David J. Dittman

Publication Activity (10 Years)

Years Active: 2010-2016
Publications (10 Years): 1

Top Venues

IRI

ICMLA (2)

FLAIRS Conference

BIBE

Florida Atlantic University, Boca Raton, USA (PHD)

Education History

Florida Atlantic University, Boca Raton, USA

PHD

Publications

Alireza Fazelpour, Taghi M. Khoshgoftaar, David J. Dittman, Amri Napolitano
Investigating the Variation of Ensemble Size on Bagging-Based Classifier Performance in Imbalanced Bioinformatics Datasets. IRI (2016)
Alireza Fazelpour, Taghi M. Khoshgoftaar, David J. Dittman, Amri Napolitano
Does the Inclusion of Data Sampling Improve the Performance of Boosting Algorithms on Imbalanced Bioinformatics Data? ICMLA (2015)
Taghi M. Khoshgoftaar, Alireza Fazelpour, David J. Dittman, Amri Napolitano
Ensemble vs. Data Sampling: Which Option Is Best Suited to Improve Classification Performance of Imbalanced Bioinformatics Data? ICTAI (2015)
Brian Heredia, Taghi M. Khoshgoftaar, Alireza Fazelpour, David J. Dittman
Building an Effective Classification Model for Breast Cancer Patient Response Data. IRI (2015)
Joseph D. Prusa, Taghi M. Khoshgoftaar, David J. Dittman, Amri Napolitano
Using Random Undersampling to Alleviate Class Imbalance on Tweet Sentiment Data. IRI (2015)
Alireza Fazelpour, Taghi M. Khoshgoftaar, David J. Dittman, Amri Napolitano
Choosing an Appropriate Ensemble Classifier for Balanced Bioinformatics Data. IRI (2015)
David J. Dittman, Taghi M. Khoshgoftaar, Amri Napolitano
The Effect of Data Sampling When Using Random Forest on Imbalanced Bioinformatics Data. IRI (2015)
Joseph D. Prusa, Taghi M. Khoshgoftaar, David J. Dittman
Using Ensemble Learners to Improve Classifier Performance on Tweet Sentiment Data. IRI (2015)
David J. Dittman, Taghi M. Khoshgoftaar, Amri Napolitano
Selecting the Appropriate Ensemble Learning Approach for Balanced Bioinformatics Data. FLAIRS Conference (2015)
Alireza Fazelpour, Taghi M. Khoshgoftaar, David J. Dittman, Ahmad Abu Shanab
Observing the Effect of the Choice of Classifier on Bioinformatics Data with Varying Levels of Data Quality and Class Balance. IRI (2015)
Taghi M. Khoshgoftaar, Alireza Fazelpour, David J. Dittman, Amri Napolitano
Alterations to the Bootstrapping Process within Random Forest: A Case Study on Imbalanced Bioinformatics Data. IRI (2015)
Joseph D. Prusa, Taghi M. Khoshgoftaar, David J. Dittman
Impact of Feature Selection Techniques for Tweet Sentiment Classification. FLAIRS Conference (2015)
Alireza Fazelpour, Taghi M. Khoshgoftaar, David J. Dittman, Amri Napolitano
Investigating New Bootstrapping Approaches of Bagging Classifiers to Account for Class Imbalance in Bioinformatics Datasets. ICMLA (2015)
David J. Dittman, Taghi M. Khoshgoftaar, Amri Napolitano
Selecting the Appropriate Data Sampling Approach for Imbalanced and High-Dimensional Bioinformatics Datasets. BIBE (2014)
David J. Dittman, Taghi M. Khoshgoftaar, Randall Wald, Amri Napolitano
Comparison of Data Sampling Approaches for Imbalanced Bioinformatics Data. FLAIRS Conference (2014)
Taghi M. Khoshgoftaar, Alireza Fazelpour, David J. Dittman, Amri Napolitano
Classification performance of three approaches for combining data sampling and gene selection on bioinformatics data. IRI (2014)
David J. Dittman, Taghi M. Khoshgoftaar, Amri Napolitano, Alireza Fazelpour
Select-Bagging: Effectively Combining Gene Selection and Bagging for Balanced Bioinformatics Data. BIBE (2014)
Taghi M. Khoshgoftaar, Alireza Fazelpour, David J. Dittman, Amri Napolitano
Effects of the Use of Boosting on Classification Performance of Imbalanced Bioinformatics Datasets. BIBE (2014)
David J. Dittman, Taghi M. Khoshgoftaar, Randall Wald, Amri Napolitano
Classification Performance of Rank Aggregation Techniques for Ensemble Gene Selection. FLAIRS Conference (2013)
David J. Dittman, Taghi M. Khoshgoftaar, Randall Wald, Amri Napolitano
Maximizing Classification Performance for Patient Response Datasets. ICTAI (2013)
Taghi M. Khoshgoftaar, David J. Dittman, Randall Wald, Amri Napolitano
Contrasting Undersampled Boosting with Internal and External Feature Selection for Patient Response Datasets. ICMLA (2) (2013)
Randall Wald, Taghi M. Khoshgoftaar, David J. Dittman
Ensemble Gene Selection Versus Single Gene Selection: Which Is Better? FLAIRS Conference (2013)
Taghi M. Khoshgoftaar, Randall Wald, David J. Dittman, Amri Napolitano
Feature list aggregation approaches for ensemble gene selection on patient response datasets. IRI (2013)
Taghi M. Khoshgoftaar, David J. Dittman, Randall Wald, Wael Awada
A Review of Ensemble Classification for DNA Microarrays Data. ICTAI (2013)
David J. Dittman, Taghi M. Khoshgoftaar, Randall Wald, Amri Napolitano
Comparison of rank-based vs. score-based aggregation for ensemble gene selection. IRI (2013)
Randall Wald, Taghi M. Khoshgoftaar, David J. Dittman, Amri Napolitano
Random Forest with 200 Selected Features: An Optimal Model for Bioinformatics Research. ICMLA (1) (2013)
Randall Wald, Taghi M. Khoshgoftaar, Alireza Fazelpour, David J. Dittman
Hidden dependencies between class imbalance and difficulty of learning for bioinformatics datasets. IRI (2013)
David J. Dittman, Taghi M. Khoshgoftaar, Randall Wald, Amri Napolitano
Simplifying the Utilization of Machine Learning Techniques for Bioinformatics. ICMLA (2) (2013)
David J. Dittman, Taghi M. Khoshgoftaar, Randall Wald, Amri Napolitano
Gene selection stability's dependence on dataset difficulty. IRI (2013)
Randall Wald, Taghi M. Khoshgoftaar, David J. Dittman
Mean Aggregation versus Robust Rank Aggregation for Ensemble Gene Selection. ICMLA (1) (2012)
Randall Wald, Taghi M. Khoshgoftaar, David J. Dittman
A New Fixed-Overlap Partitioning Algorithm for Determining Stability of Bioinformatics Gene Rankers. ICMLA (2) (2012)
Randall Wald, Taghi M. Khoshgoftaar, David J. Dittman, Wael Awada, Amri Napolitano
An extensive comparison of feature ranking aggregation techniques in bioinformatics. IRI (2012)
David J. Dittman, Taghi M. Khoshgoftaar, Randall Wald, Amri Napolitano
Comparing Two New Gene Selection Ensemble Approaches with the Commonly-Used Approach. ICMLA (2) (2012)
Taghi M. Khoshgoftaar, David J. Dittman, Randall Wald, Alireza Fazelpour
First Order Statistics Based Feature Selection: A Diverse and Powerful Family of Feature Seleciton Techniques. ICMLA (2) (2012)
David J. Dittman, Taghi M. Khoshgoftaar, Randall Wald, Amri Napolitano
Determining the Number of Iterations Appropriate for Ensemble Gene Selection on Microarray Data. ICMLA (1) (2012)
Wael Awada, Taghi M. Khoshgoftaar, David J. Dittman, Randall Wald
The Effect of Number of Iterations on Ensemble Gene Selection. ICMLA (2) (2012)
David J. Dittman, Taghi M. Khoshgoftaar, Randall Wald, Amri Napolitano
Similarity analysis of feature ranking techniques on imbalanced DNA microarray datasets. BIBM (2012)
Wael Awada, Taghi M. Khoshgoftaar, David J. Dittman, Randall Wald, Amri Napolitano
A review of the stability of feature selection techniques for bioinformatics data. IRI (2012)
David J. Dittman, Taghi M. Khoshgoftaar, Randall Wald, Huanjing Wang
Stability Analysis of Feature Ranking Techniques on Biological Datasets. BIBM (2011)
David J. Dittman, Taghi M. Khoshgoftaar, Randall Wald, Amri Napolitano
Random forest: A reliable tool for patient response prediction. BIBM Workshops (2011)
David J. Dittman, Taghi M. Khoshgoftaar, Randall Wald, Jason Van Hulse
Comparative Analysis of DNA Microarray Data through the Use of Feature Selection Techniques. ICMLA (2010)

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Publication Activity (10 Years)

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David J. Dittman