Amri Napolitano

Publication Activity (10 Years)

Years Active: 1982-2018
Publications (10 Years): 19

Top Venues

IRI

ICMLA (2)

SEKE

ICTAI

Florida Atlantic University, Boca Raton, USA (PHD)

Education History

Florida Atlantic University, Boca Raton, USA

PHD

Publications

Richard A. Bauder, Taghi M. Khoshgoftaar, Amri Napolitano
Fraud Detection with a Limited Number of Known Fraudulent Medicare Providers. FLAIRS Conference (2018)
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)
Joseph D. Prusa, Taghi M. Khoshgoftaar, Amri Napolitano
Necessity of Feature Selection when Augmenting Tweet Sentiment Feature Spaces with Emoticons. FLAIRS Conference (2016)
Maryam M. Najafabadi, Taghi M. Khoshgoftaar, Amri Napolitano, Charles Wheelus
RUDY Attack: Detection at the Network Level and Its Important Features. FLAIRS Conference (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)
Joseph D. Prusa, Taghi M. Khoshgoftaar, David J. Dittman, Amri Napolitano
Using Random Undersampling to Alleviate Class Imbalance on Tweet Sentiment Data. IRI (2015)
Huanjing Wang, Taghi M. Khoshgoftaar, Amri Napolitano
Stability of Three Forms of Feature Selection Methods on Software Engineering Data. SEKE (2015)
Alireza Fazelpour, Taghi M. Khoshgoftaar, David J. Dittman, Amri Napolitano
Choosing an Appropriate Ensemble Classifier for Balanced Bioinformatics Data. IRI (2015)
Kehan Gao, Taghi M. Khoshgoftaar, Amri Napolitano
Investigating Two Approaches for Adding Feature Ranking to Sampled Ensemble Learning for Software Quality Estimation. Int. J. Softw. Eng. Knowl. Eng. 25 (1) (2015)
David J. Dittman, Taghi M. Khoshgoftaar, Amri Napolitano
The Effect of Data Sampling When Using Random Forest on Imbalanced Bioinformatics Data. IRI (2015)
Kehan Gao, Taghi M. Khoshgoftaar, Amri Napolitano
Combining Feature Subset Selection and Data Sampling for Coping with Highly Imbalanced Software Data. SEKE (2015)
David J. Dittman, Taghi M. Khoshgoftaar, Amri Napolitano
Selecting the Appropriate Ensemble Learning Approach for Balanced Bioinformatics Data. FLAIRS Conference (2015)
Joseph D. Prusa, Taghi M. Khoshgoftaar, Amri Napolitano
Utilizing Ensemble, Data Sampling and Feature Selection Techniques for Improving Classification Performance on Tweet Sentiment Data. ICMLA (2015)
Joseph D. Prusa, Taghi M. Khoshgoftaar, Amri Napolitano
Using Feature Selection in Combination with Ensemble Learning Techniques to Improve Tweet Sentiment Classification Performance. ICTAI (2015)
Huanjing Wang, Taghi M. Khoshgoftaar, Amri Napolitano
An Empirical Investigation on Wrapper-Based Feature Selection for Predicting Software Quality. Int. J. Softw. Eng. Knowl. Eng. 25 (1) (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)
Kehan Gao, Taghi M. Khoshgoftaar, Amri Napolitano
Aggregating Data Sampling with Feature Subset Selection to Address Skewed Software Defect Data. Int. J. Softw. Eng. Knowl. Eng. 25 (9-10) (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)
Taghi M. Khoshgoftaar, Kehan Gao, Amri Napolitano
Improving software quality estimation by combining feature selection strategies with sampled ensemble learning. IRI (2014)
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)
Kehan Gao, Taghi M. Khoshgoftaar, Amri Napolitano
Comparing Two Approaches for Adding Feature Ranking to Sampled Ensemble Learning for Software Quality Estimation. SEKE (2014)
Ahmad Abu Shanab, Taghi M. Khoshgoftaar, Randall Wald, Amri Napolitano
How ranker and learner choice affects classification performance on noisy bioinformatics data. IRI (2014)
Taghi M. Khoshgoftaar, Kehan Gao, Amri Napolitano, Randall Wald
A comparative study of iterative and non-iterative feature selection techniques for software defect prediction. Inf. Syst. Frontiers 16 (5) (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)
Randall Wald, Taghi M. Khoshgoftaar, Amri Napolitano
Using Correlation-Based Feature Selection for a Diverse Collection of Bioinformatics Datasets. BIBE (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)
Randall Wald, Taghi M. Khoshgoftaar, Richard Zuech, Amri Napolitano
Network Traffic Prediction Models for Near- and Long-Term Predictions. BIBE (2014)
Kehan Gao, Taghi M. Khoshgoftaar, Amri Napolitano
The Use of Ensemble-Based Data Preprocessing Techniques for Software Defect Prediction. Int. J. Softw. Eng. Knowl. Eng. 24 (9) (2014)
Huanjing Wang, Taghi M. Khoshgoftaar, Amri Napolitano
Stability of filter- and wrapper-based software metric selection techniques. IRI (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)
Randall Wald, Taghi M. Khoshgoftaar, Amri Napolitano
Optimizing Wrapper-Based Feature Selection for Use on Bioinformatics Data. FLAIRS Conference (2014)
Huanjing Wang, Taghi M. Khoshgoftaar, Amri Napolitano
Choosing the Best Classification Performance Metric for Wrapper-based Software Metric Selection for Defect Prediction. SEKE (2014)
David J. Dittman, Taghi M. Khoshgoftaar, Randall Wald, Amri Napolitano
Classification Performance of Rank Aggregation Techniques for Ensemble Gene Selection. FLAIRS Conference (2013)
Kehan Gao, Taghi M. Khoshgoftaar, Amri Napolitano
Improving Software Quality Estimation by Combining Boosting and Feature Selection. ICMLA (1) (2013)
David J. Dittman, Taghi M. Khoshgoftaar, Randall Wald, Amri Napolitano
Maximizing Classification Performance for Patient Response Datasets. ICTAI (2013)
Randall Wald, Taghi M. Khoshgoftaar, Amri Napolitano
Comparison of Stability for Different Families of Filter-Based and Wrapper-Based Feature Selection. ICMLA (2) (2013)
Randall Wald, Taghi M. Khoshgoftaar, Amri Napolitano
Stability of Filter- and Wrapper-Based Feature Subset Selection. 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)
Taghi M. Khoshgoftaar, Randall Wald, David J. Dittman, Amri Napolitano
Feature list aggregation approaches for ensemble gene selection on patient response datasets. IRI (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)
Huanjing Wang, Taghi M. Khoshgoftaar, Amri Napolitano
An Empirical Study on Wrapper-Based Feature Selection for Software Engineering Data. ICMLA (2) (2013)
Kehan Gao, Taghi M. Khoshgoftaar, Amri Napolitano
Exploring Ensemble-Based Data Preprocessing Techniques for Software Quality Estimation. SEKE (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)
Huanjing Wang, Taghi M. Khoshgoftaar, Randall Wald, Amri Napolitano
A Study on First Order Statistics-Based Feature Selection Techniques on Software Metric Data. SEKE (2013)
Randall Wald, Taghi M. Khoshgoftaar, Amri Napolitano, Chris Sumner
Which Users Reply to and Interact with Twitter Social Bots? ICTAI (2013)
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. ICMLA (1) (2013)
Randall Wald, Taghi M. Khoshgoftaar, Amri Napolitano
How the Choice of Wrapper Learner and Performance Metric Affects Subset Evaluation. ICTAI (2013)
Randall Wald, Taghi M. Khoshgoftaar, Amri Napolitano
Filter- and wrapper-based feature selection for predicting user interaction with Twitter bots. IRI (2013)
Randall Wald, Taghi M. Khoshgoftaar, Amri Napolitano
The importance of performance metrics within wrapper feature selection. IRI (2013)
Randall Wald, Taghi M. Khoshgoftaar, Amri Napolitano
Should the Same Learners Be Used Both within Wrapper Feature Selection and for Building Classification Models? ICTAI (2013)
David J. Dittman, Taghi M. Khoshgoftaar, Randall Wald, Amri Napolitano
Simplifying the Utilization of Machine Learning Techniques for Bioinformatics. ICMLA (2) (2013)
Randall Wald, Taghi M. Khoshgoftaar, Amri Napolitano, Chris Sumner
Predicting susceptibility to social bots on Twitter. IRI (2013)
David J. Dittman, Taghi M. Khoshgoftaar, Randall Wald, Amri Napolitano
Gene selection stability's dependence on dataset difficulty. IRI (2013)
Taghi M. Khoshgoftaar, Kehan Gao, Amri Napolitano
Exploring an iterative feature selection technique for highly imbalanced data sets. IRI (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)
Jason Van Hulse, Taghi M. Khoshgoftaar, Amri Napolitano
A Novel Noise-Resistant Boosting Algorithm for Class-Skewed Data. ICMLA (2) (2012)
Huanjing Wang, Taghi M. Khoshgoftaar, Amri Napolitano
Software measurement data reduction using ensemble techniques. Neurocomputing 92 (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)
Randall Wald, Taghi M. Khoshgoftaar, Amri Napolitano, Chris Sumner
Using Twitter Content to Predict Psychopathy. ICMLA (2) (2012)
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. IRI (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)
Taghi M. Khoshgoftaar, Kehan Gao, Amri Napolitano
An Empirical Study of Feature Ranking Techniques for Software Quality Prediction. Int. J. Softw. Eng. Knowl. Eng. 22 (2) (2012)
Huanjing Wang, Taghi M. Khoshgoftaar, Randall Wald, Amri Napolitano
An Empirical Study of Software Metric Selection Techniques for Defect Prediction. SEKE (2012)
Janell Duhaney, Taghi M. Khoshgoftaar, Amri Napolitano
Studying the Effect of Class Imbalance in Ocean Turbine Fault Data on Reliable State Detection. ICMLA (1) (2012)
Huanjing Wang, Taghi M. Khoshgoftaar, Amri Napolitano
An Empirical Study on the Stability of Feature Selection for Imbalanced Software Engineering Data. ICMLA (1) (2012)
Jason Van Hulse, Taghi M. Khoshgoftaar, Amri Napolitano, Randall Wald
Threshold-based feature selection techniques for high-dimensional bioinformatics data. Netw. Model. Anal. Health Informatics Bioinform. 1 (1-2) (2012)
Huanjing Wang, Taghi M. Khoshgoftaar, Randall Wald, Amri Napolitano
A novel dataset-similarity-aware approach for evaluating stability of software metric selection techniques. IRI (2012)
David J. Dittman, Taghi M. Khoshgoftaar, Randall Wald, Amri Napolitano
Similarity analysis of feature ranking techniques on imbalanced DNA microarray datasets. BIBM (2012)
Kehan Gao, Taghi M. Khoshgoftaar, Amri Napolitano
A Hybrid Approach to Coping with High Dimensionality and Class Imbalance for Software Defect Prediction. ICMLA (2) (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)
Huanjing Wang, Taghi M. Khoshgoftaar, Randall Wald, Amri Napolitano
A Comparative Study on the Stability of Software Metric Selection Techniques. ICMLA (2) (2012)
Wilker Altidor, Taghi M. Khoshgoftaar, Amri Napolitano
Measuring stability of feature ranking techniques: a noise-based approach. Int. J. Bus. Intell. Data Min. 7 (1/2) (2012)
Kehan Gao, Taghi M. Khoshgoftaar, Amri Napolitano
Stability of Filter-Based Feature Selection Methods for Imbalanced Software Measurement Data. SEKE (2012)
Wilker Altidor, Taghi M. Khoshgoftaar, Amri Napolitano
A noise-based stability evaluation of threshold-based feature selection techniques. IRI (2011)
Kehan Gao, Taghi M. Khoshgoftaar, Amri Napolitano
Impact of Data Sampling on Stability of Feature Selection for Software Measurement Data. ICTAI (2011)
Huanjing Wang, Taghi M. Khoshgoftaar, Amri Napolitano
An Empirical Study of Software Metrics Selection Using Support Vector Machine. SEKE (2011)
Jason Van Hulse, Taghi M. Khoshgoftaar, Amri Napolitano
Evaluating the Impact of Data Quality on Sampling. J. Inf. Knowl. Manag. 10 (3) (2011)
Xiaoyuan Su, Russell Greiner, Taghi M. Khoshgoftaar, Amri Napolitano
Using Classifier-Based Nominal Imputation to Improve Machine Learning. PAKDD (1) (2011)
Taghi M. Khoshgoftaar, Kehan Gao, Amri Napolitano
A Comparative Study of Different Strategies for Predicting Software Quality. SEKE (2011)
Jason Van Hulse, Taghi M. Khoshgoftaar, Amri Napolitano
A comparative evaluation of feature ranking methods for high dimensional bioinformatics data. IRI (2011)
Jason Van Hulse, Taghi M. Khoshgoftaar, Amri Napolitano
An exploration of learning when data is noisy and imbalanced. Intell. Data Anal. 15 (2) (2011)
Taghi M. Khoshgoftaar, Jason Van Hulse, Amri Napolitano
Comparing Boosting and Bagging Techniques With Noisy and Imbalanced Data. IEEE Trans. Syst. Man Cybern. Part A 41 (3) (2011)
David J. Dittman, Taghi M. Khoshgoftaar, Randall Wald, Amri Napolitano
Random forest: A reliable tool for patient response prediction. BIBM Workshops (2011)
Taghi M. Khoshgoftaar, Jason Van Hulse, Amri Napolitano
Supervised neural network modeling: an empirical investigation into learning from imbalanced data with labeling errors. IEEE Trans. Neural Networks 21 (5) (2010)
Jason Van Hulse, Taghi M. Khoshgoftaar, Amri Napolitano
Evaluating the impact of data quality on sampling. IRI (2010)
Taghi M. Khoshgoftaar, Kehan Gao, Amri Napolitano
An Empirical Study of Predictive Modeling Techniques of Software Quality. BIONETICS (2010)
Jason Van Hulse, Taghi M. Khoshgoftaar, Amri Napolitano
An Empirical Evaluation of Repetitive Undersampling Techniques. Int. J. Softw. Eng. Knowl. Eng. 20 (2) (2010)
Huanjing Wang, Taghi M. Khoshgoftaar, Amri Napolitano
A Comparative Study of Ensemble Feature Selection Techniques for Software Defect Prediction. ICMLA (2010)
Jason Van Hulse, Taghi M. Khoshgoftaar, Amri Napolitano
A Novel Noise Filtering Algorithm for Imbalanced Data. ICMLA (2010)
Chris Seiffert, Taghi M. Khoshgoftaar, Jason Van Hulse, Amri Napolitano
RUSBoost: A Hybrid Approach to Alleviating Class Imbalance. IEEE Trans. Syst. Man Cybern. Part A 40 (1) (2010)
Andres Folleco, Taghi M. Khoshgoftaar, Jason Van Hulse, Amri Napolitano
Identifying Learners Robust to Low Quality Data. Informatica (Slovenia) 33 (3) (2009)
Jason Van Hulse, Taghi M. Khoshgoftaar, Amri Napolitano, Randall Wald
Feature Selection with High-Dimensional Imbalanced Data. ICDM Workshops (2009)
Wilker Altidor, Taghi M. Khoshgoftaar, Amri Napolitano
Wrapper-Based Feature Ranking for Software Engineering Metrics. ICMLA (2009)
Kehan Gao, Taghi M. Khoshgoftaar, Amri Napolitano
Exploring Software Quality Classification with a Wrapper-Based Feature Ranking Technique. ICTAI (2009)
Jason Van Hulse, Taghi M. Khoshgoftaar, Amri Napolitano
An Empirical Comparison of Repetitive Undersampling Techniques. IRI (2009)
Chris Seiffert, Taghi M. Khoshgoftaar, Jason Van Hulse, Amri Napolitano
Resampling or Reweighting: A Comparison of Boosting Implementations. ICTAI (1) (2008)
Chris Seiffert, Taghi M. Khoshgoftaar, Jason Van Hulse, Amri Napolitano
RUSBoost: Improving classification performance when training data is skewed. ICPR (2008)
Andres Folleco, Taghi M. Khoshgoftaar, Amri Napolitano
Comparison of Four Performance Metrics for Evaluating Sampling Techniques for Low Quality Class-Imbalanced Data. ICMLA (2008)

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Publication Activity (10 Years)

Top Topics

Top Venues

Amri Napolitano