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Yanqing Zhang
Yanqing Zhang
Professor of Computer Science, Georgia State University
在 gsu.edu 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
Single valued neutrosophic sets
H Wang, F Smarandache, Y Zhang, R Sunderraman
the 10th International Conference on Fuzzy Theory and Technology (FTT 2005 …, 2005
2750*2005
interval neutrosophic sets and logic: theory and applications in computing
H Wang, F Smarandache, R Sunderraman, Y Zhang
Infinite Study, 2005
12312005
SVMs modeling for highly imbalanced classification
Y Tang, Y Zhang, NV Chawla, S Krasser
IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 39 …, 2008
11412008
Support vector machines and word2vec for text classification with semantic features
J Lilleberg, Y Zhu, Y Zhang
2015 IEEE 14th International Conference on Cognitive Informatics & Cognitive …, 2015
6682015
Brain MRI Analysis for Alzheimer’s Disease Diagnosis Using an Ensemble System of Deep Convolutional Neural Networks
J Islam, Y Zhang
2018 International Conference on Brain Informatics (BI 2018), 2018
4112018
Brain MRI Analysis for Alzheimer's Disease Diagnosis Using an Ensemble System of Deep Convolutional Neural Networks
J Islam, Y Zhang
Brain Informatics 5 (2), 2018
4112018
A genetic algorithm-based method for feature subset selection
F Tan, X Fu, Y Zhang, AG Bourgeois
Soft Computing 12, 111-120, 2008
2942008
Development of two-stage SVM-RFE gene selection strategy for microarray expression data analysis
Y Tang, Y Zhang, Z Huang
IEEE/ACM Transactions on Computational Biology and Bioinformatics 4 (3), 365-381, 2007
2542007
Parallel granular neural networks for fast credit card fraud detection
M Syeda, Y Zhang, Y Pan
2002 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE2002) 1, 572-577, 2002
2482002
Using Word2Vec to Process Big Text Data
L Ma, Y Zhang
2015 IEEE International Conference on Big Data, 2895-2897, 2015
2412015
A novel deep learning based multi-class classification method for Alzheimer’s disease detection using brain MRI data
J Islam, Y Zhang
Brain Informatics: International Conference, BI 2017, Beijing, China …, 2017
2152017
Compensatory neurofuzzy systems with fast learning algorithms
Y Zhang, A Kandel
IEEE Transactions on Neural Networks 9 (1), 83-105, 1998
2031998
Granular neural networks for numerical-linguistic data fusion and knowledge discovery
Y Zhang, MD Fraser, RA Gagliano, A Kandel
IEEE transactions on neural networks 11 (3), 658-667, 2000
1302000
Visual Sentiment Analysis for Social Images Using Transfer Learning Approach
J Islam, Y Zhang
The 6th IEEE International Conference on Big Data and Cloud Computing …, 2016
1092016
Machine learning in bioinformatics
Y Zhang, JC Rajapakse
John Wiley & Sons, 2008
107*2008
Support vector machines with genetic fuzzy feature transformation for biomedical data classification
B Jin, YC Tang, Y Zhang
Information Sciences 177 (2), 476-489, 2007
982007
Stability analysis of fuzzy control systems
A Kandel, Y Luo, Y Zhang
Fuzzy sets and systems 105 (1), 33-48, 1999
931999
Granular support vector machines with association rules mining for protein homology prediction
Y Tang, B Jin, Y Zhang
Artificial Intelligence in Medicine 35 (1-2), 121-134, 2005
912005
Interval Neutrosophic Sets
HB Wang, P Madiraju, Y Zhang, R Sunderraman
International Journal of Applied Mathematics & Statistics 3 (M05), 1-18, 2005
912005
Early Diagnosis of Alzheimer's Disease: A Neuroimaging Study with Deep Learning Architectures
J Islam, Y Zhang
the 4th Women in Computer Vision (WiCV) Workshop with 2018 IEEE conference …, 2018
882018
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