions for linear regression (2004) (20)
Prediction of electric power consumption for commercial buildings (2011) (20)
Gender classification of human faces using inference through contradictions (2008) (19)
Self-organizing network for regression: efficient implementation and comparative evaluation (1991) (19)
Spatial SVM for feature selection and fMRI activation detection (2006) (18)
Learning Using Structured Data: Application to fMRI Data Analysis (2007) (18)
On recursive calculation of the generalized inverse of a matrix (1991) (17)
Distributed and Fault-Tolerant Computation for Retrieval Tasks Using Distributed Associative Memories (1988) (15)
Kernel Uncorrelated and Orthogonal Discriminant Analysis: A Unified Approach (2006) (15)
Simple Method for Interpretation of High-Dimensional Nonlinear SVM Classification Models (2010) (15)
Semantic networks and associative databases: two approaches to knowledge representation and reasoning (1992) (14)
A measure of graceful degradation in parallel-computer systems (1989) (14)
Multi-resolution support vector machine (1999) (13)
Interpretation of Black-Box Predictive Models (2015) (13)
Linear Algebra Approach to Neural Associative Memories and Noise Performance of Neural Classifiers (1991) (13)
Model selection for wavelet-based signal estimation (1998) (13)
Performance metrics for online seizure prediction (2020) (13)
Task allocation and reallocation for fault tolerance in multicomputer systems (1994) (13)
Redundant task-allocation in multicomputer systems (1992) (13)
On Permuting Properties of Regular Rectangular SW-Banyans (1985) (12)
Regularization effect of weight initialization in back propagation networks (1998) (12)
Self-Organizing Neural Network for Non-Parametric Regression Analysis (1990) (11)
Conventional and associative memory approaches to automatic spelling correction (1992) (11)
Predicting Motor Tasks in fMRI Data with Support Vector Machines (2003) (10)
Reliability and Fail-Softness Analysis of Multistage Interconnection Networks (1985) (10)
Multiclass Learning from Contradictions (2019) (9)
SVM-Based Approaches for Predictive Modeling of Survival Data (2013) (9)
Multiple model classification using SVM-based approach (2003) (9)
Graceful Degradation of Multiprocessor Systems (1987) (9)
Methods for Regression (2007) (8)
Fault-tolerant database using distributed associative memories (1991) (8)
Statistical Learning Theory (2007) (8)
Multiple Model Estimation : A New Formulation for Predictive Learning (2002) (7)
Factors controlling generalization ability of MLP networks (1999) (7)
Determining the skeletal description of sparse shapes (1997) (7)
Object skeletons from sparse shapes in industrial image settings (1998) (7)
Analysis and extensions of universum learning (2014) (7)
Universum Selection for Boosting the Performance of Multiclass Support Vector Machines Based on One-versus-One Strategy (2018) (6)
Universum Learning for Multiclass SVM (2016) (6)
Conventional and associative memory-based spelling checkers (1990) (6)
Machine Learning Approach to Predicting Stem Cell Donor Availability. (2018) (6)
Statistical and neural network techniques for nonparametric regression (1994) (6)
Comparison of Wavelet Thresholding Methods for Denoising ECG Signals (2001) (6)
Comparison of conventional and neural network heuristics for job shop scheduling (1992) (6)
Reliable seizure prediction from EEG data (2015) (5)
Self-Organizing Networks for Nonparametric Regression (1994) (5)
Universum learning for SVM regression (2016) (5)
Implementation and comparison of SVM-based Multi-Task Learning methods (2012) (5)
FAULT DIAGNOSIS AND PERMUTING PROPERTIES OF CC-BANYAN NETWORKS. (1984) (4)
Nonparametric regression analysis using self-organizing topological maps (1992) (4)
Donor Selection for Hematopoietic Stem Cell Transplant Using Cost-Sensitive SVM (2015) (4)
2006 Special issue: Earth Sciences and Environmental Applications of Computational IntelligenceIntroduction (2006) (4)
Learning from dat (2013) (4)
Back-propagation networks for spelling correction (2015) (4)
Efficient mapping and implementation of matrix algorithms on a hypercube (1988) (4)
Cost-Sensitive Universum-SVM (2012) (4)
Predictive Learning, Knowledge Discovery and Philosophy of Science (2012) (4)
Constrained Topological Maps for Regression and Classification (1997) (4)
Adaptive knot Placement for Nonparametric Regression (1993) (4)
Inductive Principles for Learning from Data (1998) (4)
Funds exchange: an approach for risk and portfolio management (2000) (3)
Noise Performance of Linear Associative Memories (1994) (3)
Group Learning for High-Dimensional Sparse Data (2019) (3)
Market timing of international mutual funds: a decade after the scandal (2012) (3)
Model selection for k-nearest neighbors regression using VC bounds (2003) (3)
Correction: Forecasting Seizures Using Bivariate Intracranial EEG Measures and SVM in Naturally Occurring Canine Epilepsy (2016) (3)
Classification methods for high-dimensional sparse data (2007) (3)
Partitioning and Permuting Properties of CC-Banyan Networks (1989) (3)
Conventional and neural network approaches to regression (1992) (3)
Data Complexity, Margin-Based Learning, and Popper’s Philosophy of Inductive Learning (2006) (3)
Performance Evaluation of Neurectangular Multistage Interconnection Networks (1988) (3)
SVM-based Learning for Multiple Model Estimation (2002) (3)
Model selection using statistical learning theory (1999) (3)
New Formulations for Predictive Learning (2005) (3)
Matrix Computations and Neural Associative Memories (1990) (2)
Moving ATM closer to multimedia applications (1994) (2)
Computation of the distributed associative memory and numerical stability of the generalized inverse matrix (1989) (2)
Distributed processing for database design (1988) (2)
Multiple regression estimation for motion analysis and segmentation (2004) (2)
Fault-tolerant communications processing (1991) (2)
Application of SOM to analysis of Minnesota soil survey data (2011) (2)
Characterization of data complexity for SVM methods (2005) (2)
WIRELESS TRANSMISSION OF IMAGE AND VIDEO DATA (2002) (2)
Performance of a new LAN for real-time traffic (1990) (2)
Multiclass Universum SVM (2018) (2)
Real-Time Pricing of Mutual Funds (2006) (2)
Controlling model complexity in flow estimation (2003) (2)
Multiple model estimation using svm-based learning (2003) (2)
Application and development of new learning methodologies for fmri data analysis (2007) (2)
System interconnection architectures for multimedia server (1995) (1)
Performance of Non-Rectangular Multistage Interconnection Networks (1986) (1)
Analysis of CC-Banyan Networks (1986) (1)
Motion prediction using VC-generalization bounds (2002) (1)
Performance of neural associative memories for character recognition and associative database retrieval (1990) (1)
An architectural development and performance of a real time LAN (1988) (1)
Predictive learning with sparse heterogeneous data (2009) (1)
Methods for Data Reduction and Dimensionality Reduction (2007) (1)
Noninductive Inference and Alternative Learning Formulations (2007) (1)
Fail-Softness Analysis of Tree-Based Local Area Networks (1985) (1)
Statistical Analysis of the Soil Chemical Survey Data (2010) (1)
Improved VC-based signal denoising (2001) (1)
Nonlinear Optimization Strategies (2007) (0)
Design Issues for Parallel Matrix Algorithms (1991) (0)
The performance of a real time LAN architecture for sensor fusion applications (1988) (0)
Problem Statement, Classical Approaches, and Adaptive Learning (2007) (0)
Datw RepresentmtIon DIagnostIc Neud NeWorks (1992) (0)
Support vector machines and regularization (2005) (0)
Machine Learning approach to Predicting Stem-Cell Donor Availability (2018) (0)
Neural network controller for rearrangeable switching networks (1993) (0)
Adaptive prototype formation (2015) (0)
Computational intelligence in earth and environmental sciences (2007) (0)
Self-organizing network for regression (1991) (0)
Characterization ofDataComplexity forSVM Methods (2005) (0)
Appendix A: Review of Nonlinear Optimization (2007) (0)
Implementation of Quality of Service (QoS) with Dynamic Resource Allocation (2004) (0)
Abstract— Exploiting Additional Information to Improve Traditional Inductive Learning Is an Active Research Area in Machine Learning. in Many Supervised-learning Applications, Training Data Can Be Naturally Separated into Several Groups, and Incorporating This Group Information into Learning May Imp (2009) (0)
Unrelated Donor Selection for Stem Cell Transplants using Predictive Modelling (2018) (0)
Special session panel discussion: methodological issues in the application of learning methods to climate modeling and Earth sciences (2005) (0)
Heterogeneous Predictive Learning with Sparse Heterogeneous Data (0)
Appendix B: Eigenvalues and Singular Value Decomposition (2007) (0)
A Coding Scheme for Concurrent Error Detection/Correction In Multistage Interconnection Networks (1987) (0)
VC Theoretical Explanation of Double Descent (2022) (0)
Introduction to VC learning theory (2000) (0)
Introduction to VC learning theory with applications to Financial Engineering - Tutorial. (2000) (0)
Practical Analysis of the Universum SVM Learning (2011) (0)
Fig.? Expected reward rare. E{X(t»). (0)
1005-LBP: Automation and comparative validation of multiple machine learning techniques for the prediction of HLA serologic specificities: Beyond the neural network (2014) (0)
Real-Time Prediction of Freeway Occupancy for Congestion Control (1997) (0)
Neural Network for Control of Rearrangeable Clos Networks (1994) (0)
1 Associative Databases Two Approaches to Knowledge Representation and Reasoning (1992) (0)
Semantic categorization using a hierarchical associative memory (2015) (0)
Performance and reliability evaluation of banyan networks (fault-tolerance, multistage interconnection, permutation multiprocessing, parallel) (1985) (0)
Single Class Universum-SVM (2019) (0)

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What Schools Are Affiliated With Vladimir S. Cherkassky?

Vladimir S. Cherkassky is affiliated with the following schools:

University of Minnesota

Vladimir S. Cherkassky's Academic­Influence.com Rankings

Why Is Vladimir S. Cherkassky Influential?

Vladimir S. Cherkassky's Published Works

Published Works

What Schools Are Affiliated With Vladimir S. Cherkassky?

Vladimir S. Cherkassky's AcademicInfluence.com Rankings