| 2019 | IJCNN | Group Learning for High-Dimensional Sparse Data. | Vladimir Cherkassky, Hsiang-Han Chen, Han-Tai Shiao |
| 2017 | IJCNN | Universum learning for SVM regression. | Sauptik Dhar, Vladimir Cherkassky |
| 2015 | ICMLA | Donor Selection for Hematopoietic Stem Cell Transplant Using Cost-Sensitive SVM. | Adarsh Sivasankaran, Vladimir Cherkassky, Mark Albrecht, Eric Williams, Martin Maiers |
| 2015 | IJCNN | Reliable seizure prediction from EEG data. | Vladimir Cherkassky, Brandon Veber, Jieun Lee, Han-Tai Shiao, Ned Patterson, Gregory A. Worrell, Benjamin H. Brinkmann |
| 2014 | IJCNN | Learning using privileged information (LUPI) for modeling survival data. | Han-Tai Shiao, Vladimir Cherkassky |
| 2012 | ICMLA | Cost-Sensitive Universum-SVM. | Sauptik Dhar, Vladimir Cherkassky |
| 2012 | IJCNN | Implementation and comparison of SVM-based Multi-Task Learning methods. | Han-Tai Shiao, Vladimir Cherkassky |
| 2011 | IJCNN | Prediction of electric power consumption for commercial buildings. | Vladimir Cherkassky, Sohini Roy Chowdhury, Volker Landenberger, Saurabh Tewari, Paul Bursch |
| 2011 | IJCNN | Application of SOM to analysis of Minnesota soil survey data. | Sauptik Dhar, Vladimir Cherkassky |
| 2009 | ACL | Quantitative modeling of the neural representation of adjective-noun phrases to account for fMRI activation. | Kai-min Kevin Chang, Vladimir Cherkassky, Tom M. Mitchell, Marcel Adam Just |
| 2009 | ICANN | Empirical Study of the Universum SVM Learning for High-Dimensional Data. | Vladimir Cherkassky, Wuyang Dai |
| 2009 | IJCNN | SVM+ regression and multi-task learning. | Feng Cai, Vladimir Cherkassky |
| 2009 | IJCNN | Predictive learning with sparse heterogeneous data. | Vladimir Cherkassky, Feng Cai, Lichen Liang |
| 2008 | IJCNN | Gender classification of human faces using inference through contradictions. | Xue Bai, Vladimir Cherkassky |
| 2008 | IJCNN | Connection between SVM+ and multi-task learning. | Lichen Liang, Vladimir Cherkassky |
| 2007 | IJCNN | Learning Using Structured Data: Application to fMRI Data Analysis. | Lichen Liang, Vladimir Cherkassky |
| 2007 | SDM | Probabilistic Joint Feature Selection for Multi-task Learning. | Tao Xiong, Jinbo Bi, R. Bharat Rao, Vladimir Cherkassky |
| 2006 | CIKM | Efficient model selection for regularized linear discriminant analysis. | Jieping Ye, Tao Xiong, Qi Li, Ravi Janardan, Jinbo Bi, Vladimir Cherkassky, Chandra Kambhamettu |
| 2006 | CVPR | Kernel Uncorrelated and Orthogonal Discriminant Analysis: A Unified Approach. | Tao Xiong, Jieping Ye, Vladimir Cherkassky |
| 2006 | IJCNN | Real-Time Pricing of Mutual Funds. | Hui Gao, Vladimir Cherkassky |
| 2006 | IJCNN | Spatial SVM for feature selection and fMRI activation detection. | Lichen Liang, Vladimir Cherkassky, David A. Rottenberg |
| 2005 | IJCNN | Special session panel discussion: methodological issues in the application of learning methods to climate modeling and Earth sciences. | Vladimir Cherkassky, Vladimir M. Krasnopolsky, Dimitri P. Solomatine, Julio J. Valds |
| 2005 | IJCNN | Characterization of data complexity for SVM methods. | Yunqian Ma, Vladimir Cherkassky |
| 2005 | IJCNN | A combined SVM and LDA approach for classification. | Tao Xiong, Vladimir Cherkassky |
| 2004 | IJCNN | Comparison of loss functions for linear regression. | Vladimir Cherkassky, Yunqian Ma |
| 2004 | IJCNN | Multiple regression estimation for motion analysis and segmentation. | Vladimir Cherkassky, Yunqian Ma, Harry Wechsler |
| 2003 | ICCV | Controlling Model Complexity in Flow Estimation. | Zoran Duric, Fayin Li, Harry Wechsler, Vladimir Cherkassky |
| 2003 | IJCNN | Model selection for k-nearest neighbors regression using VC bounds. | Vladimir Cherkassky, Yunqian Ma, Jun Tang |
| 2003 | IJCNN | Multiple model classification using SVM-based approach. | Yunqian Ma, Vladimir Cherkassky |
| 2002 | ICANN | Selection of Meta-parameters for Support Vector Regression. | Vladimir Cherkassky, Yunqian Ma |
| 2002 | ICPR | Motion Prediction Using VC-Generalization Bounds. | Harry Wechsler, Zoran Duric, Fayin Li, Vladimir Cherkassky |
| 2001 | ICANN | Comparison of Wavelet Thresholding Methods for Denoising ECG Signals. | Vladimir Cherkassky, Steven Kilts |
| 2000 | ICIP | Image Denoising Using Wavelet Thresholding and Model Selection. | Shi Zhong, Vladimir Cherkassky |
| 1999 | IJCNN | Multi-resolution support vector machine. | Xuhui Shao, Vladimir Cherkassky |
| 1999 | IJCNN | Factors controlling generalization ability of MLP networks. | Shi Zhong, Vladimir Cherkassky |
| 1998 | ICRA | Object Skeletons from Sparse Shapes in Industrial image Settings. | Rahul Singh, Nikolaos Papanikolopoulos, Vladimir Cherkassky |
| 1997 | ICONIP | Constrained Topological Maps for Regression and Classification. | Vladimir Cherkassky, Y. Kim, Filip Mulier |
| 1994 | ICPR | Learning rate schedules for self-organizing maps. | Filip Mulier, Vladimir Cherkassky |
| 1994 | LCN | Moving ATM Closer to Multimedia Applications. | Reza Rooholamini, Vladimir Cherkassky |
| 1990 | IJCNN | Scaling neural network for job-shop scheduling. | Deming N. Zhou, Vladimir Cherkassky, T. R. Baldwin, D. W. Hong |
| 1990 | ICTAI | Conventional and associative memory-based spelling checkers. | Vladimir Cherkassky, Nikolaos Vassilas, Gregory L. Brodt |
| 1988 | ICDCS | An Architectural Development and Performance of a Real Time LAN. | Vladimir Cherkassky, Hossein Lari-Najafi, Norman L. Lawrie, Derek Masson, David W. Pritty |
| 1987 | ICPP | A Coding Scheme for Concurrent Error Detection/Correction In Multistage Interconnection Networks. | Vladimir Cherkassky |
| 1987 | ICPP | Graceful Degradation of Multiprocessor Systems. | Vladimir Cherkassky, Miroslaw Malek |
| 1986 | ICDCS | Performance of Non-Rectangular Multistage Interconnection Networks. | Vladimir Cherkassky |
| 1986 | ICPP | Analysis of CC-Banyan Networks. | Vladimir Cherkassky, Miroslaw Malek |
| 1986 | ITC | A Group Probing Strategy for Testing Large Number of Chips. | Vladimir Cherkassky, Larry L. Kinney |
| 1985 | ICDCS | Fail-Softness Analysis of Tree-Based Local Area Networks. | Vladimir Cherkassky, Miroslaw Malek, G. Jack Lipovski |