Vladimir Cherkassky - Publications

Affiliations: 
Electrical Engineering University of Minnesota, Twin Cities, Minneapolis, MN 
Area:
Electronics and Electrical Engineering, Computer Science

114 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2018 Just MA, Pan L, Cherkassky VL, McMakin DL, Cha C, Nock MK, Brent D. Reply to 'Neural signatures to emotion-related word stimuli may vary'. Nature Human Behaviour. 2: 711. PMID 31406280 DOI: 10.1038/s41562-018-0414-4  0.68
2017 Just MA, Pan L, Cherkassky VL, McMakin D, Cha C, Nock MK, Brent D. Machine learning of neural representations of suicide and emotion concepts identifies suicidal youth. Nature Human Behaviour. 1: 911-919. PMID 29367952 DOI: 10.1038/s41562-017-0234-y  0.68
2017 Yang Y, Wang J, Bailer C, Cherkassky V, Just MA. Commonalities and differences in the neural representations of English, Portuguese, and Mandarin sentences: When knowledge of the brain-language mappings for two languages is better than one. Brain and Language. 175: 77-85. PMID 29045921 DOI: 10.1016/j.bandl.2017.09.007  0.68
2017 Wang J, Cherkassky VL, Just MA. Predicting the brain activation pattern associated with the propositional content of a sentence: Modeling neural representations of events and states. Human Brain Mapping. PMID 28653794 DOI: 10.1002/hbm.23692  0.68
2017 Just MA, Wang J, Cherkassky VL. Neural representations of the concepts in simple sentences: Concept activation prediction and context effects. Neuroimage. PMID 28629977 DOI: 10.1016/j.neuroimage.2017.06.033  0.68
2017 Chase HW, Segreti AM, Keller TA, Cherkassky VL, Just MA, Pan LA, Brent DA. Alterations of functional connectivity and intrinsic activity within the cingulate cortex of suicidal ideators. Journal of Affective Disorders. 212: 78-85. PMID 28157550 DOI: 10.1016/j.jad.2017.01.013  0.68
2016 Yang Y, Wang J, Bailer C, Cherkassky V, Just MA. Commonality of neural representations of sentences across languages: predicting brain activation during Portuguese sentence comprehension using an English-based model of brain function. Neuroimage. PMID 27771346 DOI: 10.1016/j.neuroimage.2016.10.029  0.68
2016 Wang J, Cherkassky VL, Yang Y, Chang KK, Vargas R, Diana N, Just MA. Identifying thematic roles from neural representations measured by functional magnetic resonance imaging. Cognitive Neuropsychology. 1-8. PMID 27314175 DOI: 10.1080/02643294.2016.1182480  0.4
2016 Brinkmann BH, Patterson EE, Vite C, Vasoli VM, Crepeau D, Stead M, Howbert JJ, Cherkassky V, Wagenaar JB, Litt B, Worrell GA. Correction: Forecasting Seizures Using Bivariate Intracranial EEG Measures and SVM in Naturally Occurring Canine Epilepsy. Plos One. 11: e0156476. PMID 27227650 DOI: 10.1371/journal.pone.0156476  1
2016 Damarla SR, Cherkassky VL, Just MA. Modality-independent representations of small quantities based on brain activation patterns. Human Brain Mapping. 37: 1296-307. PMID 26749189 DOI: 10.1002/hbm.23102  0.4
2016 Sivasankaran A, Cherkassky V, Albrecht M, Williams E, Maiers M. Donor selection for hematopoietic stem cell transplant using cost-sensitive SVM Proceedings - 2015 Ieee 14th International Conference On Machine Learning and Applications, Icmla 2015. 831-836. DOI: 10.1109/ICMLA.2015.166  1
2015 Kana RK, Maximo JO, Williams DL, Keller TA, Schipul SE, Cherkassky VL, Minshew NJ, Just MA. Aberrant functioning of the theory-of-mind network in children and adolescents with autism. Molecular Autism. 6: 59. PMID 26512314 DOI: 10.1186/s13229-015-0052-x  0.4
2015 Brinkmann BH, Patterson EE, Vite C, Vasoli VM, Crepeau D, Stead M, Howbert JJ, Cherkassky V, Wagenaar JB, Litt B, Worrell GA. Forecasting Seizures Using Intracranial EEG Measures and SVM in Naturally Occurring Canine Epilepsy. Plos One. 10: e0133900. PMID 26241907 DOI: 10.1371/journal.pone.0133900  1
2015 Dhar S, Cherkassky V. Development and evaluation of cost-sensitive universum-SVM. Ieee Transactions On Cybernetics. 45: 806-18. PMID 25265638 DOI: 10.1109/TCYB.2014.2336876  1
2015 Cherkassky V, Veber B, Lee J, Shiao HT, Patterson N, Worrell GA, Brinkmann BH. Reliable seizure prediction from EEG data Proceedings of the International Joint Conference On Neural Networks. 2015. DOI: 10.1109/IJCNN.2015.7280327  1
2015 Cherkassky V, Dhar S. Interpretation of black-box predictive models Measures of Complexity: Festschrift For Alexey Chervonenkis. 267-286. DOI: 10.1007/978-3-319-21852-6_19  1
2014 Just MA, Cherkassky VL, Buchweitz A, Keller TA, Mitchell TM. Identifying autism from neural representations of social interactions: neurocognitive markers of autism. Plos One. 9: e113879. PMID 25461818 DOI: 10.1371/journal.pone.0113879  0.4
2014 Shiao HT, Cherkassky V. Learning using privileged information (LUPI) for modeling survival data Proceedings of the International Joint Conference On Neural Networks. 1042-1049. DOI: 10.1109/IJCNN.2014.6889517  1
2013 Kassam KS, Markey AR, Cherkassky VL, Loewenstein G, Just MA. Identifying Emotions on the Basis of Neural Activation. Plos One. 8: e66032. PMID 23840392 DOI: 10.1371/journal.pone.0066032  0.4
2013 Williams DL, Cherkassky VL, Mason RA, Keller TA, Minshew NJ, Just MA. Brain function differences in language processing in children and adults with autism. Autism Research : Official Journal of the International Society For Autism Research. 6: 288-302. PMID 23495230 DOI: 10.1002/aur.1291  0.4
2012 Cai F, Cherkassky V. Generalized SMO algorithm for SVM-based multitask learning. Ieee Transactions On Neural Networks and Learning Systems. 23: 997-1003. PMID 24806769 DOI: 10.1109/TNNLS.2012.2187307  1
2012 Shiao HT, Cherkassky V. Implementation and comparison of SVM-based Multi-Task Learning methods Proceedings of the International Joint Conference On Neural Networks. DOI: 10.1109/IJCNN.2012.6252442  1
2012 Dhar S, Cherkassky V. Cost-sensitive universum-SVM Proceedings - 2012 11th International Conference On Machine Learning and Applications, Icmla 2012. 1: 220-225. DOI: 10.1109/ICMLA.2012.45  1
2012 Cherkassky V. Predictive learning, knowledge discovery and philosophy of science Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 7311: 209-233. DOI: 10.1007/978-3-642-30687-7_11  1
2011 Cherkassky V, Dhar S, Dai W. Practical conditions for effectiveness of the Universum learning. Ieee Transactions On Neural Networks / a Publication of the Ieee Neural Networks Council. 22: 1241-55. PMID 21724504 DOI: 10.1109/TNN.2011.2157522  1
2011 Liu Y, Cherkassky VL, Minshew NJ, Just MA. Autonomy of lower-level perception from global processing in autism: evidence from brain activation and functional connectivity. Neuropsychologia. 49: 2105-11. PMID 21513720 DOI: 10.1016/j.neuropsychologia.2011.04.005  0.4
2011 Cherkassky V, Roy Chowdhury S, Landenberger V, Tewari S, Bursch P. Prediction of electric power consumption for commercial buildings Proceedings of the International Joint Conference On Neural Networks. 666-672. DOI: 10.1109/IJCNN.2011.6033285  1
2011 Dhar S, Cherkassky V. Application of SOM to analysis of Minnesota soil survey data Proceedings of the International Joint Conference On Neural Networks. 633-639. DOI: 10.1109/IJCNN.2011.6033280  1
2010 Damarla SR, Keller TA, Kana RK, Cherkassky VL, Williams DL, Minshew NJ, Just MA. Cortical underconnectivity coupled with preserved visuospatial cognition in autism: Evidence from an fMRI study of an embedded figures task. Autism Research : Official Journal of the International Society For Autism Research. 3: 273-9. PMID 20740492 DOI: 10.1002/aur.153  0.4
2010 Just MA, Cherkassky VL, Aryal S, Mitchell TM. A neurosemantic theory of concrete noun representation based on the underlying brain codes. Plos One. 5: e8622. PMID 20084104 DOI: 10.1371/journal.pone.0008622  0.4
2009 Liang L, Cai F, Cherkassky V. Predictive learning with structured (grouped) data. Neural Networks : the Official Journal of the International Neural Network Society. 22: 766-73. PMID 19596546 DOI: 10.1016/j.neunet.2009.06.030  1
2009 Cherkassky V, Ma Y. Another look at statistical learning theory and regularization. Neural Networks : the Official Journal of the International Neural Network Society. 22: 958-69. PMID 19443179 DOI: 10.1016/j.neunet.2009.04.005  1
2009 Kana RK, Keller TA, Cherkassky VL, Minshew NJ, Just MA. Atypical frontal-posterior synchronization of Theory of Mind regions in autism during mental state attribution. Social Neuroscience. 4: 135-52. PMID 18633829 DOI: 10.1080/17470910802198510  0.4
2009 Cherkassky V, Cai F, Liang L. Predictive learning with sparse heterogeneous data Proceedings of the International Joint Conference On Neural Networks. 544-551. DOI: 10.1109/IJCNN.2009.5179036  1
2009 Cai F, Cherkassky V. SVM+ regression and Multi-Task Learning Proceedings of the International Joint Conference On Neural Networks. 418-424. DOI: 10.1109/IJCNN.2009.5178650  1
2009 Cherkassky V, Dai W. Empirical study of the universum SVM learning for high-dimensional data Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 5768: 932-941. DOI: 10.1007/978-3-642-04274-4_96  1
2008 Meyler A, Keller TA, Cherkassky VL, Gabrieli JD, Just MA. Modifying the brain activation of poor readers during sentence comprehension with extended remedial instruction: a longitudinal study of neuroplasticity. Neuropsychologia. 46: 2580-92. PMID 18495180 DOI: 10.1016/j.neuropsychologia.2008.03.012  0.4
2008 Koshino H, Kana RK, Keller TA, Cherkassky VL, Minshew NJ, Just MA. fMRI investigation of working memory for faces in autism: visual coding and underconnectivity with frontal areas. Cerebral Cortex (New York, N.Y. : 1991). 18: 289-300. PMID 17517680 DOI: 10.1093/cercor/bhm054  0.4
2008 Liang L, Cherkassky V. Connection between SVM+ and multi-task learning Proceedings of the International Joint Conference On Neural Networks. 2048-2054. DOI: 10.1109/IJCNN.2008.4634079  1
2008 Bai X, Cherkassky V. Gender classification of human faces using inference through contradictions Proceedings of the International Joint Conference On Neural Networks. 746-750. DOI: 10.1109/IJCNN.2008.4633879  1
2007 Cherkassky V, Hsieh W, Krasnopolsky V, Solomatine D, Valdes J. Computational intelligence in earth and environmental sciences. Neural Networks : the Official Journal of the International Neural Network Society. 20: 433. PMID 17561105 DOI: 10.1016/j.neunet.2007.05.001  1
2007 Meyler A, Keller TA, Cherkassky VL, Lee D, Hoeft F, Whitfield-Gabrieli S, Gabrieli JD, Just MA. Brain activation during sentence comprehension among good and poor readers. Cerebral Cortex (New York, N.Y. : 1991). 17: 2780-7. PMID 17317678 DOI: 10.1093/cercor/bhm006  0.4
2007 Just MA, Cherkassky VL, Keller TA, Kana RK, Minshew NJ. Functional and anatomical cortical underconnectivity in autism: evidence from an FMRI study of an executive function task and corpus callosum morphometry. Cerebral Cortex (New York, N.Y. : 1991). 17: 951-61. PMID 16772313 DOI: 10.1093/cercor/bhl006  0.4
2007 Liang L, Cherkassky V. Learning using structured data: Application to fMRI data analysis Ieee International Conference On Neural Networks - Conference Proceedings. 495-499. DOI: 10.1109/IJCNN.2007.4371006  1
2007 Xiong T, Bit J, Rao B, Cherkassky V. Probabilistic joint feature selection for multi-task learning Proceedings of the 7th Siam International Conference On Data Mining. 332-342.  1
2006 Cherkassky VL, Kana RK, Keller TA, Just MA. Functional connectivity in a baseline resting-state network in autism. Neuroreport. 17: 1687-90. PMID 17047454 DOI: 10.1097/01.wnr.0000239956.45448.4c  0.4
2006 Kana RK, Keller TA, Cherkassky VL, Minshew NJ, Just MA. Sentence comprehension in autism: thinking in pictures with decreased functional connectivity. Brain : a Journal of Neurology. 129: 2484-93. PMID 16835247 DOI: 10.1093/brain/awl164  0.4
2006 Cherkassky V, Krasnopolsky V, Solomatine DP, Valdes J. Computational intelligence in earth sciences and environmental applications: Issues and challenges Neural Networks. 19: 113-121. PMID 16527457 DOI: 10.1016/j.neunet.2006.01.001  1
2006 Ye J, Xiong T, Li Q, Janardan R, Bi J, Cherkassky V, Kambhamettu C. Efficient model selection for regularized linear discriminant analysis International Conference On Information and Knowledge Management, Proceedings. 532-539. DOI: 10.1145/1183614.1183691  1
2006 Xiong T, Ye J, Cherkassky V. Kernel uncorrelated and orthogonal discriminant analysis: A unified approach Proceedings of the Ieee Computer Society Conference On Computer Vision and Pattern Recognition. 1: 125-131. DOI: 10.1109/CVPR.2006.161  1
2006 Cherkassky V, Krasnopolsky V, Solomatine D, Valdes J. 2006 Special issue: Earth Sciences and Environmental Applications of Computational IntelligenceIntroduction Neural Networks. 19: 111. DOI: 10.1016/j.neunet.2006.01.013  1
2006 Cherkassky V, Mulier F. Learning from Data: Concepts, Theory, and Methods: Second Edition Learning From Data: Concepts, Theory, and Methods: Second Edition. 1-538. DOI: 10.1002/9780470140529  1
2006 Gao H, Cherkassky V. Real-time pricing of mutual funds Ieee International Conference On Neural Networks - Conference Proceedings. 2402-2408.  1
2006 Liang L, Cherkassky V, Rottenberg DA. Spatial SVM for feature selection and fMRI activation detection Ieee International Conference On Neural Networks - Conference Proceedings. 1463-1469.  1
2005 Cherkassky V, Ma Y. Multiple model regression estimation. Ieee Transactions On Neural Networks / a Publication of the Ieee Neural Networks Council. 16: 785-98. PMID 16121721 DOI: 10.1109/TNN.2005.849836  1
2005 LaConte S, Strother S, Cherkassky V, Anderson J, Hu X. Support vector machines for temporal classification of block design fMRI data. Neuroimage. 26: 317-29. PMID 15907293 DOI: 10.1016/j.neuroimage.2005.01.048  1
2005 Koshino H, Carpenter PA, Minshew NJ, Cherkassky VL, Keller TA, Just MA. Functional connectivity in an fMRI working memory task in high-functioning autism. Neuroimage. 24: 810-21. PMID 15652316 DOI: 10.1016/j.neuroimage.2004.09.028  0.4
2005 Cherkassky V, Krasnopolsky VM, Solomatine DP, Valdés JJ. Special session panel discussion: Methodological issues in the application of learning methods to climate modeling and earth sciences Proceedings of the International Joint Conference On Neural Networks. 3: 1728. DOI: 10.1109/IJCNN.2005.1556140  1
2005 Xiong T, Cherkassky V. A combined SVM and LDA approach for classification Proceedings of the International Joint Conference On Neural Networks. 3: 1455-1459. DOI: 10.1109/IJCNN.2005.1556089  1
2005 Ma Y, Cherkassky V. Characterization of data complexity for SVM methods Proceedings of the International Joint Conference On Neural Networks. 2: 919-924. DOI: 10.1109/IJCNN.2005.1555975  1
2005 Cherkassky V, Ma Y. Support vector machines and regularization Proceedings of the Seventh Iasted International Conference On Signal and Image Processing, Sip 2005. 166-171.  1
2005 Xiong T, Ye J, Li Q, Cherkassky V, Janardan R. Efficient kernel discriminant analysis via QR decomposition Advances in Neural Information Processing Systems 1
2004 Wechsler H, Duric Z, Li F, Cherkassky V. Motion estimation using Statistical Learning Theory. Ieee Transactions On Pattern Analysis and Machine Intelligence. 26: 466-78. PMID 15382651 DOI: 10.1109/TPAMI.2004.1265862  1
2004 Just MA, Cherkassky VL, Keller TA, Minshew NJ. Cortical activation and synchronization during sentence comprehension in high-functioning autism: evidence of underconnectivity. Brain : a Journal of Neurology. 127: 1811-21. PMID 15215213 DOI: 10.1093/brain/awh199  0.4
2004 Cherkassky V, Ma Y. Practical selection of SVM parameters and noise estimation for SVM regression. Neural Networks : the Official Journal of the International Neural Network Society. 17: 113-26. PMID 14690712 DOI: 10.1016/S0893-6080(03)00169-2  1
2004 Cherkassky V, Ma Y, Wechsler H. Multiple regression estimation for motion analysis and segmentation Ieee International Conference On Neural Networks - Conference Proceedings. 4: 2547-2552. DOI: 10.1109/IJCNN.2004.1381043  1
2004 Cherkassky V, Ma Y. Comparison of loss functions for linear regression Ieee International Conference On Neural Networks - Conference Proceedings. 1: 395-400.  1
2003 Cherkassky V, Ma Y. Comparison of model selection for regression. Neural Computation. 15: 1691-714. PMID 12816572 DOI: 10.1162/089976603321891864  1
2003 Ma Y, Cherkassky V. Multiple Model Classification Using SVM-based Approach Proceedings of the International Joint Conference On Neural Networks. 2: 1581-1586.  1
2003 Cherkassky V, Ma Y, Tang J. Model Selection for K-Nearest Neighbors Regression Using VC Bounds Proceedings of the International Joint Conference On Neural Networks. 2: 1143-1148.  1
2003 Duric Z, Li F, Wechsler H, Cherkassky V. Controlling model complexity in flow estimation Proceedings of the Ieee International Conference On Computer Vision. 2: 908-914.  1
2002 Cherkassky V, Ma Y. Selection of meta-parameters for support vector regression Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2415: 687-693.  1
2002 Wechsler H, Duric Z, Fayin L, Cherkassky VS. Motion prediction using VC-generalization bounds Proceedings - International Conference On Pattern Recognition. 16: 151-154.  1
2001 Cherkassky V, Kilts S. Myopotential denoising of ECG signals using wavelet thresholding methods Neural Networks. 14: 1129-1137. PMID 11681756  1
2001 Cherkassky V, Shao X. Signal estimation and denoising using VC-theory Neural Networks. 14: 37-52. PMID 11213212 DOI: 10.1016/S0893-6080(00)00078-2  1
2001 Cherkassky V, Kilts S. Comparison of wavelet thresholding methods for denoising ECG signals Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2130: 625-630. DOI: 10.1007/3-540-44668-0_87  1
2001 Shao J, Cherkassky V. Improved VC-based signal denoising Proceedings of the International Joint Conference On Neural Networks. 4: 2439-2444.  1
2000 Shao X, Cherkassky V, Li W. Measuring the VC-dimension using optimized experimental design Neural Computation. 12: 1969-1986. PMID 10953247  1
2000 Singh R, Cherkassky V, Papanikolopoulos N. Self-organizing maps for the skeletonization of sparse shapes Ieee Transactions On Neural Networks. 11: 241-248. DOI: 10.1109/72.822527  1
2000 Zhong S, Cherkassky V. Image denoising using wavelet thresholding and model selection Ieee International Conference On Image Processing. 3.  1
1999 Cherkassky V, Shao X, Mulier FM, Vapnik VN. Model complexity control for regression using VC generalization bounds. Ieee Transactions On Neural Networks / a Publication of the Ieee Neural Networks Council. 10: 1075-89. PMID 18252610 DOI: 10.1109/72.788648  1
1999 Cherkassky V, Mulier F. Vapnik-Chervonenkis (VC) learning theory and its applications Ieee Transactions On Neural Networks. 10: 985-987. DOI: 10.1109/TNN.1999.788639  1
1996 Cherkassky V, Gehring D, Mulier F. Comparison of adaptive methods for function estimation from samples Ieee Transactions On Neural Networks. 7: 969-984. DOI: 10.1109/72.508939  1
1995 Mulier F, Cherkassky V. Self-organization as an iterative kernel smoothing process Neural Computation. 7: 1165-1177. PMID 7584895  1
1995 Rooholamini R, Cherkassky V. ATM-Based Multimedia Servers Ieee Multimedia. 2: 39-52. DOI: 10.1109/93.368600  1
1995 Mulier FM, Cherkassky VS. Statistical analysis of self-organization Neural Networks. 8: 717-727. DOI: 10.1016/0893-6080(95)00018-U  1
1994 Park YK, Cherkassky V. Neural network for control of rearrangeable Clos networks International Journal of Neural Systems. 5: 195-205. PMID 7866625  1
1994 Chen CIH, Cherkassky V. Task allocation and reallocation for fault tolerance in Multicomputer Systems Ieee Transactions On Aerospace and Electronic Systems. 30: 1094-1104. DOI: 10.1109/7.328753  1
1994 Raghunath KJ, Cherkassky V. Noise Performance of Linear Associative Memories Ieee Transactions On Pattern Analysis and Machine Intelligence. 16: 757-765. DOI: 10.1109/34.297959  1
1994 Rooholamini R, Cherkassky V, Garver M. Finding the Right ATM Switch for the Market Computer. 27: 16-28. DOI: 10.1109/2.274995  1
1993 Park YK, Cherkassky V. Neural network controller for rearrangeable switching networks Ieee International Conference On Neural Networks - Conference Proceedings. 1993: 1896-1901. DOI: 10.1109/ICNN.1993.298846  1
1992 Cherkassky V, Lari-Naiafi H. Data representation for diagnostic neural networks Ieee Expert-Intelligent Systems and Their Applications. 7: 43-53. DOI: 10.1109/64.163672  1
1992 Cherkassky V, Lim EP. Two approaches to knowledge representation and reasoning Ieee Expert-Intelligent Systems and Their Applications. 7: 31-40. DOI: 10.1109/64.153462  1
1992 Cherkassky V, Chen CIH. Redundant Task-Allocation in Multicomputer Systems Ieee Transactions On Reliability. 41: 336-342. DOI: 10.1109/24.159795  1
1992 Cherkassky V, Vassilas N, Brodt GL, Wechsler H. Conventional and associative memory approaches to automatic spelling correction Engineering Applications of Artificial Intelligence. 5: 223-237. DOI: 10.1016/0952-1976(92)90006-6  1
1991 Mohideen S, Cherkassky V. On Recursive Calculation of the Generalized Inverse of a Matrix Acm Transactions On Mathematical Software (Toms). 17: 130-147. DOI: 10.1145/103147.103160  1
1991 Zhou DN, Cherkassky V, Baldwin TR, Olson DE. A Neural Network Approach to Job-Shop Scheduling Ieee Transactions On Neural Networks. 2: 175-179. DOI: 10.1109/72.80311  1
1991 Cherkassky V, Fassett K, Vassilas N. Linear Algebra Approach to Neural Associative Memories and Noise Performance of Neural Classifiers Ieee Transactions On Computers. 40: 1429-1435. DOI: 10.1109/12.106229  1
1991 Cherkassky V, Lari-Najafi H. Constrained topological mapping for nonparametric regression analysis Neural Networks. 4: 27-40. DOI: 10.1016/0893-6080(91)90028-4  1
1991 Cherkassky V, Rao M, Wechsler H. Fault-tolerant database using distributed associative memories Information Sciences. 53: 135-158. DOI: 10.1016/0020-0255(91)90061-X  1
1990 Cherkassky V, Lari-Najafi H, Lawrie NL, Masson D, Pritty DW. Performance of a new LAN for real-time traffic Computer Communications. 13: 259-266. DOI: 10.1016/0140-3664(90)90013-7  1
1990 Zhou DN, Cherkassky V, Baldwin TR, Hong DW. Scaling neural network for job-shop scheduling Ijcnn. International Joint Conference On Neural Networks. 889-894.  1
1989 Cherkassky V, Malek M. A Measure of Graceful Degradation in Parallel-Computer Systems Ieee Transactions On Reliability. 38: 76-81. DOI: 10.1109/24.24577  1
1989 Cherkassky V, Malek M. Partitioning and Permuting Properties of CC-Banyan Networks Ieee Transactions On Computers. 38: 274-278. DOI: 10.1109/12.16504  1
1989 Mohideen S, Cherkassky V, Wechsler H. Computation of the distributed associative memory and numerical stability of the generalized inverse matrix Ijcnn Int Jt Conf Neural Network. 582.  1
1988 Cherkassky VS. Performance Evaluation of Nonrectangular Multistage Interconnection Networks Ieee Transactions On Computers. 37: 1269-1272. DOI: 10.1109/12.5987  1
1988 Char JM, Cherkassky V, Wechsler H. Distributed processing for database design Neural Networks. 1: 429. DOI: 10.1016/0893-6080(88)90453-4  1
1988 Cherkassky V, Smith R. Efficient mapping and implementation of matrix algorithms on a hypercube The Journal of Supercomputing. 2: 7-27. DOI: 10.1007/BF00127846  1
1988 Cherkassky V, Lari-Najafi H, Lawrie NL, Masson D, Pritty DW. Architectural development and performance of a real time lan Proceedings - International Conference On Distributed Computing Systems. 8: 189-196.  1
1988 Cherkassky V, Lari-Najaffi H, Lawrie NL, Masson D, Pritty DW. PERFORMANCE OF A REAL TIME LAN ARCHITECTURE FOR SENSOR FUSION APPLICATIONS Proceedings - Computer Networking Symposium. 120-128.  1
1987 Cherkassky V, Malek M. GRACEFUL DEGRADATION OF MULTIPROCESSOR SYSTEMS Proceedings of the International Conference On Parallel Processing. 885-888.  1
1985 Cherkassky V, Malek M. Reliability and Fail-Softness Analysis of Multistage Interconnection Networks Ieee Transactions On Reliability. 524-528. DOI: 10.1109/TR.1985.5222255  1
1985 Cherkassky V, Malek M. On Permuting Properties of Regular Rectangular SW-Banyans Ieee Transactions On Computers. 542-546. DOI: 10.1109/TC.1985.5009405  1
1984 Cherkassky V, Opper E, Malek M. RELIABILITY AND FAULT DIAGNOSIS ANALYSIS OF FAULT-TOLERANT MULTISTAGE INTERCONNECTION NETWORKS Digest of Papers - Ftcs (Fault-Tolerant Computing Symposium). 246-251.  1
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