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    First name: Amri
    Last name: Napolitano
    DBLP: 27/6839
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    Book chapter
    David J. Dittman, Taghi M. Khoshgoftaar, Amri Napolitano.
    Is Data Sampling Required When Using Random Forest for Classification on Imbalanced Bioinformatics Data?
    Theoretical Information Reuse and Integration 2016, Volume 446 (0) 2016
    Conference paper
    Joseph D. Prusa, Taghi M. Khoshgoftaar, Amri Napolitano.
    Necessity of Feature Selection when Augmenting Tweet Sentiment Feature Spaces with Emoticons.
    Proceedings of the Twenty-Ninth International Florida Artificial Intelligence Research Society Conference, FLAIRS 2016, Key Largo, Florida, May 16-18, 2016. 2016 (0) 2016
    Conference paper
    Maryam M. Najafabadi, Taghi M. Khoshgoftaar, Amri Napolitano, Charles Wheelus.
    RUDY Attack: Detection at the Network Level and Its Important Features.
    Proceedings of the Twenty-Ninth International Florida Artificial Intelligence Research Society Conference, FLAIRS 2016, Key Largo, Florida, May 16-18, 2016. 2016 (0) 2016
    Conference paper
    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.
    17th IEEE International Conference on Information Reuse and Integration, IRI 2016, Pittsburgh, PA, USA, July 28-30, 2016 2016 (0) 2016
    Conference paper
    David J. Dittman, Taghi M. Khoshgoftaar, Amri Napolitano.
    Selecting the Appropriate Ensemble Learning Approach for Balanced Bioinformatics Data.
    Proceedings of the Twenty-Eighth International Florida Artificial Intelligence Research Society Conference, FLAIRS 2015, Hollywood, Florida. May 18-20, 2015. 2015 (0) 2015
    Journal article
    Huanjing Wang, Taghi M. Khoshgoftaar, Amri Napolitano.
    An Empirical Investigation on Wrapper-Based Feature Selection for Predicting Software Quality.
    International Journal of Software Engineering and Knowledge Engineering 2015, Volume 25 (0) 2015
    Journal article
    Kehan Gao, Taghi M. Khoshgoftaar, Amri Napolitano.
    Investigating Two Approaches for Adding Feature Ranking to Sampled Ensemble Learning for Software Quality Estimation.
    International Journal of Software Engineering and Knowledge Engineering 2015, Volume 25 (0) 2015
    Conference paper
    Huanjing Wang, Taghi M. Khoshgoftaar, Amri Napolitano.
    Stability of Three Forms of Feature Selection Methods on Software Engineering Data.
    The 27th International Conference on Software Engineering and Knowledge Engineering, SEKE 2015, Wyndham Pittsburgh University Center, Pittsburgh, PA, USA, July 6-8, 2015 2015 (0) 2015
    Conference paper
    Kehan Gao, Taghi M. Khoshgoftaar, Amri Napolitano.
    Combining Feature Subset Selection and Data Sampling for Coping with Highly Imbalanced Software Data.
    The 27th International Conference on Software Engineering and Knowledge Engineering, SEKE 2015, Wyndham Pittsburgh University Center, Pittsburgh, PA, USA, July 6-8, 2015 2015 (0) 2015
    Conference paper
    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.
    14th IEEE International Conference on Machine Learning and Applications, ICMLA 2015, Miami, FL, USA, December 9-11, 2015 2015 (0) 2015
    Conference paper
    Kehan Gao, Taghi M. Khoshgoftaar, Amri Napolitano.
    Aggregating Data Sampling with Feature Subset Selection to Address Skewed Software Defect Data.
    International Journal of Software Engineering and Knowledge Engineering 2015, Volume 25 (0) 2015
    Conference paper
    Joseph D. Prusa, Taghi M. Khoshgoftaar, Amri Napolitano.
    Using Feature Selection in Combination with Ensemble Learning Techniques to Improve Tweet Sentiment Classification Performance.
    27th IEEE International Conference on Tools with Artificial Intelligence, ICTAI 2015, Vietri sul Mare, Italy, November 9-11, 2015 2015 (0) 2015
    Conference paper
    David J. Dittman, Taghi M. Khoshgoftaar, Amri Napolitano.
    The Effect of Data Sampling When Using Random Forest on Imbalanced Bioinformatics Data.
    2015 IEEE International Conference on Information Reuse and Integration, IRI 2015, San Francisco, CA, USA, August 13-15, 2015 2015 (0) 2015
    Conference paper
    Joseph D. Prusa, Taghi M. Khoshgoftaar, Amri Napolitano.
    Utilizing Ensemble, Data Sampling and Feature Selection Techniques for Improving Classification Performance on Tweet Sentiment Data.
    14th IEEE International Conference on Machine Learning and Applications, ICMLA 2015, Miami, FL, USA, December 9-11, 2015 2015 (0) 2015
    Conference paper
    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?
    14th IEEE International Conference on Machine Learning and Applications, ICMLA 2015, Miami, FL, USA, December 9-11, 2015 2015 (0) 2015
    Conference paper
    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?
    27th IEEE International Conference on Tools with Artificial Intelligence, ICTAI 2015, Vietri sul Mare, Italy, November 9-11, 2015 2015 (0) 2015
    Conference paper
    Alireza Fazelpour, Taghi M. Khoshgoftaar, David J. Dittman, Amri Napolitano.
    Choosing an Appropriate Ensemble Classifier for Balanced Bioinformatics Data.
    2015 IEEE International Conference on Information Reuse and Integration, IRI 2015, San Francisco, CA, USA, August 13-15, 2015 2015 (0) 2015
    Conference paper
    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.
    2015 IEEE International Conference on Information Reuse and Integration, IRI 2015, San Francisco, CA, USA, August 13-15, 2015 2015 (0) 2015
    Conference paper
    Joseph D. Prusa, Taghi M. Khoshgoftaar, David J. Dittman, Amri Napolitano.
    Using Random Undersampling to Alleviate Class Imbalance on Tweet Sentiment Data.
    2015 IEEE International Conference on Information Reuse and Integration, IRI 2015, San Francisco, CA, USA, August 13-15, 2015 2015 (0) 2015
    Conference paper
    David J. Dittman, Taghi M. Khoshgoftaar, Randall Wald, Amri Napolitano.
    Comparison of Data Sampling Approaches for Imbalanced Bioinformatics Data.
    Proceedings of the Twenty-Seventh International Florida Artificial Intelligence Research Society Conference, FLAIRS 2014, Pensacola Beach, Florida, May 21-23, 2014. 2014 (0) 2014
    Conference paper
    Randall Wald, Taghi M. Khoshgoftaar, Amri Napolitano.
    Optimizing Wrapper-Based Feature Selection for Use on Bioinformatics Data.
    Proceedings of the Twenty-Seventh International Florida Artificial Intelligence Research Society Conference, FLAIRS 2014, Pensacola Beach, Florida, May 21-23, 2014. 2014 (0) 2014
    Conference paper
    Taghi M. Khoshgoftaar, Kehan Gao, Amri Napolitano, Randall Wald.
    A comparative study of iterative and non-iterative feature selection techniques for software defect prediction.
    Information Systems Frontiers 2014, Volume 16 (0) 2014
    Conference paper
    Huanjing Wang, Taghi M. Khoshgoftaar, Amri Napolitano.
    Choosing the Best Classification Performance Metric for Wrapper-based Software Metric Selection for Defect Prediction.
    The 26th International Conference on Software Engineering and Knowledge Engineering, Hyatt Regency, Vancouver, BC, Canada, July 1-3, 2013. 2014 (0) 2014
    Conference paper
    Kehan Gao, Taghi M. Khoshgoftaar, Amri Napolitano.
    Comparing Two Approaches for Adding Feature Ranking to Sampled Ensemble Learning for Software Quality Estimation.
    The 26th International Conference on Software Engineering and Knowledge Engineering, Hyatt Regency, Vancouver, BC, Canada, July 1-3, 2013. 2014 (0) 2014
    Conference paper
    Randall Wald, Taghi M. Khoshgoftaar, Richard Zuech, Amri Napolitano.
    Network Traffic Prediction Models for Near- and Long-Term Predictions.
    2014 IEEE International Conference on Bioinformatics and Bioengineering, Boca Raton, FL, USA, November 10-12, 2014 2014 (0) 2014
    Conference paper
    Randall Wald, Taghi M. Khoshgoftaar, Amri Napolitano.
    Using Correlation-Based Feature Selection for a Diverse Collection of Bioinformatics Datasets.
    2014 IEEE International Conference on Bioinformatics and Bioengineering, Boca Raton, FL, USA, November 10-12, 2014 2014 (0) 2014
    Conference paper
    David J. Dittman, Taghi M. Khoshgoftaar, Amri Napolitano, Alireza Fazelpour.
    Select-Bagging: Effectively Combining Gene Selection and Bagging for Balanced Bioinformatics Data.
    2014 IEEE International Conference on Bioinformatics and Bioengineering, Boca Raton, FL, USA, November 10-12, 2014 2014 (0) 2014
    Conference paper
    Taghi M. Khoshgoftaar, Alireza Fazelpour, David J. Dittman, Amri Napolitano.
    Effects of the Use of Boosting on Classification Performance of Imbalanced Bioinformatics Datasets.
    2014 IEEE International Conference on Bioinformatics and Bioengineering, Boca Raton, FL, USA, November 10-12, 2014 2014 (0) 2014
    Conference paper
    David J. Dittman, Taghi M. Khoshgoftaar, Amri Napolitano.
    Selecting the Appropriate Data Sampling Approach for Imbalanced and High-Dimensional Bioinformatics Datasets.
    2014 IEEE International Conference on Bioinformatics and Bioengineering, Boca Raton, FL, USA, November 10-12, 2014 2014 (0) 2014
    Conference paper
    Ahmad Abu Shanab, Taghi M. Khoshgoftaar, Randall Wald, Amri Napolitano.
    How ranker and learner choice affects classification performance on noisy bioinformatics data.
    Proceedings of the 15th IEEE International Conference on Information Reuse and Integration, IRI 2014, Redwood City, CA, USA, August 13-15, 2014 2014 (0) 2014
    Conference paper
    Huanjing Wang, Taghi M. Khoshgoftaar, Amri Napolitano.
    Stability of filter- and wrapper-based software metric selection techniques.
    Proceedings of the 15th IEEE International Conference on Information Reuse and Integration, IRI 2014, Redwood City, CA, USA, August 13-15, 2014 2014 (0) 2014
    Conference paper
    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.
    Proceedings of the 15th IEEE International Conference on Information Reuse and Integration, IRI 2014, Redwood City, CA, USA, August 13-15, 2014 2014 (0) 2014
    Conference paper
    Kehan Gao, Taghi M. Khoshgoftaar, Amri Napolitano.
    The Use of Ensemble-Based Data Preprocessing Techniques for Software Defect Prediction.
    International Journal of Software Engineering and Knowledge Engineering 2014, Volume 24 (0) 2014
    Conference paper
    Taghi M. Khoshgoftaar, Kehan Gao, Amri Napolitano.
    Improving software quality estimation by combining feature selection strategies with sampled ensemble learning.
    Proceedings of the 15th IEEE International Conference on Information Reuse and Integration, IRI 2014, Redwood City, CA, USA, August 13-15, 2014 2014 (0) 2014
    Conference paper
    David J. Dittman, Taghi M. Khoshgoftaar, Randall Wald, Amri Napolitano.
    Classification Performance of Rank Aggregation Techniques for Ensemble Gene Selection.
    Proceedings of the Twenty-Sixth International Florida Artificial Intelligence Research Society Conference, FLAIRS 2013, St. Pete Beach, Florida. May 22-24, 2013. 2013 (0) 2013
    Conference paper
    Randall Wald, Taghi M. Khoshgoftaar, Amri Napolitano.
    The importance of performance metrics within wrapper feature selection.
    IEEE 14th International Conference on Information Reuse Integration, IRI 2013, San Francisco, CA, USA, August 14-16, 2013 2013 (0) 2013
    Conference paper
    Randall Wald, Taghi M. Khoshgoftaar, Amri Napolitano.
    Stability of Filter- and Wrapper-Based Feature Subset Selection.
    2013 IEEE 25th International Conference on Tools with Artificial Intelligence, Herndon, VA, USA, November 4-6, 2013 2013 (0) 2013
    Conference paper
    Randall Wald, Taghi M. Khoshgoftaar, Amri Napolitano.
    How the Choice of Wrapper Learner and Performance Metric Affects Subset Evaluation.
    2013 IEEE 25th International Conference on Tools with Artificial Intelligence, Herndon, VA, USA, November 4-6, 2013 2013 (0) 2013
    Conference paper
    David J. Dittman, Taghi M. Khoshgoftaar, Randall Wald, Amri Napolitano.
    Maximizing Classification Performance for Patient Response Datasets.
    2013 IEEE 25th International Conference on Tools with Artificial Intelligence, Herndon, VA, USA, November 4-6, 2013 2013 (0) 2013
    Conference paper
    Randall Wald, Taghi M. Khoshgoftaar, Amri Napolitano, Chris Sumner.
    Which Users Reply to and Interact with Twitter Social Bots?
    2013 IEEE 25th International Conference on Tools with Artificial Intelligence, Herndon, VA, USA, November 4-6, 2013 2013 (0) 2013
    Conference paper
    Randall Wald, Taghi M. Khoshgoftaar, Amri Napolitano.
    Should the Same Learners Be Used Both within Wrapper Feature Selection and for Building Classification Models?
    2013 IEEE 25th International Conference on Tools with Artificial Intelligence, Herndon, VA, USA, November 4-6, 2013 2013 (0) 2013
    Conference paper
    Randall Wald, Taghi M. Khoshgoftaar, Amri Napolitano.
    Comparison of Stability for Different Families of Filter-Based and Wrapper-Based Feature Selection.
    12th International Conference on Machine Learning and Applications, ICMLA 2013, Miami, FL, USA, December 4-7, 2013, Volume 2 2013 (0) 2013
    Conference paper
    Randall Wald, Taghi M. Khoshgoftaar, Ahmad Abu Shanab, Amri Napolitano.
    Comparative Analysis on the Stability of Feature Selection Techniques Using Three Frameworks on Biological Datasets.
    12th International Conference on Machine Learning and Applications, ICMLA 2013, Miami, FL, USA, December 4-7, 2013, Volume 1 2013 (0) 2013
    Conference paper
    Kehan Gao, Taghi M. Khoshgoftaar, Amri Napolitano.
    Improving Software Quality Estimation by Combining Boosting and Feature Selection.
    12th International Conference on Machine Learning and Applications, ICMLA 2013, Miami, FL, USA, December 4-7, 2013, Volume 1 2013 (0) 2013
    Conference paper
    Huanjing Wang, Taghi M. Khoshgoftaar, Amri Napolitano.
    An Empirical Study on Wrapper-Based Feature Selection for Software Engineering Data.
    12th International Conference on Machine Learning and Applications, ICMLA 2013, Miami, FL, USA, December 4-7, 2013, Volume 2 2013 (0) 2013
    Conference paper
    Randall Wald, Taghi M. Khoshgoftaar, David J. Dittman, Amri Napolitano.
    Random Forest with 200 Selected Features: An Optimal Model for Bioinformatics Research.
    12th International Conference on Machine Learning and Applications, ICMLA 2013, Miami, FL, USA, December 4-7, 2013, Volume 1 2013 (0) 2013
    Conference paper
    Taghi M. Khoshgoftaar, David J. Dittman, Randall Wald, Amri Napolitano.
    Contrasting Undersampled Boosting with Internal and External Feature Selection for Patient Response Datasets.
    12th International Conference on Machine Learning and Applications, ICMLA 2013, Miami, FL, USA, December 4-7, 2013, Volume 2 2013 (0) 2013
    Conference paper
    David J. Dittman, Taghi M. Khoshgoftaar, Randall Wald, Amri Napolitano.
    Simplifying the Utilization of Machine Learning Techniques for Bioinformatics.
    12th International Conference on Machine Learning and Applications, ICMLA 2013, Miami, FL, USA, December 4-7, 2013, Volume 2 2013 (0) 2013
    Conference paper
    Kehan Gao, Taghi M. Khoshgoftaar, Amri Napolitano.
    Exploring Ensemble-Based Data Preprocessing Techniques for Software Quality Estimation.
    The 25th International Conference on Software Engineering and Knowledge Engineering, Boston, MA, USA, June 27-29, 2013. 2013 (0) 2013
    Conference paper
    Huanjing Wang, Taghi M. Khoshgoftaar, Randall Wald, Amri Napolitano.
    A Study on First Order Statistics-Based Feature Selection Techniques on Software Metric Data.
    The 25th International Conference on Software Engineering and Knowledge Engineering, Boston, MA, USA, June 27-29, 2013. 2013 (0) 2013
    Conference paper
    Randall Wald, Taghi M. Khoshgoftaar, Amri Napolitano, Chris Sumner.
    Predicting susceptibility to social bots on Twitter.
    IEEE 14th International Conference on Information Reuse Integration, IRI 2013, San Francisco, CA, USA, August 14-16, 2013 2013 (0) 2013
    Conference paper
    Randall Wald, Taghi M. Khoshgoftaar, Amri Napolitano.
    Filter- and wrapper-based feature selection for predicting user interaction with Twitter bots.
    IEEE 14th International Conference on Information Reuse Integration, IRI 2013, San Francisco, CA, USA, August 14-16, 2013 2013 (0) 2013
    Conference paper
    Taghi M. Khoshgoftaar, Randall Wald, David J. Dittman, Amri Napolitano.
    Feature list aggregation approaches for ensemble gene selection on patient response datasets.
    IEEE 14th International Conference on Information Reuse Integration, IRI 2013, San Francisco, CA, USA, August 14-16, 2013 2013 (0) 2013
    Conference paper
    David J. Dittman, Taghi M. Khoshgoftaar, Randall Wald, Amri Napolitano.
    Comparison of rank-based vs. score-based aggregation for ensemble gene selection.
    IEEE 14th International Conference on Information Reuse Integration, IRI 2013, San Francisco, CA, USA, August 14-16, 2013 2013 (0) 2013
    Conference paper
    David J. Dittman, Taghi M. Khoshgoftaar, Randall Wald, Amri Napolitano.
    Gene selection stability's dependence on dataset difficulty.
    IEEE 14th International Conference on Information Reuse Integration, IRI 2013, San Francisco, CA, USA, August 14-16, 2013 2013 (0) 2013
    Conference paper
    Taghi M. Khoshgoftaar, Kehan Gao, Amri Napolitano.
    An Empirical Study of Feature Ranking Techniques for Software Quality Prediction.
    International Journal of Software Engineering and Knowledge Engineering 2012, Volume 22 (0) 2012
    Journal article
    Huanjing Wang, Taghi M. Khoshgoftaar, Amri Napolitano.
    Software measurement data reduction using ensemble techniques.
    Neurocomputing 2012, Volume 92 (0) 2012
    Conference paper
    Huanjing Wang, Taghi M. Khoshgoftaar, Randall Wald, Amri Napolitano.
    An Empirical Study of Software Metric Selection Techniques for Defect Prediction.
    Proceedings of the 24th International Conference on Software Engineering Knowledge Engineering (SEKE'2012), Hotel Sofitel, Redwood City, San Francisco Bay, USA July 1-3, 2012 2012 (0) 2012
    Conference paper
    Kehan Gao, Taghi M. Khoshgoftaar, Amri Napolitano.
    Stability of Filter-Based Feature Selection Methods for Imbalanced Software Measurement Data.
    Proceedings of the 24th International Conference on Software Engineering Knowledge Engineering (SEKE'2012), Hotel Sofitel, Redwood City, San Francisco Bay, USA July 1-3, 2012 2012 (0) 2012
    Conference paper
    Wael Awada, Taghi M. Khoshgoftaar, David J. Dittman, Randall Wald, Amri Napolitano.
    A review of the stability of feature selection techniques for bioinformatics data.
    IEEE 13th International Conference on Information Reuse Integration, IRI 2012, Las Vegas, NV, USA, August 8-10, 2012 2012 (0) 2012
    Conference paper
    Randall Wald, Taghi M. Khoshgoftaar, David J. Dittman, Wael Awada, Amri Napolitano.
    An extensive comparison of feature ranking aggregation techniques in bioinformatics.
    IEEE 13th International Conference on Information Reuse Integration, IRI 2012, Las Vegas, NV, USA, August 8-10, 2012 2012 (0) 2012
    Conference paper
    Taghi M. Khoshgoftaar, Kehan Gao, Amri Napolitano.
    Exploring an iterative feature selection technique for highly imbalanced data sets.
    IEEE 13th International Conference on Information Reuse Integration, IRI 2012, Las Vegas, NV, USA, August 8-10, 2012 2012 (0) 2012
    Conference paper
    Ahmad Abu Shanab, Taghi M. Khoshgoftaar, Randall Wald, Amri Napolitano.
    Impact of noise and data sampling on stability of feature ranking techniques for biological datasets.
    IEEE 13th International Conference on Information Reuse Integration, IRI 2012, Las Vegas, NV, USA, August 8-10, 2012 2012 (0) 2012
    Conference paper
    Huanjing Wang, Taghi M. Khoshgoftaar, Randall Wald, Amri Napolitano.
    A novel dataset-similarity-aware approach for evaluating stability of software metric selection techniques.
    IEEE 13th International Conference on Information Reuse Integration, IRI 2012, Las Vegas, NV, USA, August 8-10, 2012 2012 (0) 2012
    Journal article
    Wilker Altidor, Taghi M. Khoshgoftaar, Amri Napolitano.
    Measuring stability of feature ranking techniques: a noise-based approach.
    IJBIDM 2012, Volume 7 (0) 2012
    Conference paper
    David J. Dittman, Taghi M. Khoshgoftaar, Randall Wald, Amri Napolitano.
    Similarity analysis of feature ranking techniques on imbalanced DNA microarray datasets.
    2012 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2012, Philadelphia, PA, USA, October 4-7, 2012 2012 (0) 2012
    Conference paper
    Janell Duhaney, Taghi M. Khoshgoftaar, Amri Napolitano.
    Studying the Effect of Class Imbalance in Ocean Turbine Fault Data on Reliable State Detection.
    11th International Conference on Machine Learning and Applications, ICMLA, Boca Raton, FL, USA, December 12-15, 2012. Volume 1 2012 (0) 2012
    Conference paper
    David J. Dittman, Taghi M. Khoshgoftaar, Randall Wald, Amri Napolitano.
    Determining the Number of Iterations Appropriate for Ensemble Gene Selection on Microarray Data.
    11th International Conference on Machine Learning and Applications, ICMLA, Boca Raton, FL, USA, December 12-15, 2012. Volume 1 2012 (0) 2012
    Conference paper
    David J. Dittman, Taghi M. Khoshgoftaar, Randall Wald, Amri Napolitano.
    Comparing Two New Gene Selection Ensemble Approaches with the Commonly-Used Approach.
    11th International Conference on Machine Learning and Applications, ICMLA, Boca Raton, FL, USA, December 12-15, 2012. Volume 2 2012 (0) 2012
    Conference paper
    Randall Wald, Taghi M. Khoshgoftaar, Amri Napolitano, Chris Sumner.
    Using Twitter Content to Predict Psychopathy.
    11th International Conference on Machine Learning and Applications, ICMLA, Boca Raton, FL, USA, December 12-15, 2012. Volume 2 2012 (0) 2012
    Conference paper
    Huanjing Wang, Taghi M. Khoshgoftaar, Randall Wald, Amri Napolitano.
    A Comparative Study on the Stability of Software Metric Selection Techniques.
    11th International Conference on Machine Learning and Applications, ICMLA, Boca Raton, FL, USA, December 12-15, 2012. Volume 2 2012 (0) 2012
    Conference paper
    Jason Van Hulse, Taghi M. Khoshgoftaar, Amri Napolitano.
    A Novel Noise-Resistant Boosting Algorithm for Class-Skewed Data.
    11th International Conference on Machine Learning and Applications, ICMLA, Boca Raton, FL, USA, December 12-15, 2012. Volume 2 2012 (0) 2012
    Conference paper
    Huanjing Wang, Taghi M. Khoshgoftaar, Amri Napolitano.
    An Empirical Study on the Stability of Feature Selection for Imbalanced Software Engineering Data.
    11th International Conference on Machine Learning and Applications, ICMLA, Boca Raton, FL, USA, December 12-15, 2012. Volume 1 2012 (0) 2012
    Conference paper
    Kehan Gao, Taghi M. Khoshgoftaar, Amri Napolitano.
    A Hybrid Approach to Coping with High Dimensionality and Class Imbalance for Software Defect Prediction.
    11th International Conference on Machine Learning and Applications, ICMLA, Boca Raton, FL, USA, December 12-15, 2012. Volume 2 2012 (0) 2012
    Journal article
    Jason Van Hulse, Taghi M. Khoshgoftaar, Amri Napolitano, Randall Wald.
    Threshold-based feature selection techniques for high-dimensional bioinformatics data.
    NetMAHIB 2012, Volume 1 (0) 2012
    Conference paper
    Jason Van Hulse, Taghi M. Khoshgoftaar, Amri Napolitano.
    An exploration of learning when data is noisy and imbalanced.
    Intell. Data Anal. 2011, Volume 15 (0) 2011
    Conference paper
    Xiaoyuan Su, Russell Greiner, Taghi M. Khoshgoftaar, Amri Napolitano.
    Using Classifier-Based Nominal Imputation to Improve Machine Learning.
    Advances in Knowledge Discovery and Data Mining - 15th Pacific-Asia Conference, PAKDD 2011, Shenzhen, China, May 24-27, 2011, Proceedings, Part I 2011 (0) 2011
    Conference paper
    Taghi M. Khoshgoftaar, Jason Van Hulse, Amri Napolitano.
    Comparing Boosting and Bagging Techniques With Noisy and Imbalanced Data.
    IEEE Transactions on Systems, Man, and Cybernetics, Part A 2011, Volume 41 (0) 2011
    Conference paper
    Jason Van Hulse, Taghi M. Khoshgoftaar, Amri Napolitano.
    Evaluating the Impact of Data Quality on Sampling.
    JIKM 2011, Volume 10 (0) 2011
    Conference paper
    Wilker Altidor, Taghi M. Khoshgoftaar, Amri Napolitano.
    A noise-based stability evaluation of threshold-based feature selection techniques.
    Proceedings of the IEEE International Conference on Information Reuse and Integration, IRI 2011, 3-5 August 2011, Las Vegas, Nevada, USA 2011 (0) 2011
    Conference paper
    Jason Van Hulse, Taghi M. Khoshgoftaar, Amri Napolitano.
    A comparative evaluation of feature ranking methods for high dimensional bioinformatics data.
    Proceedings of the IEEE International Conference on Information Reuse and Integration, IRI 2011, 3-5 August 2011, Las Vegas, Nevada, USA 2011 (0) 2011
    Conference paper
    Huanjing Wang, Taghi M. Khoshgoftaar, Amri Napolitano.
    An Empirical Study of Software Metrics Selection Using Support Vector Machine.
    Proceedings of the 23rd International Conference on Software Engineering Knowledge Engineering (SEKE'2011), Eden Roc Renaissance, Miami Beach, USA, July 7-9, 2011 2011 (0) 2011
    Conference paper
    Taghi M. Khoshgoftaar, Kehan Gao, Amri Napolitano.
    A Comparative Study of Different Strategies for Predicting Software Quality.
    Proceedings of the 23rd International Conference on Software Engineering Knowledge Engineering (SEKE'2011), Eden Roc Renaissance, Miami Beach, USA, July 7-9, 2011 2011 (0) 2011
    Conference paper
    Kehan Gao, Taghi M. Khoshgoftaar, Amri Napolitano.
    Impact of Data Sampling on Stability of Feature Selection for Software Measurement Data.
    IEEE 23rd International Conference on Tools with Artificial Intelligence, ICTAI 2011, Boca Raton, FL, USA, November 7-9, 2011 2011 (0) 2011
    Conference paper
    David J. Dittman, Taghi M. Khoshgoftaar, Randall Wald, Amri Napolitano.
    Random forest: A reliable tool for patient response prediction.
    2011 IEEE International Conference on Bioinformatics and Biomedicine Workshops, BIBMW 2011, Atlanta, GA, USA, November 12-15, 2011 2011 (0) 2011
    Journal article
    Jason Van Hulse, Taghi M. Khoshgoftaar, Amri Napolitano.
    An Empirical Evaluation of Repetitive Undersampling Techniques.
    International Journal of Software Engineering and Knowledge Engineering 2010, Volume 20 (0) 2010
    Journal article
    Taghi M. Khoshgoftaar, Jason Van Hulse, Amri Napolitano.
    Supervised neural network modeling: an empirical investigation into learning from imbalanced data with labeling errors.
    IEEE Transactions on Neural Networks 2010, Volume 21 (0) 2010
    Conference paper
    Huanjing Wang, Taghi M. Khoshgoftaar, Amri Napolitano.
    A Comparative Study of Ensemble Feature Selection Techniques for Software Defect Prediction.
    The Ninth International Conference on Machine Learning and Applications, ICMLA 2010, Washington, DC, USA, 12-14 December 2010 2010 (0) 2010
    Conference paper
    Jason Van Hulse, Taghi M. Khoshgoftaar, Amri Napolitano.
    A Novel Noise Filtering Algorithm for Imbalanced Data.
    The Ninth International Conference on Machine Learning and Applications, ICMLA 2010, Washington, DC, USA, 12-14 December 2010 2010 (0) 2010
    Journal article
    Chris Seiffert, Taghi M. Khoshgoftaar, Jason Van Hulse, Amri Napolitano.
    RUSBoost: A Hybrid Approach to Alleviating Class Imbalance.
    IEEE Transactions on Systems, Man, and Cybernetics, Part A 2010, Volume 40 (0) 2010
    Conference paper
    Jason Van Hulse, Taghi M. Khoshgoftaar, Amri Napolitano.
    Evaluating the impact of data quality on sampling.
    Proceedings of the IEEE International Conference on Information Reuse and Integration, IRI 2010, 4-6 August 2010, Las Vegas, Nevada, USA 2010 (0) 2010
    Conference paper
    Taghi M. Khoshgoftaar, Kehan Gao, Amri Napolitano.
    An Empirical Study of Predictive Modeling Techniques of Software Quality.
    Bio-Inspired Models of Network, Information, and Computing Systems - 5th International ICST Conference, BIONETICS 2010, Boston, MA, USA, December 1-3, 2010, Revised Selected Papers 2012 (0) 2010
    Conference paper
    Wilker Altidor, Taghi M. Khoshgoftaar, Amri Napolitano.
    Wrapper-Based Feature Ranking for Software Engineering Metrics.
    International Conference on Machine Learning and Applications, ICMLA 2009, Miami Beach, Florida, USA, December 13-15, 2009 2009 (0) 2009
    Conference paper
    Kehan Gao, Taghi M. Khoshgoftaar, Amri Napolitano.
    Exploring Software Quality Classification with a Wrapper-Based Feature Ranking Technique.
    ICTAI 2009, 21st IEEE International Conference on Tools with Artificial Intelligence, Newark, New Jersey, USA, 2-4 November 2009 2009 (0) 2009
    Conference paper
    Jason Van Hulse, Taghi M. Khoshgoftaar, Amri Napolitano, Randall Wald.
    Feature Selection with High-Dimensional Imbalanced Data.
    ICDM Workshops 2009, IEEE International Conference on Data Mining Workshops, Miami, Florida, USA, 6 December 2009 2009 (0) 2009
    Journal article
    Andres Folleco, Taghi M. Khoshgoftaar, Jason Van Hulse, Amri Napolitano.
    Identifying Learners Robust to Low Quality Data.
    Informatica (Slovenia) 2009, Volume 33 (0) 2009
    Conference paper
    Jason Van Hulse, Taghi M. Khoshgoftaar, Amri Napolitano.
    An Empirical Comparison of Repetitive Undersampling Techniques.
    Proceedings of the IEEE International Conference on Information Reuse and Integration, IRI 2009, 10-12 August 2009, Las Vegas, Nevada, USA 2009 (0) 2009
    Conference paper
    Chris Seiffert, Taghi M. Khoshgoftaar, Jason Van Hulse, Amri Napolitano.
    Building Useful Models from Imbalanced Data with Sampling and Boosting.
    Proceedings of the Twenty-First International Florida Artificial Intelligence Research Society Conference, May 15-17, 2008, Coconut Grove, Florida, USA 2008 (0) 2008
    Conference paper
    Chris Seiffert, Taghi M. Khoshgoftaar, Jason Van Hulse, Amri Napolitano.
    A Comparative Study of Data Sampling and Cost Sensitive Learning.
    Workshops Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), December 15-19, 2008, Pisa, Italy 2008 (0) 2008
    Conference paper
    Andres Folleco, Taghi M. Khoshgoftaar, Amri Napolitano.
    Comparison of Four Performance Metrics for Evaluating Sampling Techniques for Low Quality Class-Imbalanced Data.
    Seventh International Conference on Machine Learning and Applications, ICMLA 2008, San Diego, California, USA, 11-13 December 2008 2008 (0) 2008
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