| Predicting vulnerable software components through n-gram analysis and statistical feature selection Y Pang, X Xue, AS Namin 2015 IEEE 14th International Conference on Machine Learning and Applications …, 2015 | 103 | 2015 |
| Predicting vulnerable software components through deep neural network Y Pang, X Xue, H Wang Proceedings of the 2017 International Conference on Deep Learning …, 2017 | 97 | 2017 |
| Identifying effective test cases through k-means clustering for enhancing regression testing Y Pang, X Xue, AS Namin 2013 12th International Conference on Machine Learning and Applications 2, 78-83, 2013 | 48 | 2013 |
| Evaluating agricultural management practices to improve the environmental footprint of corn-derived ethanol X Xue, YL Pang, AE Landis Renewable energy 66, 454-460, 2014 | 43 | 2014 |
| Trimming Test Suites with Coincidentally Correct Test Cases for Enhancing Fault Localizations X Xue, Y Pang, AS Namin Computer Software and Applications Conference (COMPSAC), 2014 IEEE 38th Annual, 2014 | 43 | 2014 |
| CT-free attenuation correction for dedicated cardiac SPECT using a 3D dual squeeze-and-excitation residual dense network X Chen, B Zhou, L Shi, H Liu, Y Pang, R Wang, EJ Miller, AJ Sinusas, ... Journal of Nuclear Cardiology 29 (5), 2235-2250, 2022 | 40 | 2022 |
| A clustering-based grouping model for enhancing collaborative learning Y Pang, F Xiao, H Wang, X Xue 2014 13th International Conference on Machine Learning and Applications, 562-567, 2014 | 32 | 2014 |
| Power law and stretched exponential effects of extreme events in Chinese stock markets X Zhao, P Shang, Y Pang Fluctuation and Noise Letters 9 (02), 203-217, 2010 | 32 | 2010 |
| Predicting students' graduation outcomes through support vector machines Y Pang, N Judd, J O'Brien, M Ben-Avie 2017 IEEE Frontiers in Education Conference (FIE), 1-8, 2017 | 27 | 2017 |
| Comparing machine learning approaches for predicting spatially explicit life cycle global warming and eutrophication impacts from corn production XX Romeiko, Z Guo, Y Pang, EK Lee, X Zhang Sustainability 12 (4), 1481, 2020 | 23 | 2020 |
| Early identification of vulnerable software components via ensemble learning Y Pang, X Xue, AS Namin 2016 15th IEEE International Conference on Machine Learning and Applications …, 2016 | 18 | 2016 |
| Feature selections for effectively localizing faulty events in gui applications X Xue, Y Pang, AS Namin 2014 13th International Conference on Machine Learning and Applications, 306-311, 2014 | 15 | 2014 |
| Comparison of support vector machine and gradient boosting regression tree for predicting spatially explicit life cycle global warming and eutrophication impacts: A case study … XX Romeiko, Z Guo, Y Pang 2019 IEEE International Conference on Big Data (Big Data), 3277-3284, 2019 | 11 | 2019 |
| Coverage-based lossy node localization for wireless sensor networks FS Bao, Y Pang, WJ Zhou, W Jiang, Y Yang, Y Liu, C Qian IEEE Sensors Journal 16 (11), 4648-4656, 2016 | 10 | 2016 |
| Constructing collaborative learning groups with maximum diversity requirements Y Pang, R Mugno, X Xue, H Wang 2015 IEEE 15th International Conference on Advanced Learning Technologies, 34-38, 2015 | 10 | 2015 |
| A review of machine learning applications in life cycle assessment studies XX Romeiko, X Zhang, Y Pang, F Gao, M Xu, S Lin, C Babbitt Science of The Total Environment, 168969, 2023 | 8 | 2023 |
| A Clustering-Based Test Case Classification Technique for Enhancing Regression Testing. Y Pang, X Xue, AS Namin, YF Shi, S Kang, PP Song J. Softw. 12 (3), 153-164, 2017 | 8 | 2017 |
| Inter-pass motion correction for whole-body dynamic PET and parametric imaging X Guo, J Wu, MK Chen, Q Liu, JA Onofrey, D Pucar, Y Pang, D Pigg, ... IEEE transactions on radiation and plasma medical sciences 7 (4), 344-353, 2022 | 6 | 2022 |
| Debugging in Parallel or Sequential: An Empirical Study. Y Pang, X Xue, AS Namin J. Softw. 10 (5), 566-576, 2015 | 4 | 2015 |
| Random walk and linear switching systems Y Pang, A Wang, X Xue, CF Martin Communications in Information and Systems 12 (4), 277-299, 2012 | 4 | 2012 |
Akbar Siami NaminProfessor of Computer Science, Texas Tech University在 ttu.edu 的电子邮件经过验证
