A Comparison of Software Fault Imputation Procedures. - Jason Van Hulse; Taghi M. Khoshgoftaar; Chris Seiffert (ICMLA, 2006)

A Hybrid Approach to Cleansing Software Measurement Data. - Taghi M. Khoshgoftaar; Jason Van Hulse; Chris Seiffert (ICTAI, 2006)

Noise correction using bayesian multiple imputation. - Jason Van Hulse; Taghi M. Khoshgoftaar; Chris Seiffert; Lili Zhao (IRI, 2006)

Labeling network event records for intrusion detection in a Wireless LAN. - Taghi M. Khoshgoftaar; Chris Seiffert; Naeem Seliya (IRI, 2006)

Polishing Noise in Continuous Software Measurement Data. - Taghi M. Khoshgoftaar; Chris Seiffert; Jason Van Hulse (SEKE, 2006)

Learning with limited minority class data. - Taghi M. Khoshgoftaar; Chris Seiffert; Jason Van Hulse; Amri Napolitano; Andres Folleco (ICMLA, 2007)

Mining Data with Rare Events: A Case Study. - Chris Seiffert; Taghi M. Khoshgoftaar; Jason Van Hulse; Amri Napolitano (ICTAI (2), 2007)

Learning from Software Quality Data with Class Imbalance and Noise. - Andres Folleco; Taghi M. Khoshgoftaar; Jason Van Hulse; Chris Seiffert (SEKE, 2007)

The multiple imputation quantitative noise corrector. - Taghi M. Khoshgoftaar; Jason Van Hulse; Chris Seiffert; Lili Zhao (Intell. Data Anal., 2007)

Building Useful Models from Imbalanced Data with Sampling and Boosting. - Chris Seiffert; Taghi M. Khoshgoftaar; Jason Van Hulse; Amri Napolitano (FLAIRS, 2008)

A Comparative Study of Data Sampling and Cost Sensitive Learning. - Chris Seiffert; Taghi M. Khoshgoftaar; Jason Van Hulse; Amri Napolitano (ICDM Workshops, 2008)

RUSBoost: Improving classification performance when training data is skewed. - Chris Seiffert; Taghi M. Khoshgoftaar; Jason Van Hulse; Amri Napolitano (ICPR, 2008)

Resampling or Reweighting: A Comparison of Boosting Implementations. - Chris Seiffert; Taghi M. Khoshgoftaar; Jason Van Hulse; Amri Napolitano (ICTAI (1), 2008)

Improving Learner Performance with Data Sampling and Boosting. - Chris Seiffert; Taghi M. Khoshgoftaar; Jason Van Hulse; Amri Napolitano (ICTAI (1), 2008)

Low-Effort Labeling of Network Events for Intrusion Detection in WLANs. - Taghi M. Khoshgoftaar; Naeem Seliya; Chris Seiffert (Int. J. Artif. Intell. Tools, 2008)

Hybrid sampling for imbalanced data. - Chris Seiffert; Taghi M. Khoshgoftaar; Jason Van Hulse (Integr. Comput. Aided Eng., 2009)

Improving Software-Quality Predictions With Data Sampling and Boosting. - Chris Seiffert; Taghi M. Khoshgoftaar; Jason Van Hulse (IEEE Trans. Syst. Man Cybern. Part A, 2009)

RUSBoost: A Hybrid Approach to Alleviating Class Imbalance. - Chris Seiffert; Taghi M. Khoshgoftaar; Jason Van Hulse; Amri Napolitano (IEEE Trans. Syst. Man Cybern. Part A, 2010)

An empirical study of the classification performance of learners on imbalanced and noisy software quality data. - Chris Seiffert; Taghi M. Khoshgoftaar; Jason Van Hulse; Andres Folleco (Inf. Sci., 2014)