Amri Napolitano

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A comparative study of iterative and non-iterative feature selection techniques for software defect prediction

T. Khoshgoftaar, K. Gao, Amri Napolitano, 2013, Information Systems Frontiers.

RUSBoost: A Hybrid Approach to Alleviating Class Imbalance

Taghi M. Khoshgoftaar, Jason Van Hulse, Chris Seiffert, 2010, IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans.

Supervised Neural Network Modeling: An Empirical Investigation Into Learning From Imbalanced Data With Labeling Errors

Taghi M. Khoshgoftaar, Jason Van Hulse, Amri Napolitano, 2010, IEEE Transactions on Neural Networks.

Using Classifier-Based Nominal Imputation to Improve Machine Learning

Taghi M. Khoshgoftaar, Amri Napolitano, Xiaoyuan Su, 2011, PAKDD.

Threshold-based feature selection techniques for high-dimensional bioinformatics data

Taghi M. Khoshgoftaar, Jason Van Hulse, Amri Napolitano, 2012, Network Modeling Analysis in Health Informatics and Bioinformatics.

Threshold-based feature selection techniques for high-dimensional bioinformatics data

T. Khoshgoftaar, J. V. Hulse, Amri Napolitano, 2012, Network Modeling Analysis in Health Informatics and Bioinformatics.

Using Twitter Content to Predict Psychopathy

Taghi M. Khoshgoftaar, Amri Napolitano, Randall Wald, 2012, 2012 11th International Conference on Machine Learning and Applications.

Comparing Boosting and Bagging Techniques With Noisy and Imbalanced Data

Taghi M. Khoshgoftaar, Jason Van Hulse, Amri Napolitano, 2011, IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans.

A review of the stability of feature selection techniques for bioinformatics data

Taghi M. Khoshgoftaar, Amri Napolitano, Randall Wald, 2012, 2012 IEEE 13th International Conference on Information Reuse & Integration (IRI).

Experimental perspectives on learning from imbalanced data

Taghi M. Khoshgoftaar, Jason Van Hulse, Amri Napolitano, 2007, ICML '07.

Feature Selection with High-Dimensional Imbalanced Data

Taghi M. Khoshgoftaar, Jason Van Hulse, Amri Napolitano, 2009, 2009 IEEE International Conference on Data Mining Workshops.

An extensive comparison of feature ranking aggregation techniques in bioinformatics

Taghi M. Khoshgoftaar, Amri Napolitano, Randall Wald, 2012, 2012 IEEE 13th International Conference on Information Reuse & Integration (IRI).

RUSBoost: Improving classification performance when training data is skewed

Taghi M. Khoshgoftaar, Jason Van Hulse, Chris Seiffert, 2008, 2008 19th International Conference on Pattern Recognition.

Comparison of Data Sampling Approaches for Imbalanced Bioinformatics Data

Taghi M. Khoshgoftaar, Amri Napolitano, Randall Wald, 2014, FLAIRS.

Mining Data with Rare Events: A Case Study

Taghi M. Khoshgoftaar, Jason Van Hulse, Chris Seiffert, 2007, 19th IEEE International Conference on Tools with Artificial Intelligence(ICTAI 2007).

A Study on First Order Statistics-Based Feature Selection Techniques on Software Metric Data

Taghi M. Khoshgoftaar, Amri Napolitano, Huanjing Wang, 2013, International Conference on Software Engineering and Knowledge Engineering.

Stability of Three Forms of Feature Selection Methods on Software Engineering Data

Taghi M. Khoshgoftaar, Amri Napolitano, Huanjing Wang, 2015, SEKE.

An exploration of learning when data is noisy and imbalanced

Taghi M. Khoshgoftaar, Jason Van Hulse, Amri Napolitano, 2011, Intell. Data Anal..

Evaluating the impact of data quality on sampling

Taghi M. Khoshgoftaar, Jason Van Hulse, Amri Napolitano, 2010, 2010 IEEE International Conference on Information Reuse & Integration.

Skewed Class Distributions and Mislabeled Examples

Taghi M. Khoshgoftaar, Jason Van Hulse, Amri Napolitano, 2007, Seventh IEEE International Conference on Data Mining Workshops (ICDMW 2007).

2010 Ninth International Conference on Machine Learning and Applications ICMLA 2010 Table of Contents

Taghi M. Khoshgoftaar, Jason Van Hulse, George Kesidis, 2010 .

An empirical comparison of repetitive undersampling techniques

Taghi M. Khoshgoftaar, Jason Van Hulse, Amri Napolitano, 2009, 2009 IEEE International Conference on Information Reuse & Integration.

Using Random Undersampling to Alleviate Class Imbalance on Tweet Sentiment Data

Taghi M. Khoshgoftaar, Amri Napolitano, Joseph D. Prusa, 2015, 2015 IEEE International Conference on Information Reuse and Integration.

Software measurement data reduction using ensemble techniques

Amri Napolitano, Huanjing Wang, Taghi M. Khoshgoftaar, 2012, Neurocomputing.

Fraud Detection with a Limited Number of Known Fraudulent Medicare Providers

Taghi M. Khoshgoftaar, Amri Napolitano, Richard A. Bauder, 2018, The Florida AI Research Society.

A Comparative Study of Data Sampling and Cost Sensitive Learning

Taghi M. Khoshgoftaar, Jason Van Hulse, Chris Seiffert, 2008, 2008 IEEE International Conference on Data Mining Workshops.

Resampling or Reweighting: A Comparison of Boosting Implementations

Taghi M. Khoshgoftaar, Jason Van Hulse, Chris Seiffert, 2008, 2008 20th IEEE International Conference on Tools with Artificial Intelligence.

Classification techniques for noisy and imbalanced data

Amri Napolitano, Amri Napolitano, 2009 .

Learning with limited minority class data

Taghi M. Khoshgoftaar, Jason Van Hulse, Chris Seiffert, 2007, Sixth International Conference on Machine Learning and Applications (ICMLA 2007).

An Empirical Evaluation of Repetitive Undersampling Techniques

Taghi M. Khoshgoftaar, Jason Van Hulse, Amri Napolitano, 2010, Int. J. Softw. Eng. Knowl. Eng..

A comparative study of iterative and non-iterative feature selection techniques for software defect prediction

Amri Napolitano, Kehan Gao, Randall Wald, 2013, Information Systems Frontiers.

Identifying learners robust to low quality data

Taghi M. Khoshgoftaar, Jason Van Hulse, Amri Napolitano, 2008, 2008 IEEE International Conference on Information Reuse and Integration.

Investigating the Variation of Ensemble Size on Bagging-Based Classifier Performance in Imbalanced Bioinformatics Datasets

Taghi M. Khoshgoftaar, Amri Napolitano, David J. Dittman, 2016, 2016 IEEE 17th International Conference on Information Reuse and Integration (IRI).

Necessity of Feature Selection when Augmenting Tweet Sentiment Feature Spaces with Emoticons

Taghi M. Khoshgoftaar, Amri Napolitano, Joseph D. Prusa, 2016, FLAIRS.

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

Taghi M. Khoshgoftaar, Amri Napolitano, David J. Dittman, 2015, 2015 IEEE International Conference on Information Reuse and Integration.

Choosing an Appropriate Ensemble Classifier for Balanced Bioinformatics Data

Taghi M. Khoshgoftaar, Amri Napolitano, David J. Dittman, 2015, 2015 IEEE International Conference on Information Reuse and Integration.

Selecting the Appropriate Ensemble Learning Approach for Balanced Bioinformatics Data

Taghi M. Khoshgoftaar, Amri Napolitano, David J. Dittman, 2015, FLAIRS.

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

Taghi M. Khoshgoftaar, Amri Napolitano, David J. Dittman, 2014, 2014 IEEE International Conference on Bioinformatics and Bioengineering.

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

Taghi M. Khoshgoftaar, Amri Napolitano, David J. Dittman, 2014, 2014 IEEE International Conference on Bioinformatics and Bioengineering.

Stability of filter- and wrapper-based software metric selection techniques

Taghi M. Khoshgoftaar, Amri Napolitano, Huanjing Wang, 2014, Proceedings of the 2014 IEEE 15th International Conference on Information Reuse and Integration (IEEE IRI 2014).

Improving software quality estimation by combining feature selection strategies with sampled ensemble learning

Taghi M. Khoshgoftaar, Amri Napolitano, Kehan Gao, 2014, Proceedings of the 2014 IEEE 15th International Conference on Information Reuse and Integration (IEEE IRI 2014).

An Empirical Study on Wrapper-Based Feature Selection for Software Engineering Data

Taghi M. Khoshgoftaar, Amri Napolitano, Huanjing Wang, 2013, 2013 12th International Conference on Machine Learning and Applications.

Comparative Analysis on the Stability of Feature Selection Techniques Using Three Frameworks on Biological Datasets

Taghi M. Khoshgoftaar, Amri Napolitano, Randall Wald, 2013, 2013 12th International Conference on Machine Learning and Applications.

Improving Software Quality Estimation by Combining Boosting and Feature Selection

Taghi M. Khoshgoftaar, Amri Napolitano, Kehan Gao, 2013, 2013 12th International Conference on Machine Learning and Applications.

Simplifying the Utilization of Machine Learning Techniques for Bioinformatics

Taghi M. Khoshgoftaar, Amri Napolitano, Randall Wald, 2013, 2013 12th International Conference on Machine Learning and Applications.

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

Taghi M. Khoshgoftaar, Amri Napolitano, Randall Wald, 2013, 2013 12th International Conference on Machine Learning and Applications.

Comparison of Stability for Different Families of Filter-Based and Wrapper-Based Feature Selection

Taghi M. Khoshgoftaar, Amri Napolitano, Randall Wald, 2013, 2013 12th International Conference on Machine Learning and Applications.

Stability of Filter- and Wrapper-Based Feature Subset Selection

Taghi M. Khoshgoftaar, Amri Napolitano, Randall Wald, 2013, 2013 IEEE 25th International Conference on Tools with Artificial Intelligence.

Maximizing Classification Performance for Patient Response Datasets

Taghi M. Khoshgoftaar, Amri Napolitano, Randall Wald, 2013, 2013 IEEE 25th International Conference on Tools with Artificial Intelligence.

How the Choice of Wrapper Learner and Performance Metric Affects Subset Evaluation

Taghi M. Khoshgoftaar, Amri Napolitano, Randall Wald, 2013, 2013 IEEE 25th International Conference on Tools with Artificial Intelligence.

Should the Same Learners Be Used Both within Wrapper Feature Selection and for Building Classification Models?

Taghi M. Khoshgoftaar, Amri Napolitano, Randall Wald, 2013, 2013 IEEE 25th International Conference on Tools with Artificial Intelligence.

Which Users Reply to and Interact with Twitter Social Bots?

Taghi M. Khoshgoftaar, Amri Napolitano, Randall Wald, 2013, 2013 IEEE 25th International Conference on Tools with Artificial Intelligence.

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