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Yulei Pang
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2020 – today
- 2024
- [c14]Kate Narain, Yulei Pang:
Identifying Which Clients Will Cancel Their Insurance Policy Machine Learning Methods. COMPSAC 2024: 1432-1435 - 2023
- [c13]Maxwell Mai, Shuai Luo, Shue Wang, Yulei Pang:
Identification of Adipogenic and Osteogenic Differentiation using transfer learning of ResNet-18. ICMLA 2023: 916-921 - 2022
- [c12]Katherine A. Kiernan, Hao Wu, Raymond Mugno, Yulei Pang:
Application of Time Series Analysis Methods to Assess the impact of COVID-19 on Carbon Dioxide Emission Reduction in Connecticut. IEEE Big Data 2022: 4513-4519
2010 – 2019
- 2019
- [c11]Xiaobo Xue Romeiko, Zhijian Guo, Yulei Pang:
Comparison of Support Vector Machine and Gradient Boosting Regression Tree for Predicting Spatially Explicit Life Cycle Global Warming and Eutrophication Impacts: A case study in corn production. IEEE BigData 2019: 3277-3284 - 2017
- [j4]Yulei Pang, Xiaozhen Xue, Akbar Siami Namin:
Fault Localizations Through Feature Selections. Int. J. Softw. Eng. Knowl. Eng. 27(8): 1269-1290 (2017) - [j3]Yulei Pang, Xiaozhen Xue, Akbar Siami Namin:
A Clustering-Based Test Case Classification Technique for Enhancing Regression Testing. J. Softw. 12(3): 153-164 (2017) - [c10]Yulei Pang, Nicolas Judd, Joseph O'Brien, Michael Ben-Avie:
Predicting students' graduation outcomes through support vector machines. FIE 2017: 1-8 - [c9]Yulei Pang, Xiaozhen Xue, Huaying Wang:
Predicting Vulnerable Software Components through Deep Neural Network. ICDLT 2017: 6-10 - 2016
- [c8]Yulei Pang, Xiaozhen Xue, Akbar Siami Namin:
Early Identification of Vulnerable Software Components via Ensemble Learning. ICMLA 2016: 476-481 - 2015
- [j2]Yulei Pang, Xiaozhen Xue, Akbar Siami Namin:
Debugging in Parallel or Sequential: An Empirical Study. J. Softw. 10(5): 566-576 (2015) - [c7]Yulei Pang, Raymond Mugno, Xiaozhen Xue:
Diversity and anxiety: A case study on collaborative testing. FIE 2015: 1-4 - [c6]Yulei Pang, Raymond Mugno, Xiaozhen Xue, Huaying Wang:
Constructing Collaborative Learning Groups with Maximum Diversity Requirements. ICALT 2015: 34-38 - [c5]Yulei Pang, Xiaozhen Xue, Akbar Siami Namin:
Predicting Vulnerable Software Components through N-Gram Analysis and Statistical Feature Selection. ICMLA 2015: 543-548 - 2014
- [c4]Xiaozhen Xue, Yulei Pang, Akbar Siami Namin:
Trimming Test Suites with Coincidentally Correct Test Cases for Enhancing Fault Localizations. COMPSAC 2014: 239-244 - [c3]Xiaozhen Xue, Yulei Pang, Akbar Siami Namin:
Feature Selections for Effectively Localizing Faulty Events in GUI Applications. ICMLA 2014: 306-311 - [c2]Yulei Pang, Feiya Xiao, Huaying Wang, Xiaozhen Xue:
A Clustering-Based Grouping Model for Enhancing Collaborative Learning. ICMLA 2014: 562-567 - 2013
- [c1]Yulei Pang, Xiaozhen Xue, Akbar Siami Namin:
Identifying Effective Test Cases through K-Means Clustering for Enhancing Regression Testing. ICMLA (2) 2013: 78-83 - 2012
- [j1]Yulei Pang, Alex Wang, Xiaozhen Xue, Clyde F. Martin:
Random walk and linear switching systems. Commun. Inf. Syst. 12(4): 277-299 (2012)
Coauthor Index
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