| 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 | 1231 | 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 | 1141 | 2008 |
| 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 | 668 | 2015 |
| 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 | 411 | 2018 |
| 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 | 411 | 2018 |
| A genetic algorithm-based method for feature subset selection F Tan, X Fu, Y Zhang, AG Bourgeois Soft Computing 12, 111-120, 2008 | 294 | 2008 |
| 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 | 254 | 2007 |
| 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 | 248 | 2002 |
| Using Word2Vec to Process Big Text Data L Ma, Y Zhang 2015 IEEE International Conference on Big Data, 2895-2897, 2015 | 241 | 2015 |
| 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 | 215 | 2017 |
| Compensatory neurofuzzy systems with fast learning algorithms Y Zhang, A Kandel IEEE Transactions on Neural Networks 9 (1), 83-105, 1998 | 203 | 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 | 130 | 2000 |
| 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 | 109 | 2016 |
| 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 | 98 | 2007 |
| Stability analysis of fuzzy control systems A Kandel, Y Luo, Y Zhang Fuzzy sets and systems 105 (1), 33-48, 1999 | 93 | 1999 |
| 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 | 91 | 2005 |
| Interval Neutrosophic Sets HB Wang, P Madiraju, Y Zhang, R Sunderraman International Journal of Applied Mathematics & Statistics 3 (M05), 1-18, 2005 | 91 | 2005 |
| 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 | 88 | 2018 |
