Vladimir Cherkassky

	2011
67		Sauptik Dhar, Vladimir Cherkassky: Application of SOM to analysis of Minnesota soil survey data. IJCNN 2011: 633-639
66		Vladimir Cherkassky, Sohini Roy Chowdhury, Volker Landenberger, Saurabh Tewari, Paul Bursch: Prediction of electric power consumption for commercial buildings. IJCNN 2011: 666-672
65		Vladimir Cherkassky, Sauptik Dhar, Wuyang Dai: Practical Conditions for Effectiveness of the Universum Learning. IEEE Transactions on Neural Networks 22(8): 1241-1255 (2011)
	2010
64		Vladimir Cherkassky, Sauptik Dhar: Simple Method for Interpretation of High-Dimensional Nonlinear SVM Classification Models. DMIN 2010: 267-272
	2009
63		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/AFNLP 2009: 638-646
62		Vladimir Cherkassky, Wuyang Dai: Empirical Study of the Universum SVM Learning for High-Dimensional Data. ICANN (1) 2009: 932-941
61		Feng Cai, Vladimir Cherkassky: SVM+ regression and multi-task learning. IJCNN 2009: 418-424
60		Vladimir Cherkassky, Feng Cai, Lichen Liang: Predictive learning with sparse heterogeneous data. IJCNN 2009: 544-551
59		Lichen Liang, Feng Cai, Vladimir Cherkassky: Predictive learning with structured (grouped) data. Neural Networks 22(5-6): 766-773 (2009)
58		Vladimir Cherkassky, Yunqian Ma: Another look at statistical learning theory and regularization. Neural Networks 22(7): 958-969 (2009)
	2008
57		Lichen Liang, Vladimir Cherkassky: Connection between SVM+ and multi-task learning. IJCNN 2008: 2048-2054
56		Xue Bai, Vladimir Cherkassky: Gender classification of human faces using inference through contradictions. IJCNN 2008: 746-750
	2007
55		Lichen Liang, Vladimir Cherkassky: Learning Using Structured Data: Application to fMRI Data Analysis. IJCNN 2007: 495-499
54		Tao Xiong, Jinbo Bi, R. Bharat Rao, Vladimir Cherkassky: Probabilistic Joint Feature Selection for Multi-task Learning. SDM 2007
53		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)
	2006
52		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
51		Tao Xiong, Jieping Ye, Vladimir Cherkassky: Kernel Uncorrelated and Orthogonal Discriminant Analysis: A Unified Approach. CVPR (1) 2006: 125-131
50		Lichen Liang, Vladimir Cherkassky, David A. Rottenberg: Spatial SVM for feature selection and fMRI activation detection. IJCNN 2006: 1463-1469
49		Hui Gao, Vladimir Cherkassky: Real-Time Pricing of Mutual Funds. IJCNN 2006: 2402-2408
48		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)
47		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)
	2005
46		Vladimir Cherkassky, Yunqian Ma: Support vector machines and regularization. SIP 2005: 166-171
45		Vladimir Cherkassky, Yunqian Ma: Multiple model regression estimation. IEEE Transactions on Neural Networks 16(4): 785-798 (2005)
	2004
44		Tao Xiong, Jieping Ye, Qi Li, Ravi Janardan, Vladimir Cherkassky: Efficient Kernel Discriminant Analysis via QR Decomposition. NIPS 2004
43		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)
42		Vladimir Cherkassky, Yunqian Ma: Practical selection of SVM parameters and noise estimation for SVM regression. Neural Networks 17(1): 113-126 (2004)
	2003
41		Zoran Duric, Fayin Li, Harry Wechsler, Vladimir Cherkassky: Controlling Model Complexity in Flow Estimation. ICCV 2003: 908-914
40		Vladimir Cherkassky, Yunqian Ma: Comparison of Model Selection for Regression. Neural Computation 15(7): 1691-1714 (2003)
	2002
39		Vladimir Cherkassky, Yunqian Ma: Selection of Meta-parameters for Support Vector Regression. ICANN 2002: 687-693
38		Harry Wechsler, Zoran Duric, Fayin Li, Vladimir Cherkassky: Motion Prediction Using VC-Generalization Bounds. ICPR (1) 2002: 151-154
37		Vladimir Cherkassky: Model complexity control and statistical learning theory. Natural Computing 1(1): 109-133 (2002)
	2001
36		Vladimir Cherkassky, Steven Kilts: Comparison of Wavelet Thresholding Methods for Denoising ECG Signals. ICANN 2001: 625-629
35		Vladimir Cherkassky, Xuhui Shao: Signal estimation and denoising using VC-theory. Neural Networks 14(1): 37-52 (2001)
34		Vladimir Cherkassky, Steven Kilts: Myopotential denoising of ECG signals using wavelet thresholding methods. Neural Networks 14(8): 1129-1137 (2001)
	2000
33		Shi Zhong, Vladimir Cherkassky: Image Denoising Using Wavelet Thresholding and Model Selection. ICIP 2000
32		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)
31		Xuhui Shao, Vladimir Cherkassky, William Li: Measuring the VC-Dimension Using Optimized Experimental Design. Neural Computation 12(8): 1969-1986 (2000)
	1999
30		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
29		Rahul Singh, Nikolaos Papanikolopoulos, Vladimir Cherkassky: Object Skeletons from Sparse Shapes in Industrial image Settings. ICRA 1998: 3388-3393
	1995
28		Reza Rooholamini, Vladimir Cherkassky: ATM-Based Multimedia Servers. IEEE MultiMedia 2(1): 39-52 (1995)
27		Filip Mulier, Vladimir Cherkassky: Self-organization as an iterative kernel smoothing process. Neural Computation 7(6): 1165-1177 (1995)
26		Filip Mulier, Vladimir Cherkassky: Statistical analysis of self-organization. Neural Networks 8(5): 717-727 (1995)
	1994
25		Reza Rooholamini, Vladimir Cherkassky: Moving ATM Closer to Multimedia Applications. LCN 1994: 278-287
24		Reza Rooholamini, Vladimir Cherkassky, Mark Garver: Finding the Right ATM Switch for the Market. IEEE Computer 27(4): 16-28 (1994)
23		Kalavai J. Raghunath, Vladimir Cherkassky: Noise Performance of Linear Associative Memories. IEEE Trans. Pattern Anal. Mach. Intell. 16(7): 757-765 (1994)
22		Young-Keun Park, Vladimir Cherkassky: Neural Network for Control of Rearrangeable Clos Networks. Int. J. Neural Syst. 5(3): 195-205 (1994)
	1993
21		Hossein Lari-Najafi, Vladimir Cherkassky: Adaptive knot Placement for Nonparametric Regression. NIPS 1993: 247-254
	1992
20		Ee-Peng Lim, Vladimir Cherkassky: Semantic Networks and Associative Databases: Two Approaches to Knowledge Representation and Reasoning. IEEE Expert 7(4): 31-40 (1992)
19		Vladimir Cherkassky, Hossein Lari-Najafi: Data Representation for Diagnostic Neural Networks. IEEE Expert 7(5): 43-53 (1992)
	1991
18		Vladimir Cherkassky, Reza Rooholamini, Hossein Lari-Najafi: Fault-Tolerant Communications Processing. FTCS 1991: 344-351
17		Saleem Mohideen, Vladimir Cherkassky: On recursive calculation of the generalized inverse of a matrix. ACM Trans. Math. Softw. 17(1): 130-147 (1991)
16		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)
15		Vladimir Cherkassky, Malathi Rao, Harry Wechsler: Fault-tolerant database using distributed associative memories. Inf. Sci. 53(1-2): 135-158 (1991)
14		Vladimir Cherkassky, Hossein Lari-Najafi: Constrained topological mapping for nonparametric regression analysis. Neural Networks 4(1): 27-40 (1991)
	1990
13		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
12		Vladimir Cherkassky, Miroslaw Malek: Partitioning and Permuting Properties of CC-Banyan Networks. IEEE Trans. Computers 38(2): 274-278 (1989)
	1988
11		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
10		Vladimir Cherkassky: Performance Evaluation of Neurectangular Multistage Interconnection Networks. IEEE Trans. Computers 37(10): 1269-1272 (1988)
9		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)
8		Vladimir Cherkassky, Ross Smith: Efficient mapping and implementation of matrix algorithms on a hypercube. The Journal of Supercomputing 2(1): 7-27 (1988)
	1987
7		Vladimir Cherkassky: A Coding Scheme for Concurrent Error Detection/Correction In Multistage Interconnection Networks. ICPP 1987: 755-758
6		Vladimir Cherkassky, Miroslaw Malek: Graceful Degradation of Multiprocessor Systems. ICPP 1987: 885-888
	1986
5		Vladimir Cherkassky: Performance of Non-Rectangular Multistage Interconnection Networks. ICDCS 1986: 2-7
4		Vladimir Cherkassky, Miroslaw Malek: Analysis of CC-Banyan Networks. ICPP 1986: 115
3		Vladimir Cherkassky, Larry L. Kinney: A Group Probing Strategy for Testing Large Number of Chips. ITC 1986: 853-856
	1985
2		Vladimir Cherkassky, Miroslaw Malek, G. Jack Lipovski: Fail-Softness Analysis of Tree-Based Local Area Networks. ICDCS 1985: 380-385
1		Vladimir Cherkassky, Miroslaw Malek: On Permuting Properties of Regular Rectangular SW-Banyans. IEEE Trans. Computers 34(6): 542-546 (1985)

Coauthor Index

1	Xue Bai	[56]
2	Jinbo Bi	[52] [54]
3	Paul Bursch	[66]
4	Feng Cai	[59] [60] [61]
5	Kai-min Kevin Chang	[63]
6	Jois Malathi Char	[9]
7	Sohini Roy Chowdhury	[66]
8	Wuyang Dai	[62] [65]
9	Sauptik Dhar	[64] [65] [67]
10	Zoran Duric	[38] [41] [43]
11	Karen Fassett	[16]
12	Hui Gao	[49]
13	Mark Garver	[24]
14	William Hsieh	[53]
15	Ravi Janardan	[44] [52]
16	Marcel Adam Just	[63]
17	Chandra Kambhamettu	[52]
18	Steven Kilts	[34] [36]
19	Larry L. Kinney	[3]
20	Vladimir M. Krasnopolsky	[47] [48] [53]
21	Volker Landenberger	[66]
22	Hossein Lari-Najafi	[11] [13] [14] [18] [19] [21]
23	Norman L. Lawrie	[11] [13]
24	Fayin Li	[38] [41] [43]
25	Qi Li	[44] [52]
26	William Li	[31]
27	Lichen Liang	[50] [55] [57] [59] [60]
28	Ee-Peng Lim	[20]
29	G. Jack Lipovski	[2]
30	Yunqian Ma	[39] [40] [42] [45] [46] [58]
31	Miroslaw Malek	[1] [2] [4] [6] [12]
32	Derek Masson	[11] [13]
33	Tom M. Mitchell	[63]
34	Saleem Mohideen	[17]
35	Filip Mulier	[26] [27] [30]
36	Nikolaos Papanikolopoulos (Nikolaos P. Papanikolopoulos)	[29] [32]
37	Young-Keun Park	[22]
38	David W. Pritty	[11] [13]
39	Kalavai J. Raghunath	[23]
40	Malathi Rao	[15]
41	R. Bharat Rao	[54]
42	Reza Rooholamini	[18] [24] [25] [28]
43	David A. Rottenberg	[50]
44	Xuhui Shao	[30] [31] [35]
45	Rahul Singh	[29] [32]
46	Ross Smith	[8]
47	Dimitri P. Solomatine	[47] [48] [53]
48	Saurabh Tewari	[66]
49	Julio J. Valdés	[47] [48] [53]
50	Vladimir Vapnik	[30]
51	Nikolaos Vassilas	[16]
52	Harry Wechsler	[9] [15] [38] [41] [43]
53	Tao Xiong	[44] [51] [52] [54]
54	Jieping Ye	[44] [51] [52]
55	Shi Zhong	[33]
56	George Lee Zimmerman	[9]

Colors in the list of coauthors

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