Identifying noise in an attribute of interest. - Taghi M. Khoshgoftaar; Jason Van Hulse (ICMLA, 2005)

Identifying noisy features with the Pairwise Attribute Noise Detection Algorithm. - Taghi M. Khoshgoftaar; Jason Van Hulse (Intell. Data Anal., 2005)

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)

Software quality imputation in the presence of noisy data. - Taghi M. Khoshgoftaar; Andres Folleco; Jason Van Hulse; Lofton A. Bullard (IRI, 2006)

Multiple Imputation of Software Measurement Data: A Case Study. - Taghi M. Khoshgoftaar; Jason Van Hulse (SEKE, 2006)

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

Class noise detection using frequent itemsets. - Jason Van Hulse; Taghi M. Khoshgoftaar (Intell. Data Anal., 2006)

Determining noisy instances relative to attributes of interest. - Taghi M. Khoshgoftaar; Jason Van Hulse (Intell. Data Anal., 2006)

Skewed Class Distributions and Mislabeled Examples. - Jason Van Hulse; Taghi M. Khoshgoftaar; Amri Napolitano (ICDM Workshops, 2007)

Experimental perspectives on learning from imbalanced data. - Jason Van Hulse; Taghi M. Khoshgoftaar; Amri Napolitano (ICML, 2007)

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

An Empirical Study of Learning from Imbalanced Data Using Random Forest. - Taghi M. Khoshgoftaar; Moiz Golawala; Jason Van Hulse (ICTAI (2), 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)

The pairwise attribute noise detection algorithm. - Jason Van Hulse; Taghi M. Khoshgoftaar; Haiying Huang (Knowl. Inf. Syst., 2007)

Software quality modeling: The impact of class noise on the random forest classifier. - Andres Folleco; Taghi M. Khoshgoftaar; Jason Van Hulse; Lofton A. Bullard (IEEE Congress on Evolutionary Computation, 2008)

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)

Identifying learners robust to low quality data. - Andres Folleco; Taghi M. Khoshgoftaar; Jason Van Hulse; Lofton A. Bullard (IRI, 2008)

A comprehensive empirical evaluation of missing value imputation in noisy software measurement data. - Jason Van Hulse; Taghi M. Khoshgoftaar (J. Syst. Softw., 2008)

Imputation techniques for multivariate missingness in software measurement data. - Taghi M. Khoshgoftaar; Jason Van Hulse (Softw. Qual. J., 2008)

Feature Selection with High-Dimensional Imbalanced Data. - Jason Van Hulse; Taghi M. Khoshgoftaar; Amri Napolitano; Randall Wald (ICDM Workshops, 2009)

An Empirical Study on Wrapper-Based Feature Ranking. - Wilker Altidor; Taghi M. Khoshgoftaar; Jason Van Hulse (ICTAI, 2009)

A Study on the Relationships of Classifier Performance Metrics. - Naeem Seliya; Taghi M. Khoshgoftaar; Jason Van Hulse (ICTAI, 2009)

An Empirical Comparison of Repetitive Undersampling Techniques. - Jason Van Hulse; Taghi M. Khoshgoftaar; Amri Napolitano (IRI, 2009)

Aggregating Performance Metrics for Classifier Evaluation. - Naeem Seliya; Taghi M. Khoshgoftaar; Jason Van Hulse (IRI, 2009)

Knowledge discovery from imbalanced and noisy data. - Jason Van Hulse; Taghi M. Khoshgoftaar (Data Knowl. Eng., 2009)

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

Identifying Learners Robust to Low Quality Data. - Andres Folleco; Taghi M. Khoshgoftaar; Jason Van Hulse; Amri Napolitano (Informatica (Slovenia), 2009)

Empirical Case Studies in Attribute Noise Detection. - Taghi M. Khoshgoftaar; Jason Van Hulse (IEEE Trans. Syst. Man Cybern. Part C, 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)

An Evaluation of Sampling on Filter-Based Feature Selection Methods. - Kehan Gao; Taghi M. Khoshgoftaar; Jason Van Hulse (FLAIRS, 2010)

A Comparative Study of Threshold-Based Feature Selection Techniques. - Huanjing Wang; Taghi M. Khoshgoftaar; Jason Van Hulse (GrC, 2010)

Predicting Faults in High Assurance Software. - Naeem Seliya; Taghi M. Khoshgoftaar; Jason Van Hulse (HASE, 2010)

Comparative Analysis of DNA Microarray Data through the Use of Feature Selection Techniques. - David J. Dittman; Taghi M. Khoshgoftaar; Randall Wald; Jason Van Hulse (ICMLA, 2010)

A Novel Noise Filtering Algorithm for Imbalanced Data. - Jason Van Hulse; Taghi M. Khoshgoftaar; Amri Napolitano (ICMLA, 2010)

A novel feature selection technique for highly imbalanced data. - Taghi M. Khoshgoftaar; Kehan Gao; Jason Van Hulse (IRI, 2010)

An Empirical Evaluation of Repetitive Undersampling Techniques. - Jason Van Hulse; Taghi M. Khoshgoftaar; Amri Napolitano (Int. J. Softw. Eng. Knowl. Eng., 2010)

Supervised neural network modeling: an empirical investigation into learning from imbalanced data with labeling errors. - Taghi M. Khoshgoftaar; Jason Van Hulse; Amri Napolitano (IEEE Trans. Neural Networks, 2010)

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)

Robustness of Filter-Based Feature Ranking: A Case Study. - Wilker Altidor; Taghi M. Khoshgoftaar; Jason Van Hulse (FLAIRS, 2011)

A comparative evaluation of feature ranking methods for high dimensional bioinformatics data. - Jason Van Hulse; Taghi M. Khoshgoftaar; Amri Napolitano (IRI, 2011)

Comparison of approaches to alleviate problems with high-dimensional and class-imbalanced data. - Ahmad Abu Shanab; Taghi M. Khoshgoftaar; Randall Wald; Jason Van Hulse (IRI, 2011)

An exploration of learning when data is noisy and imbalanced. - Jason Van Hulse; Taghi M. Khoshgoftaar; Amri Napolitano (Intell. Data Anal., 2011)

Metric Selection for Software Defect Prediction. - Huanjing Wang; Taghi M. Khoshgoftaar; Jason Van Hulse; Kehan Gao (Int. J. Softw. Eng. Knowl. Eng., 2011)

Evaluating the Impact of Data Quality on Sampling. - Jason Van Hulse; Taghi M. Khoshgoftaar; Amri Napolitano (J. Inf. Knowl. Manag., 2011)

Comparing Boosting and Bagging Techniques With Noisy and Imbalanced Data. - Taghi M. Khoshgoftaar; Jason Van Hulse; Amri Napolitano (IEEE Trans. Syst. Man Cybern. Part A, 2011)

A Novel Noise-Resistant Boosting Algorithm for Class-Skewed Data. - Jason Van Hulse; Taghi M. Khoshgoftaar; Amri Napolitano (ICMLA (2), 2012)

Evaluation of the importance of data pre-processing order when combining feature selection and data sampling. - Ahmad Abu Shanab; Taghi M. Khoshgoftaar; Randall Wald; Jason Van Hulse (Int. J. Bus. Intell. Data Min., 2012)

Threshold-based feature selection techniques for high-dimensional bioinformatics data. - Jason Van Hulse; Taghi M. Khoshgoftaar; Amri Napolitano; Randall Wald (Netw. Model. Anal. Health Informatics Bioinform., 2012)

Incomplete-case nearest neighbor imputation in software measurement data. - Jason Van Hulse; Taghi M. Khoshgoftaar (Inf. Sci., 2014)

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)

Deep Learning Chromatic and Clique Numbers of Graphs. - Jason Van Hulse; Joshua S. Friedman (CoRR, 2021)