Vladimir Cherkassky

According to our database1, Vladimir Cherkassky authored at least 105 papers between 1985 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Awards

IEEE Fellow

IEEE Fellow 2008, "For contributions to and leadership in statistical learning and neural networks".

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
To understand double descent, we need to understand VC theory.
Neural Networks, January, 2024

2022
VC Theoretical Explanation of Double Descent.
CoRR, 2022

2020
Performance metrics for online seizure prediction.
Neural Networks, 2020

2019
Single Class Universum-SVM.
CoRR, 2019

Multiclass Learning from Contradictions.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Group Learning for High-Dimensional Sparse Data.
Proceedings of the International Joint Conference on Neural Networks, 2019

2018
Universum Selection for Boosting the Performance of Multiclass Support Vector Machines Based on One-versus-One Strategy.
Knowl. Based Syst., 2018

Multiclass Universum SVM.
CoRR, 2018

2017
SVM-Based System for Prediction of Epileptic Seizures From iEEG Signal.
IEEE Trans. Biomed. Eng., 2017

Commonality of neural representations of sentences across languages: Predicting brain activation during Portuguese sentence comprehension using an English-based model of brain function.
NeuroImage, 2017

Neural representations of the concepts in simple sentences: Concept activation prediction and context effects.
NeuroImage, 2017

Universum learning for SVM regression.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

2016
Universum Learning for Multiclass SVM.
CoRR, 2016

2015
Development and Evaluation of Cost-Sensitive Universum-SVM.
IEEE Trans. Cybern., 2015

Reliable seizure prediction from EEG data.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

Donor Selection for Hematopoietic Stem Cell Transplant Using Cost-Sensitive SVM.
Proceedings of the 14th IEEE International Conference on Machine Learning and Applications, 2015

2014
Learning using privileged information (LUPI) for modeling survival data.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

2012
Generalized SMO Algorithm for SVM-Based Multitask Learning.
IEEE Trans. Neural Networks Learn. Syst., 2012

Predictive Learning, Knowledge Discovery and Philosophy of Science.
Proceedings of the Advances in Computational Intelligence, 2012

Implementation and comparison of SVM-based Multi-Task Learning methods.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

Cost-Sensitive Universum-SVM.
Proceedings of the 11th International Conference on Machine Learning and Applications, 2012

2011
Practical Conditions for Effectiveness of the Universum Learning.
IEEE Trans. Neural Networks, 2011

Application of SOM to analysis of Minnesota soil survey data.
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

Prediction of electric power consumption for commercial buildings.
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

2010
Simple Method for Interpretation of High-Dimensional Nonlinear SVM Classification Models.
Proceedings of The 2010 International Conference on Data Mining, 2010

2009
Predictive learning with structured (grouped) data.
Neural Networks, 2009

Another look at statistical learning theory and regularization.
Neural Networks, 2009

Predictive learning with sparse heterogeneous data.
Proceedings of the International Joint Conference on Neural Networks, 2009

SVM+ regression and multi-task learning.
Proceedings of the International Joint Conference on Neural Networks, 2009

Empirical Study of the Universum SVM Learning for High-Dimensional Data.
Proceedings of the Artificial Neural Networks, 2009

Quantitative modeling of the neural representation of adjective-noun phrases to account for fMRI activation.
Proceedings of the ACL 2009, 2009

2008
Connection between SVM+ and multi-task learning.
Proceedings of the International Joint Conference on Neural Networks, 2008

Gender classification of human faces using inference through contradictions.
Proceedings of the International Joint Conference on Neural Networks, 2008

2007
Computational intelligence in earth and environmental sciences.
Neural Networks, 2007

Probabilistic Joint Feature Selection for Multi-task Learning.
Proceedings of the Seventh SIAM International Conference on Data Mining, 2007

Learning Using Structured Data: Application to fMRI Data Analysis.
Proceedings of the International Joint Conference on Neural Networks, 2007

2006
Computational intelligence in earth sciences and environmental applications: Issues and challenges.
Neural Networks, 2006

2006 Special issue: Earth Sciences and Environmental Applications of Computational IntelligenceIntroduction.
Neural Networks, 2006

Spatial SVM for feature selection and fMRI activation detection.
Proceedings of the International Joint Conference on Neural Networks, 2006

Real-Time Pricing of Mutual Funds.
Proceedings of the International Joint Conference on Neural Networks, 2006

Kernel Uncorrelated and Orthogonal Discriminant Analysis: A Unified Approach.
Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2006), 2006

Efficient model selection for regularized linear discriminant analysis.
Proceedings of the 2006 ACM CIKM International Conference on Information and Knowledge Management, 2006

2005
Multiple model regression estimation.
IEEE Trans. Neural Networks, 2005

Support vector machines for temporal classification of block design fMRI data.
NeuroImage, 2005

Functional connectivity in an fMRI working memory task in high-functioning autism.
NeuroImage, 2005

Support vector machines and regularization.
Proceedings of the Signal and Image Processing (SIP 2005), 2005

2004
Motion Estimation Using Statistical Learning Theory.
IEEE Trans. Pattern Anal. Mach. Intell., 2004

Practical selection of SVM parameters and noise estimation for SVM regression.
Neural Networks, 2004

Efficient Kernel Discriminant Analysis via QR Decomposition.
Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004

2003
Comparison of Model Selection for Regression.
Neural Comput., 2003

Controlling Model Complexity in Flow Estimation.
Proceedings of the 9th IEEE International Conference on Computer Vision (ICCV 2003), 2003

2002
Model complexity control and statistical learning theory.
Nat. Comput., 2002

Motion Prediction Using VC-Generalization Bounds.
Proceedings of the 16th International Conference on Pattern Recognition, 2002

Selection of Meta-parameters for Support Vector Regression.
Proceedings of the Artificial Neural Networks, 2002

2001
Signal estimation and denoising using VC-theory.
Neural Networks, 2001

Myopotential denoising of ECG signals using wavelet thresholding methods.
Neural Networks, 2001

Comparison of Wavelet Thresholding Methods for Denoising ECG Signals.
Proceedings of the Artificial Neural Networks, 2001

2000
Self-organizing maps for the skeletonization of sparse shapes.
IEEE Trans. Neural Networks Learn. Syst., 2000

Measuring the VC-Dimension Using Optimized Experimental Design.
Neural Comput., 2000

Image Denoising Using Wavelet Thresholding and Model Selection.
Proceedings of the 2000 International Conference on Image Processing, 2000

Funds exchange: an approach for risk and portfolio management.
Proceedings of the IEEE/IAFE/INFORMS 2000 Conference on Computational Intelligence for Financial Engineering, 2000

Introduction to VC learning theory with applications to Financial Engineering - Tutorial.
Proceedings of the IEEE/IAFE/INFORMS 2000 Conference on Computational Intelligence for Financial Engineering, 2000

1999
Model complexity control for regression using VC generalization bounds.
IEEE Trans. Neural Networks, 1999

Factors controlling generalization ability of MLP networks.
Proceedings of the International Joint Conference Neural Networks, 1999

Multi-resolution support vector machine.
Proceedings of the International Joint Conference Neural Networks, 1999

1998
Object Skeletons from Sparse Shapes in Industrial image Settings.
Proceedings of the IEEE International Conference on Robotics and Automation, 1998

1997
The Nature Of Statistical Learning Theory.
IEEE Trans. Neural Networks, 1997

Constrained Topological Maps for Regression and Classification.
Proceedings of the Progress in Connectionist-Based Information Systems: Proceedings of the 1997 International Conference on Neural Information Processing and Intelligent Information Systems, 1997

Determining the skeletal description of sparse shapes.
Proceedings of the Proceedings 1997 IEEE International Symposium on Computational Intelligence in Robotics and Automation CIRA'97, 1997

1996
Comparison of adaptive methods for function estimation from samples.
IEEE Trans. Neural Networks, 1996

1995
Statistical analysis of self-organization.
Neural Networks, 1995

Self-organization as an iterative kernel smoothing process.
Neural Comput., 1995

ATM-Based Multimedia Servers.
IEEE Multim., 1995

1994
Noise Performance of Linear Associative Memories.
IEEE Trans. Pattern Anal. Mach. Intell., 1994

Omega network-based ATM switch with neural network-controlled bypass queueing and multiplexing.
IEEE J. Sel. Areas Commun., 1994

Neural Network for Control of Rearrangeable Clos Networks.
Int. J. Neural Syst., 1994

Finding the Right ATM Switch for the Market.
Computer, 1994

Moving ATM Closer to Multimedia Applications.
Proceedings of the Proceedings 19th Conference on Local Computer Networks, 1994

Learning rate schedules for self-organizing maps.
Proceedings of the 12th IAPR International Conference on Pattern Recognition, 1994

1993
Adaptive knot Placement for Nonparametric Regression.
Proceedings of the Advances in Neural Information Processing Systems 6, 1993

Color Mapping Using Neural Networks.
Proceedings of the 1st Color and Imaging Conference, 1993

Neural network controller for rearrangeable switching networks.
Proceedings of International Conference on Neural Networks (ICNN'88), San Francisco, CA, USA, March 28, 1993

1992
Semantic Networks and Associative Databases: Two Approaches to Knowledge Representation and Reasoning.
IEEE Expert, 1992

Data Representation for Diagnostic Neural Networks.
IEEE Expert, 1992

1991
On recursive calculation of the generalized inverse of a matrix.
ACM Trans. Math. Softw., 1991

A neural network approach to job-shop scheduling.
IEEE Trans. Neural Networks, 1991

Linear Algebra Approach to Neural Associative Memories and Noise Performance of Neural Classifiers.
IEEE Trans. Computers, 1991

Constrained topological mapping for nonparametric regression analysis.
Neural Networks, 1991

Fault-tolerant database using distributed associative memories.
Inf. Sci., 1991

Fault-Tolerant Communications Processing.
Proceedings of the 1991 International Symposium on Fault-Tolerant Computing, 1991

1990
Performance of a new LAN for real-time traffic.
Comput. Commun., 1990

Scaling neural network for job-shop scheduling.
Proceedings of the IJCNN 1990, 1990

Conventional and associative memory-based spelling checkers.
Proceedings of the 2nd International IEEE Conference on Tools for Artificial Intelligence, 1990

1989
Partitioning and Permuting Properties of CC-Banyan Networks.
IEEE Trans. Computers, 1989

1988
Efficient mapping and implementation of matrix algorithms on a hypercube.
J. Supercomput., 1988

Performance Evaluation of Neurectangular Multistage Interconnection Networks.
IEEE Trans. Computers, 1988

Distributed and Fault-Tolerant Computation for Retrieval Tasks Using Distributed Associative Memories.
IEEE Trans. Computers, 1988

An Architectural Development and Performance of a Real Time LAN.
Proceedings of the 8th International Conference on Distributed Computing Systems, 1988

1987
Graceful Degradation of Multiprocessor Systems.
Proceedings of the International Conference on Parallel Processing, 1987

A Coding Scheme for Concurrent Error Detection/Correction In Multistage Interconnection Networks.
Proceedings of the International Conference on Parallel Processing, 1987

1986
A Group Probing Strategy for Testing Large Number of Chips.
Proceedings of the Proceedings International Test Conference 1986, 1986

Analysis of CC-Banyan Networks.
Proceedings of the International Conference on Parallel Processing, 1986

Performance of Non-Rectangular Multistage Interconnection Networks.
Proceedings of the 6th International Conference on Distributed Computing Systems, 1986

1985
On Permuting Properties of Regular Rectangular SW-Banyans.
IEEE Trans. Computers, 1985

Fail-Softness Analysis of Tree-Based Local Area Networks.
Proceedings of the 5th International Conference on Distributed Computing Systems, 1985


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