| Single valued neutrosophic sets H Wang, F Smarandache, Y Zhang, R Sunderraman the 10th International Conference on Fuzzy Theory and Technology (FTT 2005 …, 2005 | 1326* | 2005 |
| 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 | 822 | 2008 |
| interval neutrosophic sets and logic: theory and applications in computing H Wang, F Smarandache, R Sunderraman, Y Zhang Infinite Study, 2005 | 689 | 2005 |
| 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 | 309 | 2015 |
| 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 | 211 | 2007 |
| A genetic algorithm-based method for feature subset selection F Tan, X Fu, Y Zhang, AG Bourgeois Soft Computing 12 (2), 111-120, 2008 | 192 | 2008 |
| 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 | 188 | 2002 |
| Compensatory neurofuzzy systems with fast learning algorithms Y Zhang, A Kandel IEEE Transactions on Neural Networks 9 (1), 83-105, 1998 | 188 | 1998 |
| 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 | 118 | 2000 |
| Stability analysis of fuzzy control systems A Kandel, Y Luo, Y Zhang Fuzzy sets and systems 105 (1), 33-48, 1999 | 85 | 1999 |
| 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 | 84 | 2007 |
| 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 | 83 | 2005 |
| Machine learning in bioinformatics Y Zhang, JC Rajapakse John Wiley & Sons, 2008 | 80 | 2008 |
| Compensatory genetic fuzzy neural networks and their applications Y Zhang, A Kandel World Scientific, 1998 | 77 | 1998 |
| Type-2 fuzzy logic-based classifier fusion for support vector machines X Chen, Y Li, R Harrison, Y Zhang Applied Soft Computing 8 (3), 1222-1231, 2008 | 76 | 2008 |
| Evolutionary fuzzy neural networks for hybrid financial prediction L Yu, Y Zhang IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and …, 2005 | 74 | 2005 |
| Granular support vector machines for medical binary classification problems Y Tang, B Jin, Y Sun, Y Zhang 2004 IEEE Symposium on Computational Intelligence in Bioinformatics and …, 2004 | 72 | 2004 |
| Statistical fuzzy interval neural networks for currency exchange rate time series prediction Y Zhang, X Wan Applied Soft Computing 7 (4), 1149-1156, 2007 | 71 | 2007 |
| An adaptive genetic fuzzy multi-path routing protocol for wireless ad-hoc networks H Liu, J Li, Y Zhang, Y Pan the First ACIS International Workshop on Self-Assembling Wireless Networks …, 2005 | 69 | 2005 |
| 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 | 65 | 2018 |
