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 | 2012 | |
|---|---|---|
| j37 |      | Feng Cai, Vladimir Cherkassky: Generalized SMO Algorithm for SVM-Based Multitask Learning. IEEE Trans. Neural Netw. Learning Syst. 23(6): 997-1003 (2012) |
| c36 | | |
| c35 | | Han-Tai Shiao, Vladimir Cherkassky: Implementation and comparison of SVM-based Multi-Task Learning methods. IJCNN 2012: 1-7 |
| c34 | | Vladimir Cherkassky: Predictive Learning, Knowledge Discovery and Philosophy of Science. WCCI 2012: 209-233 |
| 2011 | ||
| j36 | | Vladimir Cherkassky, Sauptik Dhar, Wuyang Dai: Practical Conditions for Effectiveness of the Universum Learning. IEEE Transactions on Neural Networks 22(8): 1241-1255 (2011) |
| c33 | | Sauptik Dhar, Vladimir Cherkassky: Application of SOM to analysis of Minnesota soil survey data. IJCNN 2011: 633-639 |
| c32 | | Vladimir Cherkassky, Sohini Roy Chowdhury, Volker Landenberger, Saurabh Tewari, Paul Bursch: Prediction of electric power consumption for commercial buildings. IJCNN 2011: 666-672 |
| 2010 | ||
| c31 |  | Vladimir Cherkassky, Sauptik Dhar: Simple Method for Interpretation of High-Dimensional Nonlinear SVM Classification Models. DMIN 2010: 267-272 |
| 2009 | ||
| j35 | | Lichen Liang, Feng Cai, Vladimir Cherkassky: Predictive learning with structured (grouped) data. Neural Networks 22(5-6): 766-773 (2009) |
| j34 | | Vladimir Cherkassky, Yunqian Ma: Another look at statistical learning theory and regularization. Neural Networks 22(7): 958-969 (2009) |
| c30 | | Kai-min Kevin Chang, Vladimir Cherkassky, Tom M. Mitchell, Marcel Adam Just: Quantitative modeling of the neural representation of adjective-noun phrases to account for fMRI activation. ACL/IJCNLP 2009: 638-646 |
| c29 | | Vladimir Cherkassky, Wuyang Dai: Empirical Study of the Universum SVM Learning for High-Dimensional Data. ICANN (1) 2009: 932-941 |
| c28 | | |
| c27 | | Vladimir Cherkassky, Feng Cai, Lichen Liang: Predictive learning with sparse heterogeneous data. IJCNN 2009: 544-551 |
| 2008 | ||
| c26 | | Xue Bai, Vladimir Cherkassky: Gender classification of human faces using inference through contradictions. IJCNN 2008: 746-750 |
| c25 | | Lichen Liang, Vladimir Cherkassky: Connection between SVM+ and multi-task learning. IJCNN 2008: 2048-2054 |
| 2007 | ||
| j33 | | Vladimir Cherkassky, William Hsieh, Vladimir M. Krasnopolsky, Dimitri P. Solomatine, Julio J. Valdés: Computational intelligence in earth and environmental sciences. Neural Networks 20(4): 433 (2007) |
| c24 | | Lichen Liang, Vladimir Cherkassky: Learning Using Structured Data: Application to fMRI Data Analysis. IJCNN 2007: 495-499 |
| c23 | | Tao Xiong, Jinbo Bi, R. Bharat Rao, Vladimir Cherkassky: Probabilistic Joint Feature Selection for Multi-task Learning. SDM 2007 |
| 2006 | ||
| j32 | | Vladimir Cherkassky, Vladimir M. Krasnopolsky, Dimitri P. Solomatine, Julio J. Valdés: 2006 Special issue: Earth Sciences and Environmental Applications of Computational IntelligenceIntroduction. Neural Networks 19(2): 111 (2006) |
| j31 | | Vladimir Cherkassky, Vladimir M. Krasnopolsky, Dimitri P. Solomatine, Julio J. Valdés: Computational intelligence in earth sciences and environmental applications: Issues and challenges. Neural Networks 19(2): 113-121 (2006) |
| c22 | | Jieping Ye, Tao Xiong, Qi Li, Ravi Janardan, Jinbo Bi, Vladimir Cherkassky, Chandra Kambhamettu: Efficient model selection for regularized linear discriminant analysis. CIKM 2006: 532-539 |
| c21 | | Tao Xiong, Jieping Ye, Vladimir Cherkassky: Kernel Uncorrelated and Orthogonal Discriminant Analysis: A Unified Approach. CVPR (1) 2006: 125-131 |
| c20 | | Lichen Liang, Vladimir Cherkassky, David A. Rottenberg: Spatial SVM for feature selection and fMRI activation detection. IJCNN 2006: 1463-1469 |
| c19 | | |
| 2005 | ||
| j30 | | Vladimir Cherkassky, Yunqian Ma: Multiple model regression estimation. IEEE Transactions on Neural Networks 16(4): 785-798 (2005) |
| c18 | | |
| 2004 | ||
| j29 | | Vladimir Cherkassky, Yunqian Ma: Practical selection of SVM parameters and noise estimation for SVM regression. Neural Networks 17(1): 113-126 (2004) |
| j28 | | Harry Wechsler, Zoran Duric, Fayin Li, Vladimir Cherkassky: Motion Estimation Using Statistical Learning Theory. IEEE Trans. Pattern Anal. Mach. Intell. 26(4): 466-478 (2004) |
| c17 | | Tao Xiong, Jieping Ye, Qi Li, Ravi Janardan, Vladimir Cherkassky: Efficient Kernel Discriminant Analysis via QR Decomposition. NIPS 2004 |
| 2003 | ||
| j27 | | Vladimir Cherkassky, Yunqian Ma: Comparison of Model Selection for Regression. Neural Computation 15(7): 1691-1714 (2003) |
| c16 | | Zoran Duric, Fayin Li, Harry Wechsler, Vladimir Cherkassky: Controlling Model Complexity in Flow Estimation. ICCV 2003: 908-914 |
| 2002 | ||
| j26 | | Vladimir Cherkassky: Model complexity control and statistical learning theory. Natural Computing 1(1): 109-133 (2002) |
| c15 | | Vladimir Cherkassky, Yunqian Ma: Selection of Meta-parameters for Support Vector Regression. ICANN 2002: 687-693 |
| c14 | | Harry Wechsler, Zoran Duric, Fayin Li, Vladimir Cherkassky: Motion Prediction Using VC-Generalization Bounds. ICPR (1) 2002: 151-154 |
| 2001 | ||
| j25 | | Vladimir Cherkassky, Xuhui Shao: Signal estimation and denoising using VC-theory. Neural Networks 14(1): 37-52 (2001) |
| j24 | | Vladimir Cherkassky, Steven Kilts: Myopotential denoising of ECG signals using wavelet thresholding methods. Neural Networks 14(8): 1129-1137 (2001) |
| c13 | | Vladimir Cherkassky, Steven Kilts: Comparison of Wavelet Thresholding Methods for Denoising ECG Signals. ICANN 2001: 625-629 |
| 2000 | ||
| j23 | | Xuhui Shao, Vladimir Cherkassky, William Li: Measuring the VC-Dimension Using Optimized Experimental Design. Neural Computation 12(8): 1969-1986 (2000) |
| j22 | | Rahul Singh, Vladimir Cherkassky, Nikolaos Papanikolopoulos: Self-organizing maps for the skeletonization of sparse shapes. IEEE Trans. Neural Netw. Learning Syst. 11(1): 241-248 (2000) |
| c12 | | |
| 1999 | ||
| j21 | | Vladimir Cherkassky, Xuhui Shao, Filip Mulier, Vladimir Vapnik: Model complexity control for regression using VC generalization bounds. IEEE Transactions on Neural Networks 10(5): 1075-1089 (1999) |
| 1998 | ||
| c11 | | Rahul Singh, Nikolaos Papanikolopoulos, Vladimir Cherkassky: Object Skeletons from Sparse Shapes in Industrial image Settings. ICRA 1998: 3388-3393 |
| 1997 | ||
| j20 | | Vladimir Cherkassky: The Nature Of Statistical Learning Theory. IEEE Trans. Neural Netw. Learning Syst. 8(6): 1564 (1997) |
| 1996 | ||
| j19 | | Vladimir Cherkassky, Don Gehring, Filip Mulier: Comparison of adaptive methods for function estimation from samples. IEEE Trans. Neural Netw. Learning Syst. 7(4): 969-984 (1996) |
| 1995 | ||
| j18 | | Reza Rooholamini, Vladimir Cherkassky: ATM-Based Multimedia Servers. IEEE MultiMedia 2(1): 39-52 (1995) |
| j17 | | Filip Mulier, Vladimir Cherkassky: Self-organization as an iterative kernel smoothing process. Neural Computation 7(6): 1165-1177 (1995) |
| j16 | | Filip Mulier, Vladimir Cherkassky: Statistical analysis of self-organization. Neural Networks 8(5): 717-727 (1995) |
| 1994 | ||
| j15 | | Reza Rooholamini, Vladimir Cherkassky, Mark Garver: Finding the Right ATM Switch for the Market. IEEE Computer 27(4): 16-28 (1994) |
| j14 | | Young-Keun Park, Vladimir Cherkassky: Neural Network for Control of Rearrangeable Clos Networks. Int. J. Neural Syst. 5(3): 195-205 (1994) |
| j13 | | Kalavai J. Raghunath, Vladimir Cherkassky: Noise Performance of Linear Associative Memories. IEEE Trans. Pattern Anal. Mach. Intell. 16(7): 757-765 (1994) |
| c10 | | Reza Rooholamini, Vladimir Cherkassky: Moving ATM Closer to Multimedia Applications. LCN 1994: 278-287 |
| 1993 | ||
| c9 | | Hossein Lari-Najafi, Vladimir Cherkassky: Adaptive knot Placement for Nonparametric Regression. NIPS 1993: 247-254 |
| 1992 | ||
| j12 | | Ee-Peng Lim, Vladimir Cherkassky: Semantic Networks and Associative Databases: Two Approaches to Knowledge Representation and Reasoning. IEEE Expert 7(4): 31-40 (1992) |
| j11 | | Vladimir Cherkassky, Hossein Lari-Najafi: Data Representation for Diagnostic Neural Networks. IEEE Expert 7(5): 43-53 (1992) |
| 1991 | ||
| j10 | | Vladimir Cherkassky, Malathi Rao, Harry Wechsler: Fault-tolerant database using distributed associative memories. Inf. Sci. 53(1-2): 135-158 (1991) |
| j9 | | Vladimir Cherkassky, Hossein Lari-Najafi: Constrained topological mapping for nonparametric regression analysis. Neural Networks 4(1): 27-40 (1991) |
| j8 | | Vladimir Cherkassky, Karen Fassett, Nikolaos Vassilas: Linear Algebra Approach to Neural Associative Memories and Noise Performance of Neural Classifiers. IEEE Trans. Computers 40(12): 1429-1435 (1991) |
| j7 | | Saleem Mohideen, Vladimir Cherkassky: On recursive calculation of the generalized inverse of a matrix. ACM Trans. Math. Softw. 17(1): 130-147 (1991) |
| c8 | | Vladimir Cherkassky, Reza Rooholamini, Hossein Lari-Najafi: Fault-Tolerant Communications Processing. FTCS 1991: 344-351 |
| 1990 | ||
| j6 | | Vladimir Cherkassky, Hossein Lari-Najafi, Norman L. Lawrie, Derek Masson, David W. Pritty: Performance of a new LAN for real-time traffic. Computer Communications 13(5): 259-266 (1990) |
| 1989 | ||
| j5 | | Vladimir Cherkassky, Miroslaw Malek: Partitioning and Permuting Properties of CC-Banyan Networks. IEEE Trans. Computers 38(2): 274-278 (1989) |
| 1988 | ||
| j4 | | Jois Malathi Char, Vladimir Cherkassky, Harry Wechsler, George Lee Zimmerman: Distributed and Fault-Tolerant Computation for Retrieval Tasks Using Distributed Associative Memories. IEEE Trans. Computers 37(4): 484-490 (1988) |
| j3 | | Vladimir Cherkassky: Performance Evaluation of Neurectangular Multistage Interconnection Networks. IEEE Trans. Computers 37(10): 1269-1272 (1988) |
| j2 | | Vladimir Cherkassky, Ross Smith: Efficient mapping and implementation of matrix algorithms on a hypercube. The Journal of Supercomputing 2(1): 7-27 (1988) |
| c7 | | Vladimir Cherkassky, Hossein Lari-Najafi, Norman L. Lawrie, Derek Masson, David W. Pritty: An Architectural Development and Performance of a Real Time LAN. ICDCS 1988: 189-196 |
| 1987 | ||
| c6 | | Vladimir Cherkassky: A Coding Scheme for Concurrent Error Detection/Correction In Multistage Interconnection Networks. ICPP 1987: 755-758 |
| c5 | | Vladimir Cherkassky, Miroslaw Malek: Graceful Degradation of Multiprocessor Systems. ICPP 1987: 885-888 |
| 1986 | ||
| c4 | | Vladimir Cherkassky: Performance of Non-Rectangular Multistage Interconnection Networks. ICDCS 1986: 2-7 |
| c3 | | |
| c2 | | Vladimir Cherkassky, Larry L. Kinney: A Group Probing Strategy for Testing Large Number of Chips. ITC 1986: 853-856 |
| 1985 | ||
| j1 | | Vladimir Cherkassky, Miroslaw Malek: On Permuting Properties of Regular Rectangular SW-Banyans. IEEE Trans. Computers 34(6): 542-546 (1985) |
| c1 | | Vladimir Cherkassky, Miroslaw Malek, G. Jack Lipovski: Fail-Softness Analysis of Tree-Based Local Area Networks. ICDCS 1985: 380-385 |
Colors in the list of coauthors
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