A comparative study of iterative and non-iterative feature selection techniques for software defect prediction von Khoshgoftaar, Taghi M., Gao, Kehan, Napolitano, Amri, Wald, Randall

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RUSBoost: A Hybrid Approach to Alleviating Class Imbalance von Seiffert, C., Khoshgoftaar, T.M., Van Hulse, J., Napolitano, A.

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RUSBoost: Improving classification performance when training data is skewed von Seiffert, C., Khoshgoftaar, T.M., Van Hulse, J., Napolitano, A.

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Comparing Boosting and Bagging Techniques With Noisy and Imbalanced Data von Khoshgoftaar, T M, Van Hulse, J, Napolitano, A

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Software measurement data reduction using ensemble techniques von Wang, Huanjing, Khoshgoftaar, Taghi M., Napolitano, Amri

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Supervised Neural Network Modeling: An Empirical Investigation Into Learning From Imbalanced Data With Labeling Errors von Khoshgoftaar, Taghi M, Van Hulse, Jason, Napolitano, Amri

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A Comparative Study of Ensemble Feature Selection Techniques for Software Defect Prediction von Huanjing Wang, Khoshgoftaar, T M, Napolitano, A

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Stability of Filter- and Wrapper-Based Feature Subset Selection von Wald, Randall, Khoshgoftaar, Taghi M., Napolitano, Amri

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An Empirical Investigation of Combining Filter-Based Feature Subset Selection and Data Sampling for Software Defect Prediction von Gao, Kehan, Khoshgoftaar, Taghi M., Napolitano, Amri

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Threshold-based feature selection techniques for high-dimensional bioinformatics data von Van Hulse, Jason, Khoshgoftaar, Taghi M., Napolitano, Amri, Wald, Randall

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Comparing Feature Selection Techniques for Software Quality Estimation Using Data-Sampling-Based Boosting Algorithms von Khoshgoftaar, Taghi M., Gao, Kehan, Chen, Ye, Napolitano, Amri

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Detecting Network Attacks Based on Behavioral Commonalities von Najafabadi, Maryam M., Khoshgoftaar, Taghi M., Napolitano, Amri

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An Empirical Study on the Stability of Feature Selection for Imbalanced Software Engineering Data von Huanjing Wang, Khoshgoftaar, T. M., Napolitano, A.

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An exploration of learning when data is noisy and imbalanced von Van Hulse, Jason, Khoshgoftaar, Taghi M., Napolitano, Amri

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Identifying Learners Robust to Low Quality Data von Folleco, A A, Khoshgoftaar, T M, Van Hulse, J, Napolitano, A

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Feature Selection with High-Dimensional Imbalanced Data von Van Hulse, Jason, Khoshgoftaar, Taghi M., Napolitano, Amri, Wald, Randall

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Using Classifier-Based Nominal Imputation to Improve Machine Learning von Su, Xiaoyuan, Greiner, Russell, Khoshgoftaar, Taghi M., Napolitano, Amri

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A review of the stability of feature selection techniques for bioinformatics data von Awada, W., Khoshgoftaar, T. M., Dittman, D., Wald, R., Napolitano, A.

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Using Twitter Content to Predict Psychopathy von Wald, R., Khoshgoftaar, T. M., Napolitano, A., Sumner, C.

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Predicting susceptibility to social bots on Twitter von Wald, Randall, Khoshgoftaar, Taghi M., Napolitano, Amri, Sumner, Chris

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