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)

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

Stability Analysis of Feature Ranking Techniques on Biological Datasets. - David J. Dittman; Taghi M. Khoshgoftaar; Randall Wald; Huanjing Wang (BIBM, 2011)

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

The Effect of Number of Iterations on Ensemble Gene Selection. - Wael Awada; Taghi M. Khoshgoftaar; David J. Dittman; Randall Wald (ICMLA (2), 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)

First Order Statistics Based Feature Selection: A Diverse and Powerful Family of Feature Seleciton Techniques. - Taghi M. Khoshgoftaar; David J. Dittman; Randall Wald; Alireza Fazelpour (ICMLA (2), 2012)

Mean Aggregation versus Robust Rank Aggregation for Ensemble Gene Selection. - Randall Wald; Taghi M. Khoshgoftaar; David J. Dittman (ICMLA (1), 2012)

A New Fixed-Overlap Partitioning Algorithm for Determining Stability of Bioinformatics Gene Rankers. - Randall Wald; Taghi M. Khoshgoftaar; David J. Dittman (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)

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

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

Ensemble Gene Selection Versus Single Gene Selection: Which Is Better? - Randall Wald; Taghi M. Khoshgoftaar; David J. Dittman (FLAIRS, 2013)

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

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

A Review of Ensemble Classification for DNA Microarrays Data. - Taghi M. Khoshgoftaar; David J. Dittman; Randall Wald; Wael Awada (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)

Hidden dependencies between class imbalance and difficulty of learning for bioinformatics datasets. - Randall Wald; Taghi M. Khoshgoftaar; Alireza Fazelpour; David J. Dittman (IRI, 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)

Comparison of Data Sampling Approaches for Imbalanced Bioinformatics Data. - David J. Dittman; Taghi M. Khoshgoftaar; Randall Wald; 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)

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

Impact of Feature Selection Techniques for Tweet Sentiment Classification. - Joseph D. Prusa; Taghi M. Khoshgoftaar; David J. Dittman (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)

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)

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)

Observing the Effect of the Choice of Classifier on Bioinformatics Data with Varying Levels of Data Quality and Class Balance. - Alireza Fazelpour; Taghi M. Khoshgoftaar; David J. Dittman; Ahmad Abu Shanab (IRI, 2015)

Building an Effective Classification Model for Breast Cancer Patient Response Data. - Brian Heredia; Taghi M. Khoshgoftaar; Alireza Fazelpour; David J. Dittman (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 Ensemble Learners to Improve Classifier Performance on Tweet Sentiment Data. - Joseph D. Prusa; Taghi M. Khoshgoftaar; David J. Dittman (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)

Machine learning techniques for alleviating inherent difficulties in bioinformatics data. - David J. Dittman (2015)

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)