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Journal Articles
- 2014
[j6]Chris Seiffert, Taghi M. Khoshgoftaar, Jason Van Hulse, Andres Folleco:
An empirical study of the classification performance of learners on imbalanced and noisy software quality data. Inf. Sci. 259: 571-595 (2014)- 2010
- [j5]Chris Seiffert, Taghi M. Khoshgoftaar, Jason Van Hulse, Amri Napolitano:
RUSBoost: A Hybrid Approach to Alleviating Class Imbalance. IEEE Trans. Syst. Man Cybern. Part A 40(1): 185-197 (2010) - 2009
- [j4]Chris Seiffert, Taghi M. Khoshgoftaar, Jason Van Hulse:
Hybrid sampling for imbalanced data. Integr. Comput. Aided Eng. 16(3): 193-210 (2009) - [j3]Chris Seiffert, Taghi M. Khoshgoftaar, Jason Van Hulse:
Improving Software-Quality Predictions With Data Sampling and Boosting. IEEE Trans. Syst. Man Cybern. Part A 39(6): 1283-1294 (2009) - 2008
- [j2]Taghi M. Khoshgoftaar, Naeem Seliya, Chris Seiffert:
Low-Effort Labeling of Network Events for Intrusion Detection in WLANs. Int. J. Artif. Intell. Tools 17(3): 521-537 (2008) - 2007
- [j1]Taghi M. Khoshgoftaar, Jason Van Hulse, Chris Seiffert, Lili Zhao:
The multiple imputation quantitative noise corrector. Intell. Data Anal. 11(3): 245-263 (2007)
Conference and Workshop Papers
- 2008
- [c16]Chris Seiffert, Taghi M. Khoshgoftaar, Jason Van Hulse, Amri Napolitano:
Building Useful Models from Imbalanced Data with Sampling and Boosting. FLAIRS 2008: 306-311 - [c15]Chris Seiffert, Taghi M. Khoshgoftaar, Jason Van Hulse, Amri Napolitano:
A Comparative Study of Data Sampling and Cost Sensitive Learning. ICDM Workshops 2008: 46-52 - [c14]Chris Seiffert, Taghi M. Khoshgoftaar, Jason Van Hulse, Amri Napolitano:
RUSBoost: Improving classification performance when training data is skewed. ICPR 2008: 1-4 - [c13]Chris Seiffert, Taghi M. Khoshgoftaar, Jason Van Hulse, Amri Napolitano:
Resampling or Reweighting: A Comparison of Boosting Implementations. ICTAI (1) 2008: 445-451 - [c12]Chris Seiffert, Taghi M. Khoshgoftaar, Jason Van Hulse, Amri Napolitano:
Improving Learner Performance with Data Sampling and Boosting. ICTAI (1) 2008: 452-459 - [c11]Chris Seiffert, Taghi M. Khoshgoftaar, Jason Van Hulse:
Hybrid sampling for imbalanced data. IRI 2008: 202-207 - 2007
- [c10]Taghi M. Khoshgoftaar, Chris Seiffert, Naeem Seliya:
Low-Effort Labeling of Network Events for Intrusion Detection in WLANs. FLAIRS 2007: 490-495 - [c9]Taghi M. Khoshgoftaar, Chris Seiffert, Jason Van Hulse, Amri Napolitano, Andres Folleco:
Learning with limited minority class data. ICMLA 2007: 348-353 - [c8]Chris Seiffert, Taghi M. Khoshgoftaar, Jason Van Hulse, Amri Napolitano:
Mining Data with Rare Events: A Case Study. ICTAI (2) 2007: 132-139 - [c7]Chris Seiffert, Taghi M. Khoshgoftaar, Jason Van Hulse, Andres Folleco:
An Empirical Study of the Classification Performance of Learners on Imbalanced and Noisy Software Quality Data. IRI 2007: 651-658 - [c6]Andres Folleco, Taghi M. Khoshgoftaar, Jason Van Hulse, Chris Seiffert:
Learning from Software Quality Data with Class Imbalance and Noise. SEKE 2007: 487- - 2006
- [c5]Jason Van Hulse, Taghi M. Khoshgoftaar, Chris Seiffert:
A Comparison of Software Fault Imputation Procedures. ICMLA 2006: 135-142 - [c4]Taghi M. Khoshgoftaar, Jason Van Hulse, Chris Seiffert:
A Hybrid Approach to Cleansing Software Measurement Data. ICTAI 2006: 713-722 - [c3]Taghi M. Khoshgoftaar, Chris Seiffert, Naeem Seliya:
Labeling network event records for intrusion detection in a Wireless LAN. IRI 2006: 200-206 - [c2]Jason Van Hulse, Taghi M. Khoshgoftaar, Chris Seiffert, Lili Zhao:
Noise correction using bayesian multiple imputation. IRI 2006: 478-483 - [c1]Taghi M. Khoshgoftaar, Chris Seiffert, Jason Van Hulse:
Polishing Noise in Continuous Software Measurement Data. SEKE 2006: 227-231
Coauthor Index
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