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Kehan Gao
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2010 – 2019
- 2015
- [j18]Kehan Gao, Taghi M. Khoshgoftaar, Amri Napolitano:
Investigating Two Approaches for Adding Feature Ranking to Sampled Ensemble Learning for Software Quality Estimation. Int. J. Softw. Eng. Knowl. Eng. 25(1): 115-146 (2015) - [j17]Kehan Gao, Taghi M. Khoshgoftaar, Amri Napolitano:
Aggregating Data Sampling with Feature Subset Selection to Address Skewed Software Defect Data. Int. J. Softw. Eng. Knowl. Eng. 25(9-10): 1531-1550 (2015) - [c35]Kehan Gao, Taghi M. Khoshgoftaar, Amri Napolitano:
Combining Feature Subset Selection and Data Sampling for Coping with Highly Imbalanced Software Data. SEKE 2015: 439-444 - 2014
- [j16]Kehan Gao, Taghi M. Khoshgoftaar, Amri Napolitano:
The Use of Ensemble-Based Data Preprocessing Techniques for Software Defect Prediction. Int. J. Softw. Eng. Knowl. Eng. 24(9): 1229-1254 (2014) - [j15]Zhiwei Xu
, Kehan Gao, Taghi M. Khoshgoftaar, Naeem Seliya:
System regression test planning with a fuzzy expert system. Inf. Sci. 259: 532-543 (2014) - [j14]Taghi M. Khoshgoftaar, Yudong Xiao, Kehan Gao:
Software quality assessment using a multi-strategy classifier. Inf. Sci. 259: 555-570 (2014) - [j13]Taghi M. Khoshgoftaar, Kehan Gao, Amri Napolitano, Randall Wald:
A comparative study of iterative and non-iterative feature selection techniques for software defect prediction. Inf. Syst. Frontiers 16(5): 801-822 (2014) - [c34]Kehan Gao, Taghi M. Khoshgoftaar, Randall Wald:
Combining Feature Selection and Ensemble Learning for Software Quality Estimation. FLAIRS 2014 - [c33]Taghi M. Khoshgoftaar, Kehan Gao, Amri Napolitano:
Improving software quality estimation by combining feature selection strategies with sampled ensemble learning. IRI 2014: 428-433 - [c32]Kehan Gao, Taghi M. Khoshgoftaar, Amri Napolitano:
Comparing Two Approaches for Adding Feature Ranking to Sampled Ensemble Learning for Software Quality Estimation. SEKE 2014: 280-285 - 2013
- [c31]Zhiwei Xu
A novel fuzzy classification to enhance software regression testing. CIDM 2013: 53-58 - [c30]Kehan Gao, Taghi M. Khoshgoftaar, Amri Napolitano:
Improving Software Quality Estimation by Combining Boosting and Feature Selection. ICMLA (1) 2013: 27-33 - [c29]Kehan Gao, Taghi M. Khoshgoftaar, Amri Napolitano:
Exploring Ensemble-Based Data Preprocessing Techniques for Software Quality Estimation. SEKE 2013: 612-617 - 2012
- [j12]Kehan Gao, Taghi M. Khoshgoftaar, Huanjing Wang:
Exploring filter-based feature selection techniques for software quality classification. Int. J. Inf. Decis. Sci. 4(2/3): 217-250 (2012) - [j11]Taghi M. Khoshgoftaar, Kehan Gao, Amri Napolitano:
An Empirical Study of Feature Ranking Techniques for Software Quality Prediction. Int. J. Softw. Eng. Knowl. Eng. 22(2): 161-183 (2012) - [j10]Kehan Gao, Taghi M. Khoshgoftaar, Naeem Seliya:
Predicting high-risk program modules by selecting the right software measurements. Softw. Qual. J. 20(1): 3-42 (2012) - [c28]Kehan Gao, Taghi M. Khoshgoftaar, Amri Napolitano:
A Hybrid Approach to Coping with High Dimensionality and Class Imbalance for Software Defect Prediction. ICMLA (2) 2012: 281-288 - [c27]Kehan Gao, Haibin Duan, Yan Xu, Yang Zhang, Zhuoshu Li:
Artificial Bee Colony approach to parameters optimization of Pulse Coupled Neural Networks. INDIN 2012: 128-132 - [c26]Taghi M. Khoshgoftaar, Kehan Gao, Amri Napolitano:
Exploring an iterative feature selection technique for highly imbalanced data sets. IRI 2012: 101-108 - [c25]Kehan Gao, Taghi M. Khoshgoftaar, Amri Napolitano:
Stability of Filter-Based Feature Selection Methods for Imbalanced Software Measurement Data. SEKE 2012: 74-79 - 2011
- [j9]Huanjing Wang, Taghi M. Khoshgoftaar, Jason Van Hulse, Kehan Gao:
Metric Selection for Software Defect Prediction. Int. J. Softw. Eng. Knowl. Eng. 21(2): 237-257 (2011) - [j8]Kehan Gao, Taghi M. Khoshgoftaar, Huanjing Wang, Naeem Seliya:
Choosing software metrics for defect prediction: an investigation on feature selection techniques. Softw. Pract. Exp. 41(5): 579-606 (2011) - [c24]Kehan Gao, Taghi M. Khoshgoftaar, Amri Napolitano:
Impact of Data Sampling on Stability of Feature Selection for Software Measurement Data. ICTAI 2011: 1004-1011 - [c23]Taghi M. Khoshgoftaar, Kehan Gao, Amri Napolitano:
A Comparative Study of Different Strategies for Predicting Software Quality. SEKE 2011: 65-70 - [c22]Kehan Gao, Taghi M. Khoshgoftaar:
Software Defect Prediction for High-Dimensional and Class-Imbalanced Data. SEKE 2011: 89-94 - 2010
- [c21]Taghi M. Khoshgoftaar, Kehan Gao, Amri Napolitano:
An Empirical Study of Predictive Modeling Techniques of Software Quality. BIONETICS 2010: 288-302 - [c20]Kehan Gao, Taghi M. Khoshgoftaar, Jason Van Hulse:
An Evaluation of Sampling on Filter-Based Feature Selection Methods. FLAIRS 2010 - [c19]Taghi M. Khoshgoftaar, Kehan Gao, Naeem Seliya:
Attribute Selection and Imbalanced Data: Problems in Software Defect Prediction. ICTAI (1) 2010: 137-144 - [c18]Huanjing Wang, Taghi M. Khoshgoftaar, Kehan Gao:
A comparative study of filter-based feature ranking techniques. IRI 2010: 43-48 - [c17]Taghi M. Khoshgoftaar, Kehan Gao, Jason Van Hulse:
A novel feature selection technique for highly imbalanced data. IRI 2010: 80-85 - [c16]Taghi M. Khoshgoftaar, Kehan Gao:
Software Engineering with Computational Intelligence and Machine Learning A Novel Software Metric Selection Technique Using the Area Under ROC Curves. SEKE 2010: 203-208 - [c15]Huanjing Wang, Taghi M. Khoshgoftaar, Kehan Gao:
Ensemble Feature Selection Technique for Software Quality Classification. SEKE 2010: 215-220
2000 – 2009
- 2009
- [c14]Huanjing Wang, Taghi M. Khoshgoftaar, Kehan Gao, Naeem Seliya:
Mining Data from Multiple Software Development Projects. ICDM Workshops 2009: 551-557 - [c13]Taghi M. Khoshgoftaar, Kehan Gao:
Feature Selection with Imbalanced Data for Software Defect Prediction. ICMLA 2009: 235-240 - [c12]Kehan Gao, Taghi M. Khoshgoftaar, Amri Napolitano:
Exploring Software Quality Classification with a Wrapper-Based Feature Ranking Technique. ICTAI 2009: 67-74 - [c11]Huanjing Wang, Taghi M. Khoshgoftaar, Kehan Gao, Naeem Seliya:
High-Dimensional Software Engineering Data and Feature Selection. ICTAI 2009: 83-90 - [c10]Kehan Gao, Taghi M. Khoshgoftaar, Huanjing Wang:
An Empirical Investigation of Filter Attribute Selection Techniques for Software Quality Classification. IRI 2009: 272-277 - [r1]Kehan Gao, Taghi M. Khoshgoftaar:
Count Models for Software Quality Estimation. Encyclopedia of Data Warehousing and Mining 2009: 346-352 - 2007
- [j7]Taghi M. Khoshgoftaar, Kehan Gao:
Count Models for Software Quality Estimation. IEEE Trans. Reliab. 56(2): 212-222 (2007) - [j6]Kehan Gao, Taghi M. Khoshgoftaar:
A Comprehensive Empirical Study of Count Models for Software Fault Prediction. IEEE Trans. Reliab. 56(2): 223-236 (2007) - [c9]Lofton A. Bullard, Taghi M. Khoshgoftaar, Kehan Gao:
An application of a rule-based model in software quality classification. ICMLA 2007: 204-210 - 2006
- [j5]Taghi M. Khoshgoftaar, Kehan Gao, Hua Lin:
Indirect classification approaches: a comparative study in network intrusion detection. Int. J. Comput. Appl. Technol. 27(4): 232-245 (2006) - [c8]Taghi M. Khoshgoftaar, Kehan Gao:
Assessment of a Multi-Strategy Classifier for an Embedded Software System. ICTAI 2006: 651-658 - 2005
- [j4]Taghi M. Khoshgoftaar, Naeem Seliya, Kehan Gao:
Assessment of a New Three-Group Software Quality Classification Technique: An Empirical Case Study. Empir. Softw. Eng. 10(2): 183-218 (2005) - [j3]Taghi M. Khoshgoftaar, Kehan Gao, Nawal H. Ibrahim:
Evaluating indirect and direct classification techniques for network intrusion detection. Intell. Data Anal. 9(3): 309-326 (2005) - [j2]Taghi M. Khoshgoftaar, Naeem Seliya, Kehan Gao:
Detecting noisy instances with the rule-based classification model. Intell. Data Anal. 9(4): 347-364 (2005) - [j1]Taghi M. Khoshgoftaar, Kehan Gao, Robert M. Szabo:
Comparing software fault predictions of pure and zero-inflated Poisson regression models. Int. J. Syst. Sci. 36(11): 705-715 (2005) - [c7]Zhiwei Xu
Application of fuzzy expert system in test case selection for system regression test. IRI 2005: 120-125 - 2004
- [c6]Taghi M. Khoshgoftaar, Naeem Seliya, Kehan Gao:
Rule-Based Noise Detection for Software Measurement Data. IRI 2004: 302-307 - [c5]Taghi M. Khoshgoftaar, Yudong Xiao, Kehan Gao:
Multi-Objective Optimization by CBR GA-Optimizer for Module-Order Modeling. SEKE 2004: 220-225 - 2003
- [c4]Taghi M. Khoshgoftaar, Lofton A. Bullard, Kehan Gao:
Detecting Outliers Using Rule-Based Modeling for Improving CBR-Based Software Quality Classification Models. ICCBR 2003: 216-230 - [c3]Taghi M. Khoshgoftaar, Laurent A. Nguyen, Kehan Gao, Jayanth Rajeevalochanam:
Application of an Attribute Selection Method to CBR-Based Software Quality Classification. ICTAI 2003: 47-52 - 2002
- [c2]Taghi M. Khoshgoftaar, Erik Geleyn, Kehan Gao:
An Empirical Study of the Impact of Count Models Predictions on Module-Order Models. IEEE METRICS 2002: 161-172 - 2001
- [c1]Taghi M. Khoshgoftaar, Kehan Gao, Robert M. Szabo:
An Application of Zero-Inflated Poisson Regression for Software Fault Prediction . ISSRE 2001: 66-73
Coauthor Index
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