Victor S. Sheng
Victor S. Sheng
Professor of Computer Science, Texas Tech University
Verified email at ttu.edu - Homepage
Title
Cited by
Cited by
Year
Get another label? improving data quality and data mining using multiple, noisy labelers
VS Sheng, F Provost, PG Ipeirotis
Proceedings of the 14th ACM SIGKDD international conference on Knowledge …, 2008
10992008
Incremental support vector learning for ordinal regression
B Gu, VS Sheng, KY Tay, W Romano, S Li
IEEE Transactions on Neural networks and learning systems 26 (7), 1403-1416, 2014
6782014
A Robust Regularization Path Algorithm for -Support Vector Classification
B Gu, VS Sheng
IEEE Transactions on neural networks and learning systems 28 (5), 1241-1248, 2016
4722016
Incremental learning for ν-support vector regression
B Gu, VS Sheng, Z Wang, D Ho, S Osman, S Li
Neural networks 67, 140-150, 2015
4182015
Structural minimax probability machine
B Gu, X Sun, VS Sheng
IEEE Transactions on Neural Networks and Learning Systems 28 (7), 1646-1656, 2016
3402016
Cost-sensitive learning and the class imbalance problem
CX Ling, VS Sheng
Encyclopedia of machine learning 2011, 231-235, 2008
278*2008
" Missing is useful": missing values in cost-sensitive decision trees
S Zhang, Z Qin, CX Ling, S Sheng
IEEE transactions on knowledge and data engineering 17 (12), 1689-1693, 2005
2122005
Learning weighted naive Bayes with accurate ranking
H Zhang, S Sheng
Fourth IEEE International Conference on Data Mining (ICDM'04), 567-570, 2004
2112004
A Comparative Study of SIFT and its Variants
J Wu, Z Cui, VS Sheng, P Zhao, D Su, S Gong
Measurement science review 13 (3), 122-131, 2013
1702013
Repeated labeling using multiple noisy labelers
PG Ipeirotis, F Provost, VS Sheng, J Wang
Data Mining and Knowledge Discovery 28 (2), 402-441, 2014
1522014
Test strategies for cost-sensitive decision trees
CX Ling, VS Sheng, Q Yang
IEEE Transactions on Knowledge and Data Engineering 18 (8), 1055-1067, 2006
1452006
Thresholding for making classifiers cost-sensitive
VS Sheng, CX Ling
AAAI, 476-481, 2006
1332006
A fusion steganographic algorithm based on faster R-CNN
R Meng, SG Rice, J Wang, X Sun
Computers, Materials & Continua 55 (1), 1-16, 2018
1082018
An abnormal network flow feature sequence prediction approach for DDoS attacks detection in big data environment
J Cheng, R Xu, X Tang, VS Sheng, C Cai
Comput. Mater. Continua 55 (1), 95-119, 2018
932018
Feature value acquisition in testing: a sequential batch test algorithm
VS Sheng, CX Ling
Proceedings of the 23rd international conference on Machine learning, 809-816, 2006
672006
Learning from crowdsourced labeled data: a survey
J Zhang, X Wu, VS Sheng
Artificial Intelligence Review 46 (4), 543-576, 2016
652016
Bi-parameter space partition for cost-sensitive SVM
B Gu, VS Sheng, S Li
Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015
562015
A method for improving CNN-based image recognition using DCGAN
W Fang, F Zhang, VS Sheng, Y Ding
CMC: Comput. Mater. Continua 57 (1), 167-178, 2018
542018
Active learning with imbalanced multiple noisy labeling
J Zhang, X Wu, VS Shengs
IEEE transactions on cybernetics 45 (5), 1095-1107, 2014
542014
Feasibility and Finite Convergence Analysis for Accurate On-Line-Support Vector Machine
B Gu, VS Sheng
IEEE Transactions on Neural Networks and Learning Systems 24 (8), 1304-1315, 2013
452013
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