Name
Affiliation
Papers
VLADIMIR CHERKASSKY
Univ Minnesota, Dept Elect & Comp Engn, Minneapolis, MN 55455 USA
71
Collaborators
Citations 
PageRank 
82
1064
126.66
Referers 
Referees 
References 
2584
535
351
Search Limit
1001000
Title
Citations
PageRank
Year
Multiclass Universum SVM.00.342018
Neural representations of the concepts in simple sentences: Concept activation prediction and context effects.20.412017
Commonality of neural representations of sentences across languages: Predicting brain activation during Portuguese sentence comprehension using an English-based model of brain function.20.382017
Universum Learning for Multiclass SVM.00.342016
Reliable seizure prediction from EEG data20.532015
Development and evaluation of cost-sensitive universum-SVM.110.512015
Donor Selection For Hematopoietic Stem Cell Transplant Using Cost-Sensitive Svm00.342015
Learning using privileged information (LUPI) for modeling survival data60.592014
Cost-Sensitive Universum-SVM30.402012
Generalized SMO algorithm for SVM-based multitask learning.240.752012
Predictive learning, knowledge discovery and philosophy of science10.492012
Application of SOM to analysis of Minnesota soil survey data00.342011
Practical Conditions for Effectiveness of the Universum Learning251.292011
Prediction of electric power consumption for commercial buildings.40.762011
Simple Method for Interpretation of High-Dimensional Nonlinear SVM Classification Models40.692010
Empirical Study of the Universum SVM Learning for High-Dimensional Data110.612009
SVM+ regression and multi-task learning140.722009
Quantitative modeling of the neural representation of adjective-noun phrases to account for fMRI activation20.362009
Another look at statistical learning theory and regularization.60.522009
Predictive learning with structured (grouped) data.110.752009
Predictive learning with sparse heterogeneous data00.342009
Connection between SVM+ and multi-task learning210.952008
Gender classification of human faces using inference through contradictions90.612008
Learning Using Structured Data: Application To Fmri Data Analysis110.912007
Computational intelligence in earth and environmental sciences.00.342007
Efficient model selection for regularized linear discriminant analysis281.442006
Kernel Uncorrelated and Orthogonal Discriminant Analysis: A Unified Approach50.432006
Spatial SVM for feature selection and fMRI activation detection70.562006
Real-Time Pricing of Mutual Funds00.342006
2006 Special issue: Earth Sciences and Environmental Applications of Computational IntelligenceIntroduction10.392006
Support vector machines and regularization00.342005
Functional connectivity in an fMRI working memory task in high-functioning autism.272.992005
Efficient Kernel Discriminant Analysis via QR Decomposition371.622004
Motion estimation using Statistical Learning Theory.141.272004
Practical selection of SVM parameters and noise estimation for SVM regression.39024.382004
Comparison of model selection for regression.307.092003
Model complexity control and statistical learning theory80.732002
Selection of Meta-parameters for Support Vector Regression161.212002
Myopotential denoising of ECG signals using wavelet thresholding methods.91.712001
Comparison of Wavelet Thresholding Methods for Denoising ECG Signals10.372001
Measuring the VC-dimension using optimized experimental design.172.092000
Image denoising using wavelet thresholding and model selection90.872000
Multi-resolution support vector machine30.561999
Factors controlling generalization ability of MLP networks20.401999
Constrained Topological Maps For Regression And Classification00.341997
ATM based multimedia servers141.431995
Self-organization as an iterative kernel smoothing process.5822.741995
Statistical analysis of self-organization172.541995
Neural Network for Control of Rearrangeable Clos Networks00.341994
Finding the right ATM switch for the market604.371994
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