David J. Dittman

According to our database, David J. Dittman authored at least 43 papers between 2010 and 2016.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2016

Is Data Sampling Required When Using Random Forest for Classification on Imbalanced Bioinformatics Data?

David J. Dittman, Taghi M. Khoshgoftaar, Amri Napolitano

Proceedings of the Theoretical Information Reuse and Integration, 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

Proceedings of the 17th IEEE International Conference on Information Reuse and Integration, 2016

2015

Machine learning techniques for alleviating inherent difficulties in bioinformatics data.

David J. Dittman

PhD thesis, 2015

Using Random Undersampling to Alleviate Class Imbalance on Tweet Sentiment Data.

Joseph D. Prusa, Taghi M. Khoshgoftaar, David J. Dittman, Amri Napolitano

Proceedings of the 2015 IEEE International Conference on Information Reuse and Integration, 2015

Using Ensemble Learners to Improve Classifier Performance on Tweet Sentiment Data.

Joseph D. Prusa, Taghi M. Khoshgoftaar, David J. Dittman

Proceedings of the 2015 IEEE International Conference on Information Reuse and Integration, 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

Proceedings of the 2015 IEEE International Conference on Information Reuse and Integration, 2015

Building an Effective Classification Model for Breast Cancer Patient Response Data.

Brian Heredia, Taghi M. Khoshgoftaar, Alireza Fazelpour, David J. Dittman

Proceedings of the 2015 IEEE International Conference on Information Reuse and Integration, 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

Proceedings of the 2015 IEEE International Conference on Information Reuse and Integration, 2015

Choosing an Appropriate Ensemble Classifier for Balanced Bioinformatics Data.

Alireza Fazelpour, Taghi M. Khoshgoftaar, David J. Dittman, Amri Napolitano

Proceedings of the 2015 IEEE International Conference on Information Reuse and Integration, 2015

The Effect of Data Sampling When Using Random Forest on Imbalanced Bioinformatics Data.

David J. Dittman, Taghi M. Khoshgoftaar, Amri Napolitano

Proceedings of the 2015 IEEE International Conference on Information Reuse and Integration, 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

Proceedings of the 27th IEEE International Conference on Tools with Artificial Intelligence, 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

Proceedings of the 14th IEEE International Conference on Machine Learning and Applications, 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

Proceedings of the 14th IEEE International Conference on Machine Learning and Applications, 2015

Impact of Feature Selection Techniques for Tweet Sentiment Classification.

Joseph D. Prusa, Taghi M. Khoshgoftaar, David J. Dittman

Proceedings of the Twenty-Eighth International Florida Artificial Intelligence Research Society Conference, 2015

Selecting the Appropriate Ensemble Learning Approach for Balanced Bioinformatics Data.

David J. Dittman, Taghi M. Khoshgoftaar, Amri Napolitano

Proceedings of the Twenty-Eighth International Florida Artificial Intelligence Research Society Conference, 2015

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

Proceedings of the 15th IEEE International Conference on Information Reuse and Integration, 2014

Comparison of Data Sampling Approaches for Imbalanced Bioinformatics Data.

David J. Dittman, Taghi M. Khoshgoftaar, Randall Wald, Amri Napolitano

Proceedings of the Twenty-Seventh International Florida Artificial Intelligence Research Society Conference, 2014

Effects of the Use of Boosting on Classification Performance of Imbalanced Bioinformatics Datasets.

Taghi M. Khoshgoftaar, Alireza Fazelpour, David J. Dittman, Amri Napolitano

Proceedings of the 2014 IEEE International Conference on Bioinformatics and Bioengineering, 2014

Select-Bagging: Effectively Combining Gene Selection and Bagging for Balanced Bioinformatics Data.

David J. Dittman, Taghi M. Khoshgoftaar, Amri Napolitano, Alireza Fazelpour

Proceedings of the 2014 IEEE International Conference on Bioinformatics and Bioengineering, 2014

Selecting the Appropriate Data Sampling Approach for Imbalanced and High-Dimensional Bioinformatics Datasets.

David J. Dittman, Taghi M. Khoshgoftaar, Amri Napolitano

Proceedings of the 2014 IEEE International Conference on Bioinformatics and Bioengineering, 2014

2013

Hidden dependencies between class imbalance and difficulty of learning for bioinformatics datasets.

Randall Wald, Taghi M. Khoshgoftaar, Alireza Fazelpour, David J. Dittman

Proceedings of the IEEE 14th International Conference on Information Reuse & Integration, 2013

Feature list aggregation approaches for ensemble gene selection on patient response datasets.

Taghi M. Khoshgoftaar, Randall Wald, David J. Dittman, Amri Napolitano

Proceedings of the IEEE 14th International Conference on Information Reuse & Integration, 2013

Gene selection stability's dependence on dataset difficulty.

David J. Dittman, Taghi M. Khoshgoftaar, Randall Wald, Amri Napolitano

Proceedings of the IEEE 14th International Conference on Information Reuse & Integration, 2013

Comparison of rank-based vs. score-based aggregation for ensemble gene selection.

David J. Dittman, Taghi M. Khoshgoftaar, Randall Wald, Amri Napolitano

Proceedings of the IEEE 14th International Conference on Information Reuse & Integration, 2013

A Review of Ensemble Classification for DNA Microarrays Data.

Taghi M. Khoshgoftaar, David J. Dittman, Randall Wald, Wael Awada

Proceedings of the 25th IEEE International Conference on Tools with Artificial Intelligence, 2013

Maximizing Classification Performance for Patient Response Datasets.

David J. Dittman, Taghi M. Khoshgoftaar, Randall Wald, Amri Napolitano

Proceedings of the 25th IEEE International Conference on Tools with Artificial Intelligence, 2013

Random Forest with 200 Selected Features: An Optimal Model for Bioinformatics Research.

Randall Wald, Taghi M. Khoshgoftaar, David J. Dittman, Amri Napolitano

Proceedings of the 12th International Conference on Machine Learning and Applications, 2013

Contrasting Undersampled Boosting with Internal and External Feature Selection for Patient Response Datasets.

Taghi M. Khoshgoftaar, David J. Dittman, Randall Wald, Amri Napolitano

Proceedings of the 12th International Conference on Machine Learning and Applications, 2013

Simplifying the Utilization of Machine Learning Techniques for Bioinformatics.

David J. Dittman, Taghi M. Khoshgoftaar, Randall Wald, Amri Napolitano

Proceedings of the 12th International Conference on Machine Learning and Applications, 2013

Ensemble Gene Selection Versus Single Gene Selection: Which Is Better?

Randall Wald, Taghi M. Khoshgoftaar, David J. Dittman

Proceedings of the Twenty-Sixth International Florida Artificial Intelligence Research Society Conference, 2013

Classification Performance of Rank Aggregation Techniques for Ensemble Gene Selection.

David J. Dittman, Taghi M. Khoshgoftaar, Randall Wald, Amri Napolitano

Proceedings of the Twenty-Sixth International Florida Artificial Intelligence Research Society Conference, 2013

2012

An extensive comparison of feature ranking aggregation techniques in bioinformatics.

Randall Wald, Taghi M. Khoshgoftaar, David J. Dittman, Wael Awada, Amri Napolitano

Proceedings of the IEEE 13th International Conference on Information Reuse & Integration, 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

Proceedings of the IEEE 13th International Conference on Information Reuse & Integration, 2012

A New Fixed-Overlap Partitioning Algorithm for Determining Stability of Bioinformatics Gene Rankers.

Randall Wald, Taghi M. Khoshgoftaar, David J. Dittman

Proceedings of the 11th International Conference on Machine Learning and Applications, 2012

Mean Aggregation versus Robust Rank Aggregation for Ensemble Gene Selection.

Randall Wald, Taghi M. Khoshgoftaar, David J. Dittman

Proceedings of the 11th International Conference on Machine Learning and Applications, 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

Proceedings of the 11th International Conference on Machine Learning and Applications, 2012

Comparing Two New Gene Selection Ensemble Approaches with the Commonly-Used Approach.

David J. Dittman, Taghi M. Khoshgoftaar, Randall Wald, Amri Napolitano

Proceedings of the 11th International Conference on Machine Learning and Applications, 2012

Determining the Number of Iterations Appropriate for Ensemble Gene Selection on Microarray Data.

David J. Dittman, Taghi M. Khoshgoftaar, Randall Wald, Amri Napolitano

Proceedings of the 11th International Conference on Machine Learning and Applications, 2012

The Effect of Number of Iterations on Ensemble Gene Selection.

Wael Awada, Taghi M. Khoshgoftaar, David J. Dittman, Randall Wald

Proceedings of the 11th International Conference on Machine Learning and Applications, 2012

Similarity analysis of feature ranking techniques on imbalanced DNA microarray datasets.

David J. Dittman, Taghi M. Khoshgoftaar, Randall Wald, Amri Napolitano

Proceedings of the 2012 IEEE International Conference on Bioinformatics and Biomedicine, 2012

2011

Stability Analysis of Feature Ranking Techniques on Biological Datasets.

David J. Dittman, Taghi M. Khoshgoftaar, Randall Wald, Huanjing Wang

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2011

Random forest: A reliable tool for patient response prediction.

David J. Dittman, Taghi M. Khoshgoftaar, Randall Wald, Amri Napolitano

Proceedings of the 2011 IEEE International Conference on Bioinformatics and Biomedicine Workshops, 2011

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

Proceedings of the Ninth International Conference on Machine Learning and Applications, 2010