| 2012 | ICMLA | A Novel Noise-Resistant Boosting Algorithm for Class-Skewed Data. | Jason Van Hulse, Taghi M. Khoshgoftaar, Amri Napolitano |
| 2011 | FlAIRS | Robustness of Filter-Based Feature Ranking: A Case Study. | Wilker Altidor, Taghi M. Khoshgoftaar, Jason Van Hulse |
| 2011 | IRI | A comparative evaluation of feature ranking methods for high dimensional bioinformatics data. | Jason Van Hulse, Taghi M. Khoshgoftaar, Amri Napolitano |
| 2011 | IRI | Comparison of approaches to alleviate problems with high-dimensional and class-imbalanced data. | Ahmad Abu Shanab, Taghi M. Khoshgoftaar, Randall Wald, Jason Van Hulse |
| 2010 | FlAIRS | An Evaluation of Sampling on Filter-Based Feature Selection Methods. | Kehan Gao, Taghi M. Khoshgoftaar, Jason Van Hulse |
| 2010 | GRC | A Comparative Study of Threshold-Based Feature Selection Techniques. | Huanjing Wang, Taghi M. Khoshgoftaar, Jason Van Hulse |
| 2010 | ICMLA | Comparative Analysis of DNA Microarray Data through the Use of Feature Selection Techniques. | David J. Dittman, Taghi M. Khoshgoftaar, Randall Wald, Jason Van Hulse |
| 2010 | ICMLA | A Novel Noise Filtering Algorithm for Imbalanced Data. | Jason Van Hulse, Taghi M. Khoshgoftaar, Amri Napolitano |
| 2010 | IRI | Evaluating the impact of data quality on sampling. | Jason Van Hulse, Taghi M. Khoshgoftaar, Amri Napolitano |
| 2010 | IRI | A novel feature selection technique for highly imbalanced data. | Taghi M. Khoshgoftaar, Kehan Gao, Jason Van Hulse |
| 2009 | ICDM | Feature Selection with High-Dimensional Imbalanced Data. | Jason Van Hulse, Taghi M. Khoshgoftaar, Amri Napolitano, Randall Wald |
| 2009 | IRI | An Empirical Comparison of Repetitive Undersampling Techniques. | Jason Van Hulse, Taghi M. Khoshgoftaar, Amri Napolitano |
| 2009 | IRI | Aggregating Performance Metrics for Classifier Evaluation. | Naeem Seliya, Taghi M. Khoshgoftaar, Jason Van Hulse |
| 2009 | ICTAI | An Empirical Study on Wrapper-Based Feature Ranking. | Wilker Altidor, Taghi M. Khoshgoftaar, Jason Van Hulse |
| 2009 | ICTAI | A Study on the Relationships of Classifier Performance Metrics. | Naeem Seliya, Taghi M. Khoshgoftaar, Jason Van Hulse |
| 2008 | CEC | Software quality modeling: The impact of class noise on the random forest classifier. | Andres Folleco, Taghi M. Khoshgoftaar, Jason Van Hulse, Lofton A. Bullard |
| 2008 | FlAIRS | Building Useful Models from Imbalanced Data with Sampling and Boosting. | Chris Seiffert, Taghi M. Khoshgoftaar, Jason Van Hulse, Amri Napolitano |
| 2008 | ICDM | A Comparative Study of Data Sampling and Cost Sensitive Learning. | Chris Seiffert, Taghi M. Khoshgoftaar, Jason Van Hulse, Amri Napolitano |
| 2008 | ICPR | RUSBoost: Improving classification performance when training data is skewed. | Chris Seiffert, Taghi M. Khoshgoftaar, Jason Van Hulse, Amri Napolitano |
| 2008 | IRI | Identifying learners robust to low quality data. | Andres Folleco, Taghi M. Khoshgoftaar, Jason Van Hulse, Lofton A. Bullard |
| 2008 | IRI | Hybrid sampling for imbalanced data. | Chris Seiffert, Taghi M. Khoshgoftaar, Jason Van Hulse |
| 2008 | ICTAI | Resampling or Reweighting: A Comparison of Boosting Implementations. | Chris Seiffert, Taghi M. Khoshgoftaar, Jason Van Hulse, Amri Napolitano |
| 2008 | ICTAI | Improving Learner Performance with Data Sampling and Boosting. | Chris Seiffert, Taghi M. Khoshgoftaar, Jason Van Hulse, Amri Napolitano |
| 2007 | ICDM | Skewed Class Distributions and Mislabeled Examples. | Jason Van Hulse, Taghi M. Khoshgoftaar, Amri Napolitano |
| 2007 | ICML | Experimental perspectives on learning from imbalanced data. | Jason Van Hulse, Taghi M. Khoshgoftaar, Amri Napolitano |
| 2007 | ICMLA | Learning with limited minority class data. | Taghi M. Khoshgoftaar, Chris Seiffert, Jason Van Hulse, Amri Napolitano, Andres Folleco |
| 2007 | IRI | Incomplete-Case Nearest Neighbor Imputation in Software Measurement Data. | Jason Van Hulse, Taghi M. Khoshgoftaar |
| 2007 | IRI | 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 |
| 2007 | ICTAI | An Empirical Study of Learning from Imbalanced Data Using Random Forest. | Taghi M. Khoshgoftaar, Moiz Golawala, Jason Van Hulse |
| 2007 | ICTAI | Mining Data with Rare Events: A Case Study. | Chris Seiffert, Taghi M. Khoshgoftaar, Jason Van Hulse, Amri Napolitano |
| 2007 | SEKE | Learning from Software Quality Data with Class Imbalance and Noise. | Andres Folleco, Taghi M. Khoshgoftaar, Jason Van Hulse, Chris Seiffert |
| 2006 | ICMLA | A Comparison of Software Fault Imputation Procedures. | Jason Van Hulse, Taghi M. Khoshgoftaar, Chris Seiffert |
| 2006 | IRI | Noise correction using bayesian multiple imputation. | Jason Van Hulse, Taghi M. Khoshgoftaar, Chris Seiffert, Lili Zhao |
| 2006 | IRI | Software quality imputation in the presence of noisy data. | Taghi M. Khoshgoftaar, Andres Folleco, Jason Van Hulse, Lofton A. Bullard |
| 2006 | ICTAI | A Hybrid Approach to Cleansing Software Measurement Data. | Taghi M. Khoshgoftaar, Jason Van Hulse, Chris Seiffert |
| 2006 | SEKE | Multiple Imputation of Software Measurement Data: A Case Study. | Taghi M. Khoshgoftaar, Jason Van Hulse |
| 2006 | SEKE | Polishing Noise in Continuous Software Measurement Data. | Taghi M. Khoshgoftaar, Chris Seiffert, Jason Van Hulse |
| 2005 | ICMLA | Identifying noise in an attribute of interest. | Taghi M. Khoshgoftaar, Jason Van Hulse |
| 2005 | IRI | Empirical case studies in attribute noise detection. | Taghi M. Khoshgoftaar, Jason Van Hulse |