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    First name: Taghi M.
    Last name: Khoshgoftaar
    DBLP: k/TMKhoshgoftaar
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    Conference paper
    Gabriel Castaneda Oscos, Taghi M. Khoshgoftaar.
    A Review of Performance Evaluation on 2D Face Databases.
    Third IEEE International Conference on Big Data Computing Service and Applications, BigDataService 2017, Redwood City, CA, USA, April 6-9, 2017 2017 (0) 2017
    Conference paper
    Joseph D. Prusa, Taghi M. Khoshgoftaar.
    Deep Neural Network Architecture for Character-Level Learning on Short Text.
    Proceedings of the Thirtieth International Florida Artificial Intelligence Research Society Conference, FLAIRS 2017, Marco Island, Florida, USA, May 22-24, 2017. 2017 (0) 2017
    Conference paper
    Richard A. Bauder, Taghi M. Khoshgoftaar.
    Multivariate Anomaly Detection in Medicare using Model Residuals and Probabilistic Programming.
    Proceedings of the Thirtieth International Florida Artificial Intelligence Research Society Conference, FLAIRS 2017, Marco Island, Florida, USA, May 22-24, 2017. 2017 (0) 2017
    Conference paper
    Maryam M. Najafabadi, Taghi M. Khoshgoftaar, Chad Calvert, Clifford Kemp.
    A Text Mining Approach for Anomaly Detection in Application Layer DDoS Attacks.
    Proceedings of the Thirtieth International Florida Artificial Intelligence Research Society Conference, FLAIRS 2017, Marco Island, Florida, USA, May 22-24, 2017. 2017 (0) 2017
    Conference paper
    Brian Heredia, Taghi M. Khoshgoftaar, Joseph D. Prusa, Michael Crawford.
    Improving detection of untrustworthy online reviews using ensemble learners combined with feature selection.
    Social Netw. Analys. Mining 2017, Volume 7 (0) 2017
    Conference paper
    Richard A. Bauder, Taghi M. Khoshgoftaar.
    Estimating Outlier Score Probabilities.
    2017 IEEE International Conference on Information Reuse and Integration, IRI 2017, San Diego, CA, USA, August 4-6, 2017 2017 (0) 2017
    Conference paper
    Matthew Herland, Richard A. Bauder, Taghi M. Khoshgoftaar.
    Medical Provider Specialty Predictions for the Detection of Anomalous Medicare Insurance Claims.
    2017 IEEE International Conference on Information Reuse and Integration, IRI 2017, San Diego, CA, USA, August 4-6, 2017 2017 (0) 2017
    Conference paper
    Maryam M. Najafabadi, Taghi M. Khoshgoftaar, Chad Calvert, Clifford Kemp.
    User Behavior Anomaly Detection for Application Layer DDoS Attacks.
    2017 IEEE International Conference on Information Reuse and Integration, IRI 2017, San Diego, CA, USA, August 4-6, 2017 2017 (0) 2017
    Conference paper
    Karl R. Weiss, Taghi M. Khoshgoftaar.
    Analysis of Transfer Learning Performance Measures.
    2017 IEEE International Conference on Information Reuse and Integration, IRI 2017, San Diego, CA, USA, August 4-6, 2017 2017 (0) 2017
    Conference paper
    Joseph D. Prusa, Ryan Sagul, Taghi M. Khoshgoftaar, Michael Sterling.
    Extracting Knowledge from Technical Reports for the Valuation of West Texas Intermediate Crude Oil Futures.
    2017 IEEE International Conference on Information Reuse and Integration, IRI 2017, San Diego, CA, USA, August 4-6, 2017 2017 (0) 2017
    Conference paper
    Sara Landset, Michael F. Bergeron, Taghi M. Khoshgoftaar.
    Using Weather and Playing Surface to Predict the Occurrence of Injury in Major League Soccer Games: A Case Study.
    2017 IEEE International Conference on Information Reuse and Integration, IRI 2017, San Diego, CA, USA, August 4-6, 2017 2017 (0) 2017
    Conference paper
    Aaron N. Richter, Taghi M. Khoshgoftaar.
    Modernizing Analytics for Melanoma with a Large-Scale Research Dataset.
    2017 IEEE International Conference on Information Reuse and Integration, IRI 2017, San Diego, CA, USA, August 4-6, 2017 2017 (0) 2017
    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.
    Comparing Approaches for Combining Data Sampling and Feature Selection to Address Key Data Quality Issues in Tweet Sentiment Analysis.
    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
    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
    Michael Crawford, Taghi M. Khoshgoftaar, Joseph D. Prusa.
    Reducing Feature Set Explosion to Facilitate Real-World Review Spam Detection.
    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
    Joseph D. Prusa, Taghi M. Khoshgoftaar, Naeem Seliya.
    Enhancing Ensemble Learners with Data Sampling on High-Dimensional Imbalanced Tweet Sentiment Data.
    Proceedings of the Twenty-Ninth International Florida Artificial Intelligence Research Society Conference, FLAIRS 2016, Key Largo, Florida, May 16-18, 2016. 2016 (0) 2016
    Journal article
    Kewen Li, Lu Liu, Jiannan Zhai, Taghi M. Khoshgoftaar, Timing Li.
    The improved grey model based on particle swarm optimization algorithm for time series prediction.
    Eng. Appl. of AI 2016, Volume 55 (0) 2016
    Conference paper
    Joseph D. Prusa, Taghi M. Khoshgoftaar.
    Designing a Better Data Representation for Deep Neural Networks and Text Classification.
    17th IEEE International Conference on Information Reuse and Integration, IRI 2016, Pittsburgh, PA, USA, July 28-30, 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
    Karl R. Weiss, Taghi M. Khoshgoftaar, Oneeb Rehman.
    Designing a Testing Framework for Transfer Learning Algorithms (Application Paper).
    17th IEEE International Conference on Information Reuse and Integration, IRI 2016, Pittsburgh, PA, USA, July 28-30, 2016 2016 (0) 2016
    Conference paper
    Aaron N. Richter, Taghi M. Khoshgoftaar.
    Predicting Cancer Relapse with Clinical Data: A Survey of Current Techniques.
    17th IEEE International Conference on Information Reuse and Integration, IRI 2016, Pittsburgh, PA, USA, July 28-30, 2016 2016 (0) 2016
    Conference paper
    Brian Heredia, Taghi M. Khoshgoftaar, Joseph D. Prusa, Michael Crawford.
    Cross-Domain Sentiment Analysis: An Empirical Investigation.
    17th IEEE International Conference on Information Reuse and Integration, IRI 2016, Pittsburgh, PA, USA, July 28-30, 2016 2016 (0) 2016
    Conference paper
    Richard A. Bauder, Taghi M. Khoshgoftaar.
    A Novel Method for Fraudulent Medicare Claims Detection from Expected Payment Deviations (Application Paper).
    17th IEEE International Conference on Information Reuse and Integration, IRI 2016, Pittsburgh, PA, USA, July 28-30, 2016 2016 (0) 2016
    Conference paper
    Brian Heredia, Taghi M. Khoshgoftaar, Joseph D. Prusa, Michael Crawford.
    Integrating Multiple Data Sources to Enhance Sentiment Prediction.
    2nd IEEE International Conference on Collaboration and Internet Computing, CIC 2016, Pittsburgh, PA, USA, November 1-3, 2016 2016 (0) 2016
    Conference paper
    Richard A. Bauder, Taghi M. Khoshgoftaar, Aaron N. Richter, Matthew Herland.
    Predicting Medical Provider Specialties to Detect Anomalous Insurance Claims.
    28th IEEE International Conference on Tools with Artificial Intelligence, ICTAI 2016, San Jose, CA, USA, November 6-8, 2016 2016 (0) 2016
    Conference paper
    Karl R. Weiss, Taghi M. Khoshgoftaar.
    An Investigation of Transfer Learning and Traditional Machine Learning Algorithms.
    28th IEEE International Conference on Tools with Artificial Intelligence, ICTAI 2016, San Jose, CA, USA, November 6-8, 2016 2016 (0) 2016
    Conference paper
    Karl R. Weiss, Taghi M. Khoshgoftaar.
    Investigating Transfer Learners for Robustness to Domain Class Imbalance.
    15th IEEE International Conference on Machine Learning and Applications, ICMLA 2016, Anaheim, CA, USA, December 18-20, 2016 2016 (0) 2016
    Conference paper
    Richard A. Bauder, Taghi M. Khoshgoftaar.
    A Probabilistic Programming Approach for Outlier Detection in Healthcare Claims.
    15th IEEE International Conference on Machine Learning and Applications, ICMLA 2016, Anaheim, CA, USA, December 18-20, 2016 2016 (0) 2016
    Conference paper
    Brian Heredia, Taghi M. Khoshgoftaar, Joseph D. Prusa, Michael Crawford.
    An Investigation of Ensemble Techniques for Detection of Spam Reviews.
    15th IEEE International Conference on Machine Learning and Applications, ICMLA 2016, Anaheim, CA, USA, December 18-20, 2016 2016 (0) 2016
    Conference paper
    Richard Zuech, Taghi M. Khoshgoftaar, Naeem Seliya, Maryam M. Najafabadi, Clifford Kemp.
    A New Intrusion Detection Benchmarking System.
    Proceedings of the Twenty-Eighth International Florida Artificial Intelligence Research Society Conference, FLAIRS 2015, Hollywood, Florida. May 18-20, 2015. 2015 (0) 2015
    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
    Conference paper
    Joseph D. Prusa, Taghi M. Khoshgoftaar, David J. Dittman.
    Impact of Feature Selection Techniques for Tweet Sentiment Classification.
    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
    Aaron N. Richter, Taghi M. Khoshgoftaar, Sara Landset, Tawfiq Hasanin.
    A Multi-dimensional Comparison of Toolkits for Machine Learning with Big 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
    Gabriel Castaneda Oscos, Taghi M. Khoshgoftaar.
    A Survey of 2D Face Databases.
    2015 IEEE International Conference on Information Reuse and Integration, IRI 2015, San Francisco, CA, USA, August 13-15, 2015 2015 (0) 2015
    Conference paper
    Alireza Fazelpour, Taghi M. Khoshgoftaar, David J. Dittman, Ahmad Abu Shanab.
    Observing the Effect of the Choice of Classifier on Bioinformatics Data with Varying Levels of Data Quality and Class Balance.
    2015 IEEE International Conference on Information Reuse and Integration, IRI 2015, San Francisco, CA, USA, August 13-15, 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
    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, 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
    Brian Heredia, Taghi M. Khoshgoftaar, Alireza Fazelpour, David J. Dittman.
    Building an Effective Classification Model for Breast Cancer Patient Response 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
    Aaron N. Richter, Michael Crawford, Brian Heredia, Taghi M. Khoshgoftaar.
    Efficient Modeling of User-Entity Preference in Big Social Networks.
    27th IEEE International Conference on Tools with Artificial Intelligence, ICTAI 2015, Vietri sul Mare, Italy, November 9-11, 2015 2015 (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
    Joseph D. Prusa, Taghi M. Khoshgoftaar, David J. Dittman.
    Using Ensemble Learners to Improve Classifier Performance 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
    Joseph D. Prusa, Taghi M. Khoshgoftaar, Naeem Seliya.
    The Effect of Dataset Size on Training Tweet Sentiment Classifiers.
    14th IEEE International Conference on Machine Learning and Applications, ICMLA 2015, Miami, FL, USA, December 9-11, 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
    Maryam M. Najafabadi, Taghi M. Khoshgoftaar, Chad Calvert, Clifford Kemp.
    Detection of SSH Brute Force Attacks Using Aggregated Netflow 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.
    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
    Huanjing Wang, Taghi M. Khoshgoftaar, Naeem Seliya.
    On the Stability of Feature Selection Methods in Software Quality Prediction: An Empirical Investigation.
    International Journal of Software Engineering and Knowledge Engineering 2015, Volume 25 (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
    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
    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
    Journal article
    Jason Van Hulse, Taghi M. Khoshgoftaar.
    Incomplete-case nearest neighbor imputation in software measurement data.
    Inf. Sci. 2014, Volume 259 (0) 2014
    Journal article
    Taghi M. Khoshgoftaar, Yudong Xiao, Kehan Gao.
    Software quality assessment using a multi-strategy classifier.
    Inf. Sci. 2014, Volume 259 (0) 2014
    Journal article
    Zhiwei Xu, Kehan Gao, Taghi M. Khoshgoftaar, Naeem Seliya.
    System regression test planning with a fuzzy expert system.
    Inf. Sci. 2014, Volume 259 (0) 2014
    Journal article
    Chris Seiffert, Taghi M. Khoshgoftaar, Jason Van Hulse, Andres Folleco.
    An empirical study of the classification performance of learners on imbalanced and noisy software quality data.
    Inf. Sci. 2014, Volume 259 (0) 2014
    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
    Kehan Gao, Taghi M. Khoshgoftaar, Randall Wald.
    Combining Feature Selection and Ensemble Learning for Software Quality Estimation.
    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
    Maryam M. Najafabadi, Taghi M. Khoshgoftaar, Clifford Kemp, Naeem Seliya, Richard Zuech.
    Machine Learning for Detecting Brute Force Attacks at the Network Level.
    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, 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
    Ahmad Abu Shanab, Taghi M. Khoshgoftaar, Randall Wald.
    Evaluation of Wrapper-Based Feature Selection Using Hard, Moderate, and Easy Bioinformatics Data.
    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
    Charles Wheelus, Taghi M. Khoshgoftaar, Richard Zuech, Maryam M. Najafabadi.
    A Session Based Approach for Aggregating Network Traffic Data - The SANTA Dataset.
    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
    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
    Randall Wald, Flavio Villanustre, Taghi M. Khoshgoftaar, Richard Zuech, Jarvis Robinson, Edin Muharemagic.
    Using feature selection and classification to build effective and efficient firewalls.
    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
    Randall Wald, Taghi M. Khoshgoftaar, Ahmad Abu Shanab.
    The effect of noise level and distribution on classification of easy gene microarray 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
    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
    Gabriel Castaneda Oscos, Taghi M. Khoshgoftaar, Randall Wald.
    Rotation invariant face recognition survey.
    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
    Randall Wald, Taghi M. Khoshgoftaar, David J. Dittman.
    Ensemble Gene Selection Versus Single Gene Selection: Which Is Better?
    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
    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, Alireza Fazelpour, David J. Dittman.
    Hidden dependencies between class imbalance and difficulty of learning for bioinformatics 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.
    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
    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
    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
    Randall Wald, Taghi M. Khoshgoftaar, Alireza Fazelpour.
    The use of balance-aware subsampling for bioinformatics datasets.
    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, 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
    Huanjing Wang, Taghi M. Khoshgoftaar, Qianhui Althea Liang.
    A Study of Software Metric Selection Techniques: stability Analysis and Defect Prediction Model Performance.
    International Journal on Artificial Intelligence Tools 2013, Volume 22 (0) 2013
    Conference paper
    Xingquan Zhu, Taghi M. Khoshgoftaar.
    Editorial.
    International Journal on Artificial Intelligence Tools 2013, Volume 22 (0) 2013
    Conference paper
    Randall Wald, Taghi M. Khoshgoftaar, John C. Sloan.
    Feature Selection for Optimization of Wavelet Packet Decomposition in Reliability Analysis of Systems.
    International Journal on Artificial Intelligence Tools 2013, Volume 22 (0) 2013
    Conference paper
    Taghi M. Khoshgoftaar, David J. Dittman, Randall Wald, Wael Awada.
    A Review of Ensemble Classification for DNA Microarrays Data.
    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.
    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, Ahmad Abu Shanab.
    Comparison of Two Frameworks for Measuring the Stability of Gene-Selection Techniques on Noisy Class-Imbalanced Data.
    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
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