An interactive drafting system based on two dimensional primitives. - G. Cosmai; Umberto Cugini; Piero Mussio; Amri Napolitano (DAC, 1982)

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)

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

Comparison of Four Performance Metrics for Evaluating Sampling Techniques for Low Quality Class-Imbalanced Data. - Andres Folleco; Taghi M. Khoshgoftaar; Amri Napolitano (ICMLA, 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)

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

Wrapper-Based Feature Ranking for Software Engineering Metrics. - Wilker Altidor; Taghi M. Khoshgoftaar; Amri Napolitano (ICMLA, 2009)

Exploring Software Quality Classification with a Wrapper-Based Feature Ranking Technique. - Kehan Gao; Taghi M. Khoshgoftaar; Amri Napolitano (ICTAI, 2009)

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

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

Classification techniques for noisy and imbalanced data. - Amri Napolitano (2009)

An Empirical Study of Predictive Modeling Techniques of Software Quality. - Taghi M. Khoshgoftaar; Kehan Gao; Amri Napolitano (BIONETICS, 2010)

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

A Comparative Study of Ensemble Feature Selection Techniques for Software Defect Prediction. - Huanjing Wang; Taghi M. Khoshgoftaar; Amri Napolitano (ICMLA, 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)

Random forest: A reliable tool for patient response prediction. - David J. Dittman; Taghi M. Khoshgoftaar; Randall Wald; Amri Napolitano (BIBM Workshops, 2011)

Impact of Data Sampling on Stability of Feature Selection for Software Measurement Data. - Kehan Gao; Taghi M. Khoshgoftaar; Amri Napolitano (ICTAI, 2011)

A noise-based stability evaluation of threshold-based feature selection techniques. - Wilker Altidor; Taghi M. Khoshgoftaar; Amri Napolitano (IRI, 2011)

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

Using Classifier-Based Nominal Imputation to Improve Machine Learning. - Xiaoyuan Su; Russell Greiner; Taghi M. Khoshgoftaar; Amri Napolitano (PAKDD (1), 2011)

A Comparative Study of Different Strategies for Predicting Software Quality. - Taghi M. Khoshgoftaar; Kehan Gao; Amri Napolitano (SEKE, 2011)

An Empirical Study of Software Metrics Selection Using Support Vector Machine. - Huanjing Wang; Taghi M. Khoshgoftaar; Amri Napolitano (SEKE, 2011)

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

Similarity analysis of feature ranking techniques on imbalanced DNA microarray datasets. - David J. Dittman; Taghi M. Khoshgoftaar; Randall Wald; Amri Napolitano (BIBM, 2012)

Determining the Number of Iterations Appropriate for Ensemble Gene Selection on Microarray Data. - David J. Dittman; Taghi M. Khoshgoftaar; Randall Wald; Amri Napolitano (ICMLA (1), 2012)

Comparing Two New Gene Selection Ensemble Approaches with the Commonly-Used Approach. - David J. Dittman; Taghi M. Khoshgoftaar; Randall Wald; Amri Napolitano (ICMLA (2), 2012)

Studying the Effect of Class Imbalance in Ocean Turbine Fault Data on Reliable State Detection. - Janell Duhaney; Taghi M. Khoshgoftaar; Amri Napolitano (ICMLA (1), 2012)

A Hybrid Approach to Coping with High Dimensionality and Class Imbalance for Software Defect Prediction. - Kehan Gao; Taghi M. Khoshgoftaar; Amri Napolitano (ICMLA (2), 2012)

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

Using Twitter Content to Predict Psychopathy. - Randall Wald; Taghi M. Khoshgoftaar; Amri Napolitano; Chris Sumner (ICMLA (2), 2012)

An Empirical Study on the Stability of Feature Selection for Imbalanced Software Engineering Data. - Huanjing Wang; Taghi M. Khoshgoftaar; Amri Napolitano (ICMLA (1), 2012)

A Comparative Study on the Stability of Software Metric Selection Techniques. - Huanjing Wang; Taghi M. Khoshgoftaar; Randall Wald; Amri Napolitano (ICMLA (2), 2012)

A review of the stability of feature selection techniques for bioinformatics data. - Wael Awada; Taghi M. Khoshgoftaar; David J. Dittman; Randall Wald; Amri Napolitano (IRI, 2012)

Exploring an iterative feature selection technique for highly imbalanced data sets. - Taghi M. Khoshgoftaar; Kehan Gao; Amri Napolitano (IRI, 2012)

Impact of noise and data sampling on stability of feature ranking techniques for biological datasets. - Ahmad Abu Shanab; Taghi M. Khoshgoftaar; Randall Wald; Amri Napolitano (IRI, 2012)

An extensive comparison of feature ranking aggregation techniques in bioinformatics. - Randall Wald; Taghi M. Khoshgoftaar; David J. Dittman; Wael Awada; Amri Napolitano (IRI, 2012)

A novel dataset-similarity-aware approach for evaluating stability of software metric selection techniques. - Huanjing Wang; Taghi M. Khoshgoftaar; Randall Wald; Amri Napolitano (IRI, 2012)

Stability of Filter-Based Feature Selection Methods for Imbalanced Software Measurement Data. - Kehan Gao; Taghi M. Khoshgoftaar; Amri Napolitano (SEKE, 2012)

An Empirical Study of Software Metric Selection Techniques for Defect Prediction. - Huanjing Wang; Taghi M. Khoshgoftaar; Randall Wald; Amri Napolitano (SEKE, 2012)

Measuring stability of feature ranking techniques: a noise-based approach. - Wilker Altidor; Taghi M. Khoshgoftaar; Amri Napolitano (Int. J. Bus. Intell. Data Min., 2012)

Software measurement data reduction using ensemble techniques. - Huanjing Wang; Taghi M. Khoshgoftaar; Amri Napolitano (Neurocomputing, 2012)

An Empirical Study of Feature Ranking Techniques for Software Quality Prediction. - Taghi M. Khoshgoftaar; Kehan Gao; Amri Napolitano (Int. J. Softw. Eng. Knowl. Eng., 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)

Classification Performance of Rank Aggregation Techniques for Ensemble Gene Selection. - David J. Dittman; Taghi M. Khoshgoftaar; Randall Wald; Amri Napolitano (FLAIRS, 2013)

Simplifying the Utilization of Machine Learning Techniques for Bioinformatics. - David J. Dittman; Taghi M. Khoshgoftaar; Randall Wald; Amri Napolitano (ICMLA (2), 2013)

Improving Software Quality Estimation by Combining Boosting and Feature Selection. - Kehan Gao; Taghi M. Khoshgoftaar; Amri Napolitano (ICMLA (1), 2013)

Contrasting Undersampled Boosting with Internal and External Feature Selection for Patient Response Datasets. - Taghi M. Khoshgoftaar; David J. Dittman; Randall Wald; Amri Napolitano (ICMLA (2), 2013)

Random Forest with 200 Selected Features: An Optimal Model for Bioinformatics Research. - Randall Wald; Taghi M. Khoshgoftaar; David J. Dittman; Amri Napolitano (ICMLA (1), 2013)

Comparison of Stability for Different Families of Filter-Based and Wrapper-Based Feature Selection. - Randall Wald; Taghi M. Khoshgoftaar; Amri Napolitano (ICMLA (2), 2013)

Comparative Analysis on the Stability of Feature Selection Techniques Using Three Frameworks on Biological Datasets. - Randall Wald; Taghi M. Khoshgoftaar; Ahmad Abu Shanab; Amri Napolitano (ICMLA (1), 2013)

An Empirical Study on Wrapper-Based Feature Selection for Software Engineering Data. - Huanjing Wang; Taghi M. Khoshgoftaar; Amri Napolitano (ICMLA (2), 2013)

Maximizing Classification Performance for Patient Response Datasets. - David J. Dittman; Taghi M. Khoshgoftaar; Randall Wald; Amri Napolitano (ICTAI, 2013)

Stability of Filter- and Wrapper-Based Feature Subset Selection. - Randall Wald; Taghi M. Khoshgoftaar; Amri Napolitano (ICTAI, 2013)

How the Choice of Wrapper Learner and Performance Metric Affects Subset Evaluation. - Randall Wald; Taghi M. Khoshgoftaar; Amri Napolitano (ICTAI, 2013)

Should the Same Learners Be Used Both within Wrapper Feature Selection and for Building Classification Models? - Randall Wald; Taghi M. Khoshgoftaar; Amri Napolitano (ICTAI, 2013)

Which Users Reply to and Interact with Twitter Social Bots? - Randall Wald; Taghi M. Khoshgoftaar; Amri Napolitano; Chris Sumner (ICTAI, 2013)

Comparison of rank-based vs. score-based aggregation for ensemble gene selection. - David J. Dittman; Taghi M. Khoshgoftaar; Randall Wald; Amri Napolitano (IRI, 2013)

Gene selection stability's dependence on dataset difficulty. - David J. Dittman; Taghi M. Khoshgoftaar; Randall Wald; Amri Napolitano (IRI, 2013)

Feature list aggregation approaches for ensemble gene selection on patient response datasets. - Taghi M. Khoshgoftaar; Randall Wald; David J. Dittman; Amri Napolitano (IRI, 2013)

The importance of performance metrics within wrapper feature selection. - Randall Wald; Taghi M. Khoshgoftaar; Amri Napolitano (IRI, 2013)

Filter- and wrapper-based feature selection for predicting user interaction with Twitter bots. - Randall Wald; Taghi M. Khoshgoftaar; Amri Napolitano (IRI, 2013)

Predicting susceptibility to social bots on Twitter. - Randall Wald; Taghi M. Khoshgoftaar; Amri Napolitano; Chris Sumner (IRI, 2013)

Exploring Ensemble-Based Data Preprocessing Techniques for Software Quality Estimation. - Kehan Gao; Taghi M. Khoshgoftaar; Amri Napolitano (SEKE, 2013)

A Study on First Order Statistics-Based Feature Selection Techniques on Software Metric Data. - Huanjing Wang; Taghi M. Khoshgoftaar; Randall Wald; Amri Napolitano (SEKE, 2013)

Selecting the Appropriate Data Sampling Approach for Imbalanced and High-Dimensional Bioinformatics Datasets. - David J. Dittman; Taghi M. Khoshgoftaar; Amri Napolitano (BIBE, 2014)

Select-Bagging: Effectively Combining Gene Selection and Bagging for Balanced Bioinformatics Data. - David J. Dittman; Taghi M. Khoshgoftaar; Amri Napolitano; Alireza Fazelpour (BIBE, 2014)

Effects of the Use of Boosting on Classification Performance of Imbalanced Bioinformatics Datasets. - Taghi M. Khoshgoftaar; Alireza Fazelpour; David J. Dittman; Amri Napolitano (BIBE, 2014)

Using Correlation-Based Feature Selection for a Diverse Collection of Bioinformatics Datasets. - Randall Wald; Taghi M. Khoshgoftaar; Amri Napolitano (BIBE, 2014)

Network Traffic Prediction Models for Near- and Long-Term Predictions. - Randall Wald; Taghi M. Khoshgoftaar; Richard Zuech; Amri Napolitano (BIBE, 2014)

Comparison of Data Sampling Approaches for Imbalanced Bioinformatics Data. - David J. Dittman; Taghi M. Khoshgoftaar; Randall Wald; Amri Napolitano (FLAIRS, 2014)

Optimizing Wrapper-Based Feature Selection for Use on Bioinformatics Data. - Randall Wald; Taghi M. Khoshgoftaar; Amri Napolitano (FLAIRS, 2014)

Classification performance of three approaches for combining data sampling and gene selection on bioinformatics data. - Taghi M. Khoshgoftaar; Alireza Fazelpour; David J. Dittman; Amri Napolitano (IRI, 2014)

Improving software quality estimation by combining feature selection strategies with sampled ensemble learning. - Taghi M. Khoshgoftaar; Kehan Gao; Amri Napolitano (IRI, 2014)

How ranker and learner choice affects classification performance on noisy bioinformatics data. - Ahmad Abu Shanab; Taghi M. Khoshgoftaar; Randall Wald; Amri Napolitano (IRI, 2014)

Stability of filter- and wrapper-based software metric selection techniques. - Huanjing Wang; Taghi M. Khoshgoftaar; Amri Napolitano (IRI, 2014)

Comparing Two Approaches for Adding Feature Ranking to Sampled Ensemble Learning for Software Quality Estimation. - Kehan Gao; Taghi M. Khoshgoftaar; Amri Napolitano (SEKE, 2014)

Choosing the Best Classification Performance Metric for Wrapper-based Software Metric Selection for Defect Prediction. - Huanjing Wang; Taghi M. Khoshgoftaar; Amri Napolitano (SEKE, 2014)

The Use of Ensemble-Based Data Preprocessing Techniques for Software Defect Prediction. - Kehan Gao; Taghi M. Khoshgoftaar; Amri Napolitano (Int. J. Softw. Eng. Knowl. Eng., 2014)

A comparative study of iterative and non-iterative feature selection techniques for software defect prediction. - Taghi M. Khoshgoftaar; Kehan Gao; Amri Napolitano; Randall Wald (Inf. Syst. Frontiers, 2014)

Selecting the Appropriate Ensemble Learning Approach for Balanced Bioinformatics Data. - David J. Dittman; Taghi M. Khoshgoftaar; Amri Napolitano (FLAIRS, 2015)

Does the Inclusion of Data Sampling Improve the Performance of Boosting Algorithms on Imbalanced Bioinformatics Data? - Alireza Fazelpour; Taghi M. Khoshgoftaar; David J. Dittman; Amri Napolitano (ICMLA, 2015)

Investigating New Bootstrapping Approaches of Bagging Classifiers to Account for Class Imbalance in Bioinformatics Datasets. - Alireza Fazelpour; Taghi M. Khoshgoftaar; David J. Dittman; Amri Napolitano (ICMLA, 2015)

Utilizing Ensemble, Data Sampling and Feature Selection Techniques for Improving Classification Performance on Tweet Sentiment Data. - Joseph D. Prusa; Taghi M. Khoshgoftaar; Amri Napolitano (ICMLA, 2015)

Ensemble vs. Data Sampling: Which Option Is Best Suited to Improve Classification Performance of Imbalanced Bioinformatics Data? - Taghi M. Khoshgoftaar; Alireza Fazelpour; David J. Dittman; Amri Napolitano (ICTAI, 2015)

Using Feature Selection in Combination with Ensemble Learning Techniques to Improve Tweet Sentiment Classification Performance. - Joseph D. Prusa; Taghi M. Khoshgoftaar; Amri Napolitano (ICTAI, 2015)

The Effect of Data Sampling When Using Random Forest on Imbalanced Bioinformatics Data. - David J. Dittman; Taghi M. Khoshgoftaar; Amri Napolitano (IRI, 2015)

Choosing an Appropriate Ensemble Classifier for Balanced Bioinformatics Data. - Alireza Fazelpour; Taghi M. Khoshgoftaar; David J. Dittman; Amri Napolitano (IRI, 2015)

Alterations to the Bootstrapping Process within Random Forest: A Case Study on Imbalanced Bioinformatics Data. - Taghi M. Khoshgoftaar; Alireza Fazelpour; David J. Dittman; Amri Napolitano (IRI, 2015)

Using Random Undersampling to Alleviate Class Imbalance on Tweet Sentiment Data. - Joseph D. Prusa; Taghi M. Khoshgoftaar; David J. Dittman; Amri Napolitano (IRI, 2015)

Combining Feature Subset Selection and Data Sampling for Coping with Highly Imbalanced Software Data. - Kehan Gao; Taghi M. Khoshgoftaar; Amri Napolitano (SEKE, 2015)

Stability of Three Forms of Feature Selection Methods on Software Engineering Data. - Huanjing Wang; Taghi M. Khoshgoftaar; Amri Napolitano (SEKE, 2015)

Investigating Two Approaches for Adding Feature Ranking to Sampled Ensemble Learning for Software Quality Estimation. - Kehan Gao; Taghi M. Khoshgoftaar; Amri Napolitano (Int. J. Softw. Eng. Knowl. Eng., 2015)

Aggregating Data Sampling with Feature Subset Selection to Address Skewed Software Defect Data. - Kehan Gao; Taghi M. Khoshgoftaar; Amri Napolitano (Int. J. Softw. Eng. Knowl. Eng., 2015)

An Empirical Investigation on Wrapper-Based Feature Selection for Predicting Software Quality. - Huanjing Wang; Taghi M. Khoshgoftaar; Amri Napolitano (Int. J. Softw. Eng. Knowl. Eng., 2015)

RUDY Attack: Detection at the Network Level and Its Important Features. - Maryam M. Najafabadi; Taghi M. Khoshgoftaar; Amri Napolitano; Charles Wheelus (FLAIRS, 2016)

Necessity of Feature Selection when Augmenting Tweet Sentiment Feature Spaces with Emoticons. - Joseph D. Prusa; Taghi M. Khoshgoftaar; Amri Napolitano (FLAIRS, 2016)

Investigating the Variation of Ensemble Size on Bagging-Based Classifier Performance in Imbalanced Bioinformatics Datasets. - Alireza Fazelpour; Taghi M. Khoshgoftaar; David J. Dittman; Amri Napolitano (IRI, 2016)

Is Data Sampling Required When Using Random Forest for Classification on Imbalanced Bioinformatics Data? - David J. Dittman; Taghi M. Khoshgoftaar; Amri Napolitano (Theoretical Information Reuse and Integration, 2016)

Fraud Detection with a Limited Number of Known Fraudulent Medicare Providers. - Richard A. Bauder; Taghi M. Khoshgoftaar; Amri Napolitano (FLAIRS, 2018)