Alireza Fazelpour

According to our database, Alireza Fazelpour authored at least 16 papers between 2012 and 2016.

Collaborative distances:

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

2016

Ensemble Learning Algorithms for the Analysis of Bioinformatics Data.

Alireza Fazelpour

PhD thesis, 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

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

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

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

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

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

The use of balance-aware subsampling for bioinformatics datasets.

Randall Wald, Taghi M. Khoshgoftaar, Alireza Fazelpour

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

A survey of stability analysis of feature subset selection techniques.

Taghi M. Khoshgoftaar, Alireza Fazelpour, Huanjing Wang, Randall Wald

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

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