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Amri Napolitano

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

89

Venues

11

Active years

1982–2018

Best venue rank

A*

Where they publish

Papers

89 indexed papers, newest first.

YearVenueTitleAuthors
2018FlAIRSFraud Detection with a Limited Number of Known Fraudulent Medicare Providers.Richard A. Bauder, Taghi M. Khoshgoftaar, Amri Napolitano
2016FlAIRSRUDY Attack: Detection at the Network Level and Its Important Features.Maryam M. Najafabadi, Taghi M. Khoshgoftaar, Amri Napolitano, Charles Wheelus
2016FlAIRSNecessity of Feature Selection when Augmenting Tweet Sentiment Feature Spaces with Emoticons.Joseph D. Prusa, Taghi M. Khoshgoftaar, Amri Napolitano
2016IRIInvestigating the Variation of Ensemble Size on Bagging-Based Classifier Performance in Imbalanced Bioinformatics Datasets.Alireza Fazelpour, Taghi M. Khoshgoftaar, David J. Dittman, Amri Napolitano
2015FlAIRSSelecting the Appropriate Ensemble Learning Approach for Balanced Bioinformatics Data.David J. Dittman, Taghi M. Khoshgoftaar, Amri Napolitano
2015ICMLADoes 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
2015ICMLAInvestigating New Bootstrapping Approaches of Bagging Classifiers to Account for Class Imbalance in Bioinformatics Datasets.Alireza Fazelpour, Taghi M. Khoshgoftaar, David J. Dittman, Amri Napolitano
2015ICMLAUtilizing Ensemble, Data Sampling and Feature Selection Techniques for Improving Classification Performance on Tweet Sentiment Data.Joseph D. Prusa, Taghi M. Khoshgoftaar, Amri Napolitano
2015IRIThe Effect of Data Sampling When Using Random Forest on Imbalanced Bioinformatics Data.David J. Dittman, Taghi M. Khoshgoftaar, Amri Napolitano
2015IRIChoosing an Appropriate Ensemble Classifier for Balanced Bioinformatics Data.Alireza Fazelpour, Taghi M. Khoshgoftaar, David J. Dittman, Amri Napolitano
2015IRIAlterations to the Bootstrapping Process within Random Forest: A Case Study on Imbalanced Bioinformatics Data.Taghi M. Khoshgoftaar, Alireza Fazelpour, David J. Dittman, Amri Napolitano
2015IRIUsing Random Undersampling to Alleviate Class Imbalance on Tweet Sentiment Data.Joseph D. Prusa, Taghi M. Khoshgoftaar, David J. Dittman, Amri Napolitano
2015ICTAIEnsemble 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
2015ICTAIUsing Feature Selection in Combination with Ensemble Learning Techniques to Improve Tweet Sentiment Classification Performance.Joseph D. Prusa, Taghi M. Khoshgoftaar, Amri Napolitano
2015SEKECombining Feature Subset Selection and Data Sampling for Coping with Highly Imbalanced Software Data.Kehan Gao, Taghi M. Khoshgoftaar, Amri Napolitano
2015SEKEStability of Three Forms of Feature Selection Methods on Software Engineering Data.Huanjing Wang, Taghi M. Khoshgoftaar, Amri Napolitano
2014BIBESelecting the Appropriate Data Sampling Approach for Imbalanced and High-Dimensional Bioinformatics Datasets.David J. Dittman, Taghi M. Khoshgoftaar, Amri Napolitano
2014BIBESelect-Bagging: Effectively Combining Gene Selection and Bagging for Balanced Bioinformatics Data.David J. Dittman, Taghi M. Khoshgoftaar, Amri Napolitano, Alireza Fazelpour
2014BIBEEffects of the Use of Boosting on Classification Performance of Imbalanced Bioinformatics Datasets.Taghi M. Khoshgoftaar, Alireza Fazelpour, David J. Dittman, Amri Napolitano
2014BIBEUsing Correlation-Based Feature Selection for a Diverse Collection of Bioinformatics Datasets.Randall Wald, Taghi M. Khoshgoftaar, Amri Napolitano
2014BIBENetwork Traffic Prediction Models for Near- and Long-Term Predictions.Randall Wald, Taghi M. Khoshgoftaar, Richard Zuech, Amri Napolitano
2014FlAIRSComparison of Data Sampling Approaches for Imbalanced Bioinformatics Data.David J. Dittman, Taghi M. Khoshgoftaar, Randall Wald, Amri Napolitano
2014FlAIRSOptimizing Wrapper-Based Feature Selection for Use on Bioinformatics Data.Randall Wald, Taghi M. Khoshgoftaar, Amri Napolitano
2014IRIClassification performance of three approaches for combining data sampling and gene selection on bioinformatics data.Taghi M. Khoshgoftaar, Alireza Fazelpour, David J. Dittman, Amri Napolitano
2014IRIImproving software quality estimation by combining feature selection strategies with sampled ensemble learning.Taghi M. Khoshgoftaar, Kehan Gao, Amri Napolitano
2014IRIHow ranker and learner choice affects classification performance on noisy bioinformatics data.Ahmad Abu Shanab, Taghi M. Khoshgoftaar, Randall Wald, Amri Napolitano
2014IRIStability of filter- and wrapper-based software metric selection techniques.Huanjing Wang, Taghi M. Khoshgoftaar, Amri Napolitano
2014SEKEComparing Two Approaches for Adding Feature Ranking to Sampled Ensemble Learning for Software Quality Estimation.Kehan Gao, Taghi M. Khoshgoftaar, Amri Napolitano
2014SEKEChoosing the Best Classification Performance Metric for Wrapper-based Software Metric Selection for Defect Prediction.Huanjing Wang, Taghi M. Khoshgoftaar, Amri Napolitano
2013FlAIRSClassification Performance of Rank Aggregation Techniques for Ensemble Gene Selection.David J. Dittman, Taghi M. Khoshgoftaar, Randall Wald, Amri Napolitano
2013ICMLASimplifying the Utilization of Machine Learning Techniques for Bioinformatics.David J. Dittman, Taghi M. Khoshgoftaar, Randall Wald, Amri Napolitano
2013ICMLAImproving Software Quality Estimation by Combining Boosting and Feature Selection.Kehan Gao, Taghi M. Khoshgoftaar, Amri Napolitano
2013ICMLAContrasting Undersampled Boosting with Internal and External Feature Selection for Patient Response Datasets.Taghi M. Khoshgoftaar, David J. Dittman, Randall Wald, Amri Napolitano
2013ICMLARandom Forest with 200 Selected Features: An Optimal Model for Bioinformatics Research.Randall Wald, Taghi M. Khoshgoftaar, David J. Dittman, Amri Napolitano
2013ICMLAComparison of Stability for Different Families of Filter-Based and Wrapper-Based Feature Selection.Randall Wald, Taghi M. Khoshgoftaar, Amri Napolitano
2013ICMLAComparative Analysis on the Stability of Feature Selection Techniques Using Three Frameworks on Biological Datasets.Randall Wald, Taghi M. Khoshgoftaar, Ahmad Abu Shanab, Amri Napolitano
2013ICMLAAn Empirical Study on Wrapper-Based Feature Selection for Software Engineering Data.Huanjing Wang, Taghi M. Khoshgoftaar, Amri Napolitano
2013IRIComparison of rank-based vs. score-based aggregation for ensemble gene selection.David J. Dittman, Taghi M. Khoshgoftaar, Randall Wald, Amri Napolitano
2013IRIGene selection stability's dependence on dataset difficulty.David J. Dittman, Taghi M. Khoshgoftaar, Randall Wald, Amri Napolitano
2013IRIFeature list aggregation approaches for ensemble gene selection on patient response datasets.Taghi M. Khoshgoftaar, Randall Wald, David J. Dittman, Amri Napolitano
2013IRIThe importance of performance metrics within wrapper feature selection.Randall Wald, Taghi M. Khoshgoftaar, Amri Napolitano
2013IRIFilter- and wrapper-based feature selection for predicting user interaction with Twitter bots.Randall Wald, Taghi M. Khoshgoftaar, Amri Napolitano
2013IRIPredicting susceptibility to social bots on Twitter.Randall Wald, Taghi M. Khoshgoftaar, Amri Napolitano, Chris Sumner
2013ICTAIMaximizing Classification Performance for Patient Response Datasets.David J. Dittman, Taghi M. Khoshgoftaar, Randall Wald, Amri Napolitano
2013ICTAIStability of Filter- and Wrapper-Based Feature Subset Selection.Randall Wald, Taghi M. Khoshgoftaar, Amri Napolitano
2013ICTAIHow the Choice of Wrapper Learner and Performance Metric Affects Subset Evaluation.Randall Wald, Taghi M. Khoshgoftaar, Amri Napolitano
2013ICTAIShould the Same Learners Be Used Both within Wrapper Feature Selection and for Building Classification Models?Randall Wald, Taghi M. Khoshgoftaar, Amri Napolitano
2013ICTAIWhich Users Reply to and Interact with Twitter Social Bots?Randall Wald, Taghi M. Khoshgoftaar, Amri Napolitano, Chris Sumner
2013SEKEExploring Ensemble-Based Data Preprocessing Techniques for Software Quality Estimation.Kehan Gao, Taghi M. Khoshgoftaar, Amri Napolitano
2013SEKEA Study on First Order Statistics-Based Feature Selection Techniques on Software Metric Data.Huanjing Wang, Taghi M. Khoshgoftaar, Randall Wald, Amri Napolitano
2012ICMLADetermining the Number of Iterations Appropriate for Ensemble Gene Selection on Microarray Data.David J. Dittman, Taghi M. Khoshgoftaar, Randall Wald, Amri Napolitano
2012ICMLAComparing Two New Gene Selection Ensemble Approaches with the Commonly-Used Approach.David J. Dittman, Taghi M. Khoshgoftaar, Randall Wald, Amri Napolitano
2012ICMLAStudying the Effect of Class Imbalance in Ocean Turbine Fault Data on Reliable State Detection.Janell Duhaney, Taghi M. Khoshgoftaar, Amri Napolitano
2012ICMLAA Hybrid Approach to Coping with High Dimensionality and Class Imbalance for Software Defect Prediction.Kehan Gao, Taghi M. Khoshgoftaar, Amri Napolitano
2012ICMLAA Novel Noise-Resistant Boosting Algorithm for Class-Skewed Data.Jason Van Hulse, Taghi M. Khoshgoftaar, Amri Napolitano
2012ICMLAUsing Twitter Content to Predict Psychopathy.Randall Wald, Taghi M. Khoshgoftaar, Amri Napolitano, Chris Sumner
2012ICMLAAn Empirical Study on the Stability of Feature Selection for Imbalanced Software Engineering Data.Huanjing Wang, Taghi M. Khoshgoftaar, Amri Napolitano
2012ICMLAA Comparative Study on the Stability of Software Metric Selection Techniques.Huanjing Wang, Taghi M. Khoshgoftaar, Randall Wald, Amri Napolitano
2012IRIA review of the stability of feature selection techniques for bioinformatics data.Wael Awada, Taghi M. Khoshgoftaar, David J. Dittman, Randall Wald, Amri Napolitano
2012IRIExploring an iterative feature selection technique for highly imbalanced data sets.Taghi M. Khoshgoftaar, Kehan Gao, Amri Napolitano
2012IRIImpact of noise and data sampling on stability of feature ranking techniques for biological datasets.Ahmad Abu Shanab, Taghi M. Khoshgoftaar, Randall Wald, Amri Napolitano
2012IRIAn extensive comparison of feature ranking aggregation techniques in bioinformatics.Randall Wald, Taghi M. Khoshgoftaar, David J. Dittman, Wael Awada, Amri Napolitano
2012IRIA novel dataset-similarity-aware approach for evaluating stability of software metric selection techniques.Huanjing Wang, Taghi M. Khoshgoftaar, Randall Wald, Amri Napolitano
2012SEKEStability of Filter-Based Feature Selection Methods for Imbalanced Software Measurement Data.Kehan Gao, Taghi M. Khoshgoftaar, Amri Napolitano
2012SEKEAn Empirical Study of Software Metric Selection Techniques for Defect Prediction.Huanjing Wang, Taghi M. Khoshgoftaar, Randall Wald, Amri Napolitano
2011IRIA noise-based stability evaluation of threshold-based feature selection techniques.Wilker Altidor, Taghi M. Khoshgoftaar, Amri Napolitano
2011IRIA comparative evaluation of feature ranking methods for high dimensional bioinformatics data.Jason Van Hulse, Taghi M. Khoshgoftaar, Amri Napolitano
2011ICTAIImpact of Data Sampling on Stability of Feature Selection for Software Measurement Data.Kehan Gao, Taghi M. Khoshgoftaar, Amri Napolitano
2011PAKDDUsing Classifier-Based Nominal Imputation to Improve Machine Learning.Xiaoyuan Su, Russell Greiner, Taghi M. Khoshgoftaar, Amri Napolitano
2011SEKEA Comparative Study of Different Strategies for Predicting Software Quality.Taghi M. Khoshgoftaar, Kehan Gao, Amri Napolitano
2011SEKEAn Empirical Study of Software Metrics Selection Using Support Vector Machine.Huanjing Wang, Taghi M. Khoshgoftaar, Amri Napolitano
2010ICMLAA Novel Noise Filtering Algorithm for Imbalanced Data.Jason Van Hulse, Taghi M. Khoshgoftaar, Amri Napolitano
2010ICMLAA Comparative Study of Ensemble Feature Selection Techniques for Software Defect Prediction.Huanjing Wang, Taghi M. Khoshgoftaar, Amri Napolitano
2010IRIEvaluating the impact of data quality on sampling.Jason Van Hulse, Taghi M. Khoshgoftaar, Amri Napolitano
2009ICDMFeature Selection with High-Dimensional Imbalanced Data.Jason Van Hulse, Taghi M. Khoshgoftaar, Amri Napolitano, Randall Wald
2009ICMLAWrapper-Based Feature Ranking for Software Engineering Metrics.Wilker Altidor, Taghi M. Khoshgoftaar, Amri Napolitano
2009IRIAn Empirical Comparison of Repetitive Undersampling Techniques.Jason Van Hulse, Taghi M. Khoshgoftaar, Amri Napolitano
2009ICTAIExploring Software Quality Classification with a Wrapper-Based Feature Ranking Technique.Kehan Gao, Taghi M. Khoshgoftaar, Amri Napolitano
2008FlAIRSBuilding Useful Models from Imbalanced Data with Sampling and Boosting.Chris Seiffert, Taghi M. Khoshgoftaar, Jason Van Hulse, Amri Napolitano
2008ICDMA Comparative Study of Data Sampling and Cost Sensitive Learning.Chris Seiffert, Taghi M. Khoshgoftaar, Jason Van Hulse, Amri Napolitano
2008ICMLAComparison of Four Performance Metrics for Evaluating Sampling Techniques for Low Quality Class-Imbalanced Data.Andres Folleco, Taghi M. Khoshgoftaar, Amri Napolitano
2008ICPRRUSBoost: Improving classification performance when training data is skewed.Chris Seiffert, Taghi M. Khoshgoftaar, Jason Van Hulse, Amri Napolitano
2008ICTAIResampling or Reweighting: A Comparison of Boosting Implementations.Chris Seiffert, Taghi M. Khoshgoftaar, Jason Van Hulse, Amri Napolitano
2008ICTAIImproving Learner Performance with Data Sampling and Boosting.Chris Seiffert, Taghi M. Khoshgoftaar, Jason Van Hulse, Amri Napolitano
2007ICDMSkewed Class Distributions and Mislabeled Examples.Jason Van Hulse, Taghi M. Khoshgoftaar, Amri Napolitano
2007ICMLExperimental perspectives on learning from imbalanced data.Jason Van Hulse, Taghi M. Khoshgoftaar, Amri Napolitano
2007ICMLALearning with limited minority class data.Taghi M. Khoshgoftaar, Chris Seiffert, Jason Van Hulse, Amri Napolitano, Andres Folleco
2007ICTAIMining Data with Rare Events: A Case Study.Chris Seiffert, Taghi M. Khoshgoftaar, Jason Van Hulse, Amri Napolitano
1982DACAn interactive drafting system based on two dimensional primitives.G. Cosmai, Umberto Cugini, Piero Mussio, Amri Napolitano