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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
12912008
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
7192014
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
5052016
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
4542015
Cost-sensitive learning and the class imbalance problem
CX Ling, VS Sheng
Encyclopedia of machine learning 2011, 231-235, 2008
439*2008
Structural minimax probability machine
B Gu, X Sun, VS Sheng
IEEE Transactions on Neural Networks and Learning Systems 28 (7), 1646-1656, 2016
3502016
Learning weighted naive Bayes with accurate ranking
H Zhang, S Sheng
Fourth IEEE International Conference on Data Mining (ICDM'04), 567-570, 2004
2592004
" 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
2352005
Graph Contextualized Self-Attention Network for Session-based Recommendation.
C Xu, P Zhao, Y Liu, VS Sheng, J Xu, F Zhuang, J Fang, X Zhou
IJCAI 19, 3940-3946, 2019
2322019
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), 2013
1962013
Repeated labeling using multiple noisy labelers
PG Ipeirotis, F Provost, VS Sheng, J Wang
Data Mining and Knowledge Discovery 28 (2), 402-441, 2014
1882014
Thresholding for making classifiers cost-sensitive
VS Sheng, CX Ling
Aaai 6, 476-81, 2006
1832006
Where to go next: A spatio-temporal gated network for next poi recommendation
P Zhao, A Luo, Y Liu, F Zhuang, J Xu, Z Li, VS Sheng, X Zhou
IEEE Transactions on Knowledge and Data Engineering, 2020
1752020
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
1712006
Learning from crowdsourced labeled data: a survey
J Zhang, X Wu, VS Sheng
Artificial Intelligence Review 46 (4), 543-576, 2016
1192016
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
1172018
A method for improving CNN-based image recognition using DCGAN
W Fang, F Zhang, VS Sheng, Y Ding
Computers, Materials and Continua 57 (1), 167-178, 2018
952018
Liver CT sequence segmentation based with improved U-Net and graph cut
Z Liu, YQ Song, VS Sheng, L Wang, R Jiang, X Zhang, D Yuan
Expert Systems with Applications 126, 54-63, 2019
842019
Active learning with imbalanced multiple noisy labeling
J Zhang, X Wu, VS Shengs
IEEE transactions on cybernetics 45 (5), 1095-1107, 2014
822014
Feature-level Deeper Self-Attention Network for Sequential Recommendation.
T Zhang, P Zhao, Y Liu, VS Sheng, J Xu, D Wang, G Liu, X Zhou
IJCAI, 4320-4326, 2019
772019
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