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 | 2012 | |
|---|---|---|
| j114 |      | Wilker Altidor, Taghi M. Khoshgoftaar, Amri Napolitano: Measuring stability of feature ranking techniques: a noise-based approach. IJBIDM 7(1/2): 80-115 (2012) |
| j113 | | Ahmad Abu Shanab, Taghi M. Khoshgoftaar, Randall Wald, Jason Van Hulse: Evaluation of the importance of data pre-processing order when combining feature selection and data sampling. IJBIDM 7(1/2): 116-134 (2012) |
| j112 | | Kehan Gao, Taghi M. Khoshgoftaar, Huanjing Wang: Exploring filter-based feature selection techniques for software quality classification. IJIDS 4(2/3): 217-250 (2012) |
| j111 | | Huanjing Wang, Taghi M. Khoshgoftaar, Amri Napolitano: Software measurement data reduction using ensemble techniques. Neurocomputing 92: 124-132 (2012) |
| j110 | | 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 22(2): 161-183 (2012) |
| j109 | | Ankur Agarwal, Georgiana L. Hamza-Lup, Taghi M. Khoshgoftaar: A System-Level Modeling Methodology for Performance-Driven Component Selection in Multicore Architectures. IEEE Systems Journal 6(2): 317-328 (2012) |
| j108 | | Kehan Gao, Taghi M. Khoshgoftaar, Naeem Seliya: Predicting high-risk program modules by selecting the right software measurements. Software Quality Journal 20(1): 3-42 (2012) |
| c188 | | David J. Dittman, Taghi M. Khoshgoftaar, Randall Wald, Amri Napolitano: Similarity analysis of feature ranking techniques on imbalanced DNA microarray datasets. BIBM 2012: 1-5 |
| c187 | | Randall Wald, Taghi M. Khoshgoftaar, Ahmad Abu Shanab: The effect of measurement approach and noise level on gene selection stability. BIBM 2012: 1-5 |
| c186 | | Ahmad Abu Shanab, Taghi M. Khoshgoftaar, Randall Wald: Robustness of Threshold-Based Feature Rankers with Data Sampling on Noisy and Imbalanced Data. FLAIRS Conference 2012 |
| c185 | | Randall Wald, Taghi M. Khoshgoftaar, David J. Dittman: Mean Aggregation versus Robust Rank Aggregation for Ensemble Gene Selection. ICMLA (1) 2012: 63-69 |
| c184 | | 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: 82-89 |
| c183 | | Taghi M. Khoshgoftaar, David J. Dittman, Randall Wald, Alireza Fazelpour: First Order Statistics Based Feature Selection: A Diverse and Powerful Family of Feature Seleciton Techniques. ICMLA (2) 2012: 151-157 |
| c182 | | Randall Wald, Taghi M. Khoshgoftaar, David J. Dittman: A New Fixed-Overlap Partitioning Algorithm for Determining Stability of Bioinformatics Gene Rankers. ICMLA (2) 2012: 170-177 |
| c181 | | 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: 184-191 |
| c180 | | Wael Awada, Taghi M. Khoshgoftaar, David J. Dittman, Randall Wald: The Effect of Number of Iterations on Ensemble Gene Selection. ICMLA (2) 2012: 198-203 |
| c179 | | 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: 268-275 |
| c178 | | 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: 281-288 |
| c177 | | Huanjing Wang, Taghi M. Khoshgoftaar, Randall Wald, Amri Napolitano: A Comparative Study on the Stability of Software Metric Selection Techniques. ICMLA (2) 2012: 301-307 |
| c176 | | Huanjing Wang, Taghi M. Khoshgoftaar, Amri Napolitano: An Empirical Study on the Stability of Feature Selection for Imbalanced Software Engineering Data. ICMLA (1) 2012: 317-323 |
| c175 | | Janell Duhaney, Taghi M. Khoshgoftaar, Randall Wald: Applying Feature Selection to Short Time Wavelet Transformed Vibration Data for Reliability Analysis of an Ocean Turbine. ICMLA (1) 2012: 330-337 |
| c174 | | Randall Wald, Taghi M. Khoshgoftaar, Amri Napolitano, Chris Sumner: Using Twitter Content to Predict Psychopathy. ICMLA (2) 2012: 394-401 |
| c173 | | Janell Duhaney, Taghi M. Khoshgoftaar: Decision Level Fusion of Wavelet Features for Ocean Turbine State Detection. ICMLA (2) 2012: 531-537 |
| c172 | | Jason Van Hulse, Taghi M. Khoshgoftaar, Amri Napolitano: A Novel Noise-Resistant Boosting Algorithm for Class-Skewed Data. ICMLA (2) 2012: 551-557 |
| c171 | | 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: 1-8 |
| c170 | | Taghi M. Khoshgoftaar, Kehan Gao, Amri Napolitano: Exploring an iterative feature selection technique for highly imbalanced data sets. IRI 2012: 101-108 |
| c169 | | Gordon K. Lee, Elisa Bertino, Stuart Harvey Rubin, Taghi M. Khoshgoftaar, Bhavani M. Thuraisingham, James D. McCaffrey: Panel: Using information re-use and integration principles in big data. IRI 2012 |
| c168 | | Randall Wald, Taghi M. Khoshgoftaar, Chris Sumner: Machine prediction of personality from Facebook profiles. IRI 2012: 109-115 |
| c167 | | 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: 356-363 |
| c166 | | Randall Wald, Taghi M. Khoshgoftaar, David J. Dittman, Wael Awada, Amri Napolitano: An extensive comparison of feature ranking aggregation techniques in bioinformatics. IRI 2012: 377-384 |
| c165 | | 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: 415-422 |
| c164 |  | Kehan Gao, Taghi M. Khoshgoftaar, Amri Napolitano: Stability of Filter-Based Feature Selection Methods for Imbalanced Software Measurement Data. SEKE 2012: 74-79 |
| c163 | | Huanjing Wang, Taghi M. Khoshgoftaar, Randall Wald, Amri Napolitano: An Empirical Study of Software Metric Selection Techniques for Defect Prediction. SEKE 2012: 94-99 |
| 2011 | ||
| j107 | | Jason Van Hulse, Taghi M. Khoshgoftaar, Amri Napolitano: An exploration of learning when data is noisy and imbalanced. Intell. Data Anal. 15(2): 215-236 (2011) |
| j106 | | Huanjing Wang, Taghi M. Khoshgoftaar, Jason Van Hulse, Kehan Gao: Metric Selection for Software Defect Prediction. International Journal of Software Engineering and Knowledge Engineering 21(2): 237-257 (2011) |
| j105 | | Alex Kotlarchyk, Taghi M. Khoshgoftaar, Mirjana Pavlovic, Hanqi Zhuang, Abhijit S. Pandya: Identification of microRNA biomarkers for cancer by combining multiple feature selection techniques. J. Comput. Meth. in Science and Engineering 11(5-6): 283-298 (2011) |
| j104 | | Jason Van Hulse, Taghi M. Khoshgoftaar, Amri Napolitano: Evaluating the Impact of Data Quality on Sampling. JIKM 10(3): 225-245 (2011) |
| j103 | | Kehan Gao, Taghi M. Khoshgoftaar, Huanjing Wang, Naeem Seliya: Choosing software metrics for defect prediction: an investigation on feature selection techniques. Softw., Pract. Exper. 41(5): 579-606 (2011) |
| j102 | | 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 41(3): 552-568 (2011) |
| j101 | | Qianhui Liang, Xindong Wu, E. K. Park, Taghi M. Khoshgoftaar, Chi-Hung Chi: Ontology-Based Business Process Customization for Composite Web Services. IEEE Transactions on Systems, Man, and Cybernetics, Part A 41(4): 717-729 (2011) |
| j100 | | Naeem Seliya, Taghi M. Khoshgoftaar: The use of decision trees for cost-sensitive classification: an empirical study in software quality prediction. Wiley Interdisc. Rew.: Data Mining and Knowledge Discovery 1(5): 448-459 (2011) |
| c162 | | David J. Dittman, Taghi M. Khoshgoftaar, Randall Wald, Huanjing Wang: Stability Analysis of Feature Ranking Techniques on Biological Datasets. BIBM 2011: 252-256 |
| c161 | | David J. Dittman, Taghi M. Khoshgoftaar, Randall Wald, Amri Napolitano: Random forest: A reliable tool for patient response prediction. BIBM Workshops 2011: 289-296 |
| c160 | | Wilker Altidor, Taghi M. Khoshgoftaar, Jason Van Hulse: Robustness of Filter-Based Feature Ranking: A Case Study. FLAIRS Conference 2011 |
| c159 | | Janell Duhaney, Taghi M. Khoshgoftaar, John C. Sloan: Feature Level Sensor Fusion for Improved Fault Detection in MCM Systems for Ocean Turbines. FLAIRS Conference 2011 |
| c158 | | Huanjing Wang, Taghi M. Khoshgoftaar, Naeem Seliya: How Many Software Metrics Should be Selected for Defect Prediction? FLAIRS Conference 2011 |
| c157 | | John C. Sloan, Taghi M. Khoshgoftaar: Ensemble Coordination for Discrete Event Control. HASE 2011: 227-235 |
| c156 | | Randall Wald, Taghi M. Khoshgoftaar, John C. Sloan: Using Feature Selection to Determine Optimal Depth for Wavelet Packet Decomposition of Vibration Signals for Ocean System Reliability. HASE 2011: 236-243 |
| c155 | | Janell Duhaney, Taghi M. Khoshgoftaar, John C. Sloan, Bassem Alhalabi, Pierre P. Beaujean: A Dynamometer for an Ocean Turbine Prototype: Reliability through Automated Monitoring. HASE 2011: 244-251 |
| c154 | | Huanjing Wang, Taghi M. Khoshgoftaar, Qianhui Althea Liang: Stability and Classification Performance of Feature Selection Techniques. ICMLA (1) 2011: 151-156 |
| c153 | | Ahmad Abu Shanab, Taghi M. Khoshgoftaar, Randall Wald: Impact of Noise and Data Sampling on Stability of Feature Selection. ICMLA (1) 2011: 172-177 |
| c152 | | Randall Wald, Taghi M. Khoshgoftaar, John C. Sloan: Feature Selection for Vibration Sensor Data Transformed by a Streaming Wavelet Packet Decomposition. ICTAI 2011: 978-985 |
| c151 | | Huanjing Wang, Taghi M. Khoshgoftaar: Measuring Stability of Threshold-Based Feature Selection Techniques. ICTAI 2011: 986-993 |
| c150 | | Kehan Gao, Taghi M. Khoshgoftaar, Amri Napolitano: Impact of Data Sampling on Stability of Feature Selection for Software Measurement Data. ICTAI 2011: 1004-1011 |
| c149 | | Janell Duhaney, Taghi M. Khoshgoftaar, John C. Sloan: Feature Selection on Dynamometer Data for Reliability Analysis. ICTAI 2011: 1012-1019 |
| c148 | | Ahmad Abu Shanab, Taghi M. Khoshgoftaar, Randall Wald, Jason Van Hulse: Comparison of approaches to alleviate problems with high-dimensional and class-imbalanced data. IRI 2011: 234-239 |
| c147 | | Wilker Altidor, Taghi M. Khoshgoftaar, Amri Napolitano: A noise-based stability evaluation of threshold-based feature selection techniques. IRI 2011: 240-245 |
| c146 | | Huanjing Wang, Taghi M. Khoshgoftaar, Randall Wald: Measuring robustness of Feature Selection techniques on software engineering datasets. IRI 2011: 309-314 |
| c145 | | Jason Van Hulse, Taghi M. Khoshgoftaar, Amri Napolitano: A comparative evaluation of feature ranking methods for high dimensional bioinformatics data. IRI 2011: 315-320 |
| c144 | | Randall Wald, Taghi M. Khoshgoftaar, John C. Sloan: Fourier transforms for vibration analysis: A review and case study. IRI 2011: 366-371 |
| c143 | | Xiaoyuan Su, Russell Greiner, Taghi M. Khoshgoftaar, Amri Napolitano: Using Classifier-Based Nominal Imputation to Improve Machine Learning. PAKDD (1) 2011: 124-135 |
| c142 | | Taghi M. Khoshgoftaar, Kehan Gao, Amri Napolitano: A Comparative Study of Different Strategies for Predicting Software Quality. SEKE 2011: 65-70 |
| c141 | | Huanjing Wang, Taghi M. Khoshgoftaar, Amri Napolitano: An Empirical Study of Software Metrics Selection Using Support Vector Machine. SEKE 2011: 83-88 |
| c140 | | |
| e3 | | Taghi M. Khoshgoftaar (Ed.): 13th IEEE International Symposium on High-Assurance Systems Engineering, HASE 2011, Boca Raton, FL, USA, November 10-12, 2011. IEEE Computer Society 2011, isbn 978-1-4673-0107-7 |
| 2010 | ||
| j99 | | Taghi M. Khoshgoftaar, Naeem Seliya, Dennis J. Drown: Evolutionary data analysis for the class imbalance problem. Intell. Data Anal. 14(1): 69-88 (2010) |
| j98 | | Jason Van Hulse, Taghi M. Khoshgoftaar, Amri Napolitano: An Empirical Evaluation of Repetitive Undersampling Techniques. International Journal of Software Engineering and Knowledge Engineering 20(2): 173-195 (2010) |
| j97 | | Lianfen Qian, Qingchuan Yao, Taghi M. Khoshgoftaar: Dynamic Two-phase Truncated Rayleigh Model for Release Date Prediction of Software. JSEA 3(6): 603-609 (2010) |
| j96 | | 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 21(5): 813-830 (2010) |
| j95 | | Yi Liu, Taghi M. Khoshgoftaar, Naeem Seliya: Evolutionary Optimization of Software Quality Modeling with Multiple Repositories. IEEE Trans. Software Eng. 36(6): 852-864 (2010) |
| j94 | | 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 40(1): 185-197 (2010) |
| c139 | | Taghi M. Khoshgoftaar, Kehan Gao, Amri Napolitano: An Empirical Study of Predictive Modeling Techniques of Software Quality. BIONETICS 2010: 288-302 |
| c138 | | Kehan Gao, Taghi M. Khoshgoftaar, Jason Van Hulse: An Evaluation of Sampling on Filter-Based Feature Selection Methods. FLAIRS Conference 2010 |
| c137 | | Huanjing Wang, Taghi M. Khoshgoftaar, Jason Van Hulse: A Comparative Study of Threshold-Based Feature Selection Techniques. GrC 2010: 499-504 |
| c136 | | Naeem Seliya, Taghi M. Khoshgoftaar, Jason Van Hulse: Predicting Faults in High Assurance Software. HASE 2010: 26-34 |
| c135 | | Jason Van Hulse, Taghi M. Khoshgoftaar, Amri Napolitano: A Novel Noise Filtering Algorithm for Imbalanced Data. ICMLA 2010: 9-14 |
| c134 | | Huanjing Wang, Taghi M. Khoshgoftaar, Amri Napolitano: A Comparative Study of Ensemble Feature Selection Techniques for Software Defect Prediction. ICMLA 2010: 135-140 |
| c133 | | David J. Dittman, Taghi M. Khoshgoftaar, Randall Wald, Jason Van Hulse: Comparative Analysis of DNA Microarray Data through the Use of Feature Selection Techniques. ICMLA 2010: 147-152 |
| c132 | | Taghi M. Khoshgoftaar, Kehan Gao, Naeem Seliya: Attribute Selection and Imbalanced Data: Problems in Software Defect Prediction. ICTAI (1) 2010: 137-144 |
| c131 | | Jason Van Hulse, Taghi M. Khoshgoftaar, Amri Napolitano: Evaluating the impact of data quality on sampling. IRI 2010: 31-36 |
| c130 | | Huanjing Wang, Taghi M. Khoshgoftaar, Kehan Gao: A comparative study of filter-based feature ranking techniques. IRI 2010: 43-48 |
| c129 | | Naeem Seliya, Taghi M. Khoshgoftaar: Active learning with neural networks for intrusion detection. IRI 2010: 49-54 |
| c128 | | Taghi M. Khoshgoftaar, Kehan Gao, Jason Van Hulse: A novel feature selection technique for highly imbalanced data. IRI 2010: 80-85 |
| c127 | | |
| c126 | | Huanjing Wang, Taghi M. Khoshgoftaar, Kehan Gao: Ensemble Feature Selection Technique for Software Quality Classification. SEKE 2010: 215-220 |
| e2 | | Sorin Draghici, Taghi M. Khoshgoftaar, Vasile Palade, Witold Pedrycz, M. Arif Wani, Xingquan Zhu (Eds.): The Ninth International Conference on Machine Learning and Applications, ICMLA 2010, Washington, DC, USA, 12-14 December 2010. IEEE Computer Society 2010, isbn 978-0-7695-4300-0 |
| 2009 | ||
| j93 | | Xiaoyuan Su, Taghi M. Khoshgoftaar: A Survey of Collaborative Filtering Techniques. Adv. Artificial Intellegence 2009 (2009) |
| j92 | | Jason Van Hulse, Taghi M. Khoshgoftaar: Knowledge discovery from imbalanced and noisy data. Data Knowl. Eng. 68(12): 1513-1542 (2009) |
| j91 | | Xiaoyuan Su, Taghi M. Khoshgoftaar, Russell Greiner: Making an accurate classifier ensemble by voting on classifications from imputed learning sets. IJIDS 1(3): 301-322 (2009) |
| j90 | | Andres Folleco, Taghi M. Khoshgoftaar, Jason Van Hulse, Amri Napolitano: Identifying Learners Robust to Low Quality Data. Informatica (Slovenia) 33(3): 245-259 (2009) |
| j89 | | Taghi M. Khoshgoftaar, Pierre Rebours, Naeem Seliya: Software quality analysis by combining multiple projects and learners. Software Quality Journal 17(1): 25-49 (2009) |
| j88 | | John C. Sloan, Taghi M. Khoshgoftaar: From Web Service Artifact to a Readable and Verifiable Model. IEEE T. Services Computing 2(4): 277-288 (2009) |
| j87 | | Taghi M. Khoshgoftaar, Jason Van Hulse: Empirical Case Studies in Attribute Noise Detection. IEEE Transactions on Systems, Man, and Cybernetics, Part C 39(4): 379-388 (2009) |
| j86 | | Dennis J. Drown, Taghi M. Khoshgoftaar, Naeem Seliya: Evolutionary Sampling and Software Quality Modeling of High-Assurance Systems. IEEE Transactions on Systems, Man, and Cybernetics, Part A 39(5): 1097-1107 (2009) |
| j85 | | Chris Seiffert, Taghi M. Khoshgoftaar, Jason Van Hulse: Improving Software-Quality Predictions With Data Sampling and Boosting. IEEE Transactions on Systems, Man, and Cybernetics, Part A 39(6): 1283-1294 (2009) |
| c125 | | Xiaoyuan Su, Taghi M. Khoshgoftaar, Russell Greiner: VipBoost: A More Accurate Boosting Algorithm. FLAIRS Conference 2009 |
| c124 | | Jason Van Hulse, Taghi M. Khoshgoftaar, Amri Napolitano, Randall Wald: Feature Selection with High-Dimensional Imbalanced Data. ICDM Workshops 2009: 507-514 |
| c123 | | Huanjing Wang, Taghi M. Khoshgoftaar, Kehan Gao, Naeem Seliya: Mining Data from Multiple Software Development Projects. ICDM Workshops 2009: 551-557 |
| c122 | | Taghi M. Khoshgoftaar, Kehan Gao: Feature Selection with Imbalanced Data for Software Defect Prediction. ICMLA 2009: 235-240 |
| c121 | | Wilker Altidor, Taghi M. Khoshgoftaar, Amri Napolitano: Wrapper-Based Feature Ranking for Software Engineering Metrics. ICMLA 2009: 241-246 |
| c120 | | Naeem Seliya, Taghi M. Khoshgoftaar, Jason Van Hulse: A Study on the Relationships of Classifier Performance Metrics. ICTAI 2009: 59-66 |
| c119 | | Kehan Gao, Taghi M. Khoshgoftaar, Amri Napolitano: Exploring Software Quality Classification with a Wrapper-Based Feature Ranking Technique. ICTAI 2009: 67-74 |
| c118 | | Wilker Altidor, Taghi M. Khoshgoftaar, Jason Van Hulse: An Empirical Study on Wrapper-Based Feature Ranking. ICTAI 2009: 75-82 |
| c117 | | Huanjing Wang, Taghi M. Khoshgoftaar, Kehan Gao, Naeem Seliya: High-Dimensional Software Engineering Data and Feature Selection. ICTAI 2009: 83-90 |
| c116 | | Jason Van Hulse, Taghi M. Khoshgoftaar, Amri Napolitano: An Empirical Comparison of Repetitive Undersampling Techniques. IRI 2009: 29-34 |
| c115 | | Naeem Seliya, Taghi M. Khoshgoftaar, Jason Van Hulse: Aggregating Performance Metrics for Classifier Evaluation. IRI 2009: 35-40 |
| c114 | | Kehan Gao, Taghi M. Khoshgoftaar, Huanjing Wang: An Empirical Investigation of Filter Attribute Selection Techniques for Software Quality Classification. IRI 2009: 272-277 |
| c113 | | Pengpeng Lin, Huanjing Wang, Taghi M. Khoshgoftaar: A Novel Hybrid Search Algorithm for Feature Selection. SEKE 2009: 81-86 |
| c112 | | |
| c111 | | John C. Sloan, Taghi M. Khoshgoftaar, Augusto Varas: An Extendible Translation of BPEL to a Machine-verifiable Model. SEKE 2009: 344-349 |
| r1 | | Kehan Gao, Taghi M. Khoshgoftaar: Count Models for Software Quality Estimation. Encyclopedia of Data Warehousing and Mining 2009: 346-352 |
| 2008 | ||
| j84 | | John C. Sloan, Taghi M. Khoshgoftaar, Venkat Raghav: Assuring Timeliness in an e-Science Service-Oriented Architecture. IEEE Computer 41(8): 56-62 (2008) |
| j83 | | Xiaoyuan Su, Taghi M. Khoshgoftaar: Collaborative Filtering for Multi-Class Data Using Bayesian Networks. International Journal on Artificial Intelligence Tools 17(1): 71-85 (2008) |
| j82 | | Taghi M. Khoshgoftaar, Naeem Seliya, Chris Seiffert: Low-Effort Labeling of Network Events for Intrusion Detection in WLANs. International Journal on Artificial Intelligence Tools 17(3): 521-537 (2008) |
| j81 | | Jason Van Hulse, Taghi M. Khoshgoftaar: A comprehensive empirical evaluation of missing value imputation in noisy software measurement data. Journal of Systems and Software 81(5): 691-708 (2008) |
| j80 | | Taghi M. Khoshgoftaar, Jason Van Hulse: Imputation techniques for multivariate missingness in software measurement data. Software Quality Journal 16(4): 563-600 (2008) |
| c110 | | Andres Folleco, Taghi M. Khoshgoftaar, Jason Van Hulse, Lofton A. Bullard: Software quality modeling: The impact of class noise on the random forest classifier. IEEE Congress on Evolutionary Computation 2008: 3853-3859 |
| c109 | | Chinar C. Shah, Xingquan Zhu, Taghi M. Khoshgoftaar, Justin Beyer: Contrast Pattern Mining with Gap Constraints for Peptide Folding Prediction. FLAIRS Conference 2008: 95-100 |
| c108 | | Chris Seiffert, Taghi M. Khoshgoftaar, Jason Van Hulse, Amri Napolitano: Building Useful Models from Imbalanced Data with Sampling and Boosting. FLAIRS Conference 2008: 306-311 |
| c107 | | Xiaoyuan Su, Taghi M. Khoshgoftaar, Russell Greiner: A Mixture Imputation-Boosted Collaborative Filter. FLAIRS Conference 2008: 312-316 |
| c106 | | Chris Seiffert, Taghi M. Khoshgoftaar, Jason Van Hulse, Amri Napolitano: A Comparative Study of Data Sampling and Cost Sensitive Learning. ICDM Workshops 2008: 46-52 |
| c105 | | Andres Folleco, Taghi M. Khoshgoftaar, Amri Napolitano: Comparison of Four Performance Metrics for Evaluating Sampling Techniques for Low Quality Class-Imbalanced Data. ICMLA 2008: 153-158 |
| c104 | | Chris Seiffert, Taghi M. Khoshgoftaar, Jason Van Hulse, Amri Napolitano: RUSBoost: Improving classification performance when training data is skewed. ICPR 2008: 1-4 |
| c103 | | Xiaoyuan Su, Taghi M. Khoshgoftaar, Xingquan Zhu: VoB predictors: Voting on bagging classifications. ICPR 2008: 1-4 |
| c102 | | Xiaoyuan Su, Taghi M. Khoshgoftaar, Russell Greiner: Using Imputation Techniques to Help Learn Accurate Classifiers. ICTAI (1) 2008: 437-444 |
| c101 | | Chris Seiffert, Taghi M. Khoshgoftaar, Jason Van Hulse, Amri Napolitano: Resampling or Reweighting: A Comparison of Boosting Implementations. ICTAI (1) 2008: 445-451 |
| c100 | | Chris Seiffert, Taghi M. Khoshgoftaar, Jason Van Hulse, Amri Napolitano: Improving Learner Performance with Data Sampling and Boosting. ICTAI (1) 2008: 452-459 |
| c99 | | Naeem Seliya, Zhiwei Xu, Taghi M. Khoshgoftaar: Addressing Class Imbalance in Non-binary Classification Problems. ICTAI (1) 2008: 460-466 |
| c98 | | Andres Folleco, Taghi M. Khoshgoftaar, Jason Van Hulse, Lofton A. Bullard: Identifying learners robust to low quality data. IRI 2008: 190-195 |
| c97 | | Chris Seiffert, Taghi M. Khoshgoftaar, Jason Van Hulse: Hybrid sampling for imbalanced data. IRI 2008: 202-207 |
| c96 | | Xiaoyuan Su, Taghi M. Khoshgoftaar, Xingquan Zhu: VCI predictors: Voting on classifications from imputed learning sets. IRI 2008: 296-301 |
| c95 | | Xiaoyuan Su, Taghi M. Khoshgoftaar, Xingquan Zhu, Russell Greiner: Imputation-boosted collaborative filtering using machine learning classifiers. SAC 2008: 949-950 |
| c94 | | Andres Folleco, Taghi M. Khoshgoftaar, Lofton A. Bullard: Analyzing the Impact of Attribute Noise on Software Quality Classification. SEKE 2008: 73-78 |
| c93 | | Taghi M. Khoshgoftaar, Naeem Seliya, Dennis J. Drown: On the Rarity of Fault-prone Modules in Knowledge-based Software Quality Modeling. SEKE 2008: 279-284 |
| c92 | | John C. Sloan, Taghi M. Khoshgoftaar: Toward Model Checking Web Services Over the Web. SEKE 2008: 519-524 |
| c91 | | Xiaoyuan Su, Taghi M. Khoshgoftaar, Russell Greiner: Imputed Neighborhood Based Collaborative Filtering. Web Intelligence 2008: 633-639 |
| p2 | | Taghi M. Khoshgoftaar, Naeem Seliya: Software Module Risk Analysis. Wiley Encyclopedia of Computer Science and Engineering 2008 |
| p1 | | Naeem Seliya, Taghi M. Khoshgoftaar: Software Quality Modeling as a Reliability Tool. Wiley Encyclopedia of Computer Science and Engineering 2008 |
| 2007 | ||
| j79 | | Taghi M. Khoshgoftaar, Jason Van Hulse, Chris Seiffert, Lili Zhao: The multiple imputation quantitative noise corrector. Intell. Data Anal. 11(3): 245-263 (2007) |
| j78 | | Taghi M. Khoshgoftaar, Pierre Rebours: Improving Software Quality Prediction by Noise Filtering Techniques. J. Comput. Sci. Technol. 22(3): 387-396 (2007) |
| j77 | | Xingquan Zhu, Taghi M. Khoshgoftaar, Ian Davidson, Shichao Zhang: Editorial: Special issue on mining low-quality data. Knowl. Inf. Syst. 11(2): 131-136 (2007) |
| j76 | | Jason Van Hulse, Taghi M. Khoshgoftaar, Haiying Huang: The pairwise attribute noise detection algorithm. Knowl. Inf. Syst. 11(2): 171-190 (2007) |
| j75 | | Naeem Seliya, Taghi M. Khoshgoftaar: Software quality estimation with limited fault data: a semi-supervised learning perspective. Software Quality Journal 15(3): 327-344 (2007) |
| j74 | | Taghi M. Khoshgoftaar, Kehan Gao: Count Models for Software Quality Estimation. IEEE Transactions on Reliability 56(2): 212-222 (2007) |
| j73 | | Kehan Gao, Taghi M. Khoshgoftaar: A Comprehensive Empirical Study of Count Models for Software Fault Prediction. IEEE Transactions on Reliability 56(2): 223-236 (2007) |
| j72 | | Taghi M. Khoshgoftaar, Yi Liu: A Multi-Objective Software Quality Classification Model Using Genetic Programming. IEEE Transactions on Reliability 56(2): 237-245 (2007) |
| j71 | | Naeem Seliya, Taghi M. Khoshgoftaar: Software Quality Analysis of Unlabeled Program Modules With Semisupervised Clustering. IEEE Transactions on Systems, Man, and Cybernetics, Part A 37(2): 201-211 (2007) |
| c90 | | Taghi M. Khoshgoftaar, Chris Seiffert, Naeem Seliya: Low-Effort Labeling of Network Events for Intrusion Detection in WLANs. FLAIRS Conference 2007: 490-495 |
| c89 | | Jason Van Hulse, Taghi M. Khoshgoftaar, Amri Napolitano: Skewed Class Distributions and Mislabeled Examples. ICDM Workshops 2007: 477-482 |
| c88 | | Xiaoyuan Su, Taghi M. Khoshgoftaar: Arbitrarily-Shaped Window Based Stereo Matching using the Go-Light Optimization Algorithm. ICIP (6) 2007: 556-559 |
| c87 | | Jason Van Hulse, Taghi M. Khoshgoftaar, Amri Napolitano: Experimental perspectives on learning from imbalanced data. ICML 2007: 935-942 |
| c86 | | Lofton A. Bullard, Taghi M. Khoshgoftaar, Kehan Gao: An application of a rule-based model in software quality classification. ICMLA 2007: 204-210 |
| c85 | | Taghi M. Khoshgoftaar, Chris Seiffert, Jason Van Hulse, Amri Napolitano, Andres Folleco: Learning with limited minority class data. ICMLA 2007: 348-353 |
| c84 | | Dennis J. Drown, Taghi M. Khoshgoftaar, Ramaswamy Narayanan: Using evolutionary sampling to mine imbalanced data. ICMLA 2007: 363-368 |
| c83 | | Chris Seiffert, Taghi M. Khoshgoftaar, Jason Van Hulse, Amri Napolitano: Mining Data with Rare Events: A Case Study. ICTAI (2) 2007: 132-139 |
| c82 | | Taghi M. Khoshgoftaar, Moiz Golawala, Jason Van Hulse: An Empirical Study of Learning from Imbalanced Data Using Random Forest. ICTAI (2) 2007: 310-317 |
| c81 | | Xingquan Zhu, Xindong Wu, Taghi M. Khoshgoftaar, Yong Shi: An Empirical Study of the Noise Impact on Cost-Sensitive Learning. IJCAI 2007: 1168-1174 |
| c80 | | Qiming Luo, Taghi M. Khoshgoftaar: An Empirical Study on Estimating Motions in Video Stabilization. IRI 2007: 360-366 |
| c79 | | Jason Van Hulse, Taghi M. Khoshgoftaar: Incomplete-Case Nearest Neighbor Imputation in Software Measurement Data. IRI 2007: 630-637 |
| c78 | | Yi Liu, Taghi M. Khoshgoftaar, Jenq-Foung Yao: Building a Novel GP-Based Software Quality Classifier Using Multiple Validation Datasets. IRI 2007: 644-650 |
| c77 | | 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. IRI 2007: 651-658 |
| c76 | | Xiaoyuan Su, Taghi M. Khoshgoftaar: A Progressive Edge-Based Stereo Correspondence Method. ISVC (1) 2007: 248-257 |
| c75 | | Xiaoyuan Su, Taghi M. Khoshgoftaar, Xingquan Zhu, Andres Folleco: Rule-Based Multiple Object Tracking for Traffic Surveillance Using Collaborative Background Extraction. ISVC (2) 2007: 469-478 |
| c74 | | Andres Folleco, Taghi M. Khoshgoftaar, Jason Van Hulse, Chris Seiffert: Learning from Software Quality Data with Class Imbalance and Noise. SEKE 2007: 487- |
| c73 | | Xiaoyuan Su, Russell Greiner, Taghi M. Khoshgoftaar, Xingquan Zhu: Hybrid Collaborative Filtering Algorithms Using a Mixture of Experts. Web Intelligence 2007: 645-649 |
| 2006 | ||
| j70 | | Pierre Rebours, Taghi M. Khoshgoftaar: Quality Problem in Software Measurement Data. Advances in Computers 66: 44-79 (2006) |
| j69 | | Taghi M. Khoshgoftaar, Jason Van Hulse: Determining noisy instances relative to attributes of interest. Intell. Data Anal. 10(3): 251-268 (2006) |
| j68 | | Jason Van Hulse, Taghi M. Khoshgoftaar: Class noise detection using frequent itemsets. Intell. Data Anal. 10(6): 487-507 (2006) |
| j67 | | |
| j66 | | Taghi M. Khoshgoftaar, Pierre Rebours: Noise elimination with partitioning filter for software quality estimation. IJCAT 27(4): 246-258 (2006) |
| j65 | | Taghi M. Khoshgoftaar, Vedang H. Joshi, Naeem Seliya: Detecting Noisy Instances with the Ensemble Filter: a Study in Software Quality Estimation. International Journal of Software Engineering and Knowledge Engineering 16(1): 53-76 (2006) |
| j64 | | Taghi M. Khoshgoftaar, Naeem Seliya, Nandini Sundaresh: An empirical study of predicting software faults with case-based reasoning. Software Quality Journal 14(2): 85-111 (2006) |
| j63 | | Taghi M. Khoshgoftaar, Angela Herzberg, Naeem Seliya: Resource oriented selection of rule-based classification models: An empirical case study. Software Quality Journal 14(4): 309-338 (2006) |
| j62 | | Qiming Luo, Taghi M. Khoshgoftaar: Unsupervised multiscale color image segmentation based on MDL principle. IEEE Transactions on Image Processing 15(9): 2755-2761 (2006) |
| c72 | | Jason Van Hulse, Taghi M. Khoshgoftaar, Chris Seiffert: A Comparison of Software Fault Imputation Procedures. ICMLA 2006: 135-142 |
| c71 | | Xiaoyuan Su, Taghi M. Khoshgoftaar: Collaborative Filtering for Multi-class Data Using Belief Nets Algorithms. ICTAI 2006: 497-504 |
| c70 | | Taghi M. Khoshgoftaar, Kehan Gao: Assessment of a Multi-Strategy Classifier for an Embedded Software System. ICTAI 2006: 651-658 |
| c69 | | Taghi M. Khoshgoftaar, Jason Van Hulse, Chris Seiffert: A Hybrid Approach to Cleansing Software Measurement Data. ICTAI 2006: 713-722 |
| c68 | | Taghi M. Khoshgoftaar, Chris Seiffert, Naeem Seliya: Labeling network event records for intrusion detection in a Wireless LAN. IRI 2006: 200-206 |
| c67 | | Yi Liu, Taghi M. Khoshgoftaar, Jenq-Foung Yao: Developing an effective validation strategy for genetic programming models based on multiple datasets. IRI 2006: 232-237 |
| c66 | | Qiming Luo, Taghi M. Khoshgoftaar, Andres Folleco: Classification of ships in surveillance video. IRI 2006: 432-437 |
| c65 | | Jason Van Hulse, Taghi M. Khoshgoftaar, Chris Seiffert, Lili Zhao: Noise correction using bayesian multiple imputation. IRI 2006: 478-483 |
| c64 | | Taghi M. Khoshgoftaar, Andres Folleco, Jason Van Hulse, Lofton A. Bullard: Software quality imputation in the presence of noisy data. IRI 2006: 484-489 |
| c63 | | Taghi M. Khoshgoftaar, Jason Van Hulse: Multiple Imputation of Software Measurement Data: A Case Study. SEKE 2006: 220-226 |
| c62 | | Taghi M. Khoshgoftaar, Chris Seiffert, Jason Van Hulse: Polishing Noise in Continuous Software Measurement Data. SEKE 2006: 227-231 |
| 2005 | ||
| j61 | | Taghi M. Khoshgoftaar, Naeem Seliya, Kehan Gao: Assessment of a New Three-Group Software Quality Classification Technique: An Empirical Case Study. Empirical Software Engineering 10(2): 183-218 (2005) |
| j60 | | Taghi M. Khoshgoftaar, Shi Zhong, Vedang H. Joshi: Enhancing software quality estimation using ensemble-classifier based noise filtering. Intell. Data Anal. 9(1): 3-27 (2005) |
| j59 | | Taghi M. Khoshgoftaar, Kehan Gao, Nawal H. Ibrahim: Evaluating indirect and direct classification techniques for network intrusion detection. Intell. Data Anal. 9(3): 309-326 (2005) |
| j58 | | Taghi M. Khoshgoftaar, Naeem Seliya, Kehan Gao: Detecting noisy instances with the rule-based classification model. Intell. Data Anal. 9(4): 347-364 (2005) |
| j57 | | Taghi M. Khoshgoftaar, Pierre Rebours: Evaluating noise elimination techniques for software quality estimation. Intell. Data Anal. 9(5): 487-508 (2005) |
| j56 | | Taghi M. Khoshgoftaar, Jason Van Hulse: Identifying noisy features with the Pairwise Attribute Noise Detection Algorithm. Intell. Data Anal. 9(6): 589-602 (2005) |
| j55 | | Taghi M. Khoshgoftaar, Kehan Gao, Robert M. Szabo: Comparing software fault predictions of pure and zero-inflated Poisson regression models. Int. J. Systems Science 36(11): 705-715 (2005) |
| j54 | | Taghi M. Khoshgoftaar, Naeem Seliya, Angela Herzberg: Resource-oriented software quality classification models. Journal of Systems and Software 76(2): 111-126 (2005) |
| c61 | | Naeem Seliya, Taghi M. Khoshgoftaar, Shi Zhong: Analyzing Software Quality with Limited Fault-Proneness Defect Data. HASE 2005: 89-98 |
| c60 | | |
| c59 | | Taghi M. Khoshgoftaar, Shyam Varan Nath, Shi Zhong, Naeem Seliya: Intrusion detection in wireless networks using clustering techniques with expert analysis. ICMLA 2005 |
| c58 | | Shi Zhong, Taghi M. Khoshgoftaar, Shyam Varan Nath: A Clustering Approach to Wireless Network Intrusion Detection. ICTAI 2005: 190-196 |
| c57 | | |
| c56 | | Yudong Xiao, Taghi M. Khoshgoftaar, Naeem Seliya: The partitioning- and rule-based filter for noise detection. IRI 2005: 205-210 |
| c55 | | Taghi M. Khoshgoftaar, Jason Van Hulse: Empirical case studies in attribute noise detection. IRI 2005: 211-216 |
| c54 | | Qiming Luo, Taghi M. Khoshgoftaar, Edgar An: Hierarchical indexing of ocean survey video by mean shift clustering and MDL principle. IRI 2005: 404-409 |
| e1 | | Du Zhang, Taghi M. Khoshgoftaar, Mei-Ling Shyu (Eds.): Proceedings of the 2005 IEEE International Conference on Information Reuse and Integration, IRI - 2005, August 15-17, 2005, Las Vegas Hilton, Las Vegas, NV, USA. IEEE Systems, Man, and Cybernetics Society 2005, isbn 0-7803-9093-8 |
| 2004 | ||
| j53 | | Taghi M. Khoshgoftaar, Naeem Seliya: Software quality estimation with case-based reasoning. Advances in Computers 62: 249-291 (2004) |
| j52 | | Taghi M. Khoshgoftaar, Naeem Seliya: Comparative Assessment of Software Quality Classification Techniques: An Empirical Case Study. Empirical Software Engineering 9(3): 229-257 (2004) |
| j51 | | Shi Zhong, Taghi M. Khoshgoftaar, Naeem Seliya: Analyzing Software Measurement Data with Clustering Techniques. IEEE Intelligent Systems 19(2): 20-27 (2004) |
| j50 | | Zhiwei Xu, Taghi M. Khoshgoftaar: Identification of fuzzy models of software cost estimation. Fuzzy Sets and Systems 145(1): 141-163 (2004) |
| j49 | | Taghi M. Khoshgoftaar, Yi Liu, Naeem Seliya: A multiobjective module-order model for software quality enhancement. IEEE Trans. Evolutionary Computation 8(6): 593-608 (2004) |
| c53 | | |
| c52 | | Shi Zhong, Taghi M. Khoshgoftaar, Naeem Seliya: Unsupervised Learning for Expert-Based Software Quality Estimation. HASE 2004: 149-155 |
| c51 | | Taghi M. Khoshgoftaar, Mohamed E. Abushadi: Resource-Sensitive Intrusion Detection Models for Network Traffic. HASE 2004: 249-258 |
| c50 | | Naeem Seliya, Taghi M. Khoshgoftaar, Shi Zhong: Semi-Supervised Learning for Software Quality Estimation. ICTAI 2004: 183-190 |
| c49 | | Qiming Luo, Taghi M. Khoshgoftaar: Efficient Image Segmentation by Mean Shift Clustering and MDL-Guided Region Merging. ICTAI 2004: 337-343 |
| c48 | | Wei Tang, Taghi M. Khoshgoftaar: Noise Identification with the k-Means Algorithm. ICTAI 2004: 373-378 |
| c47 | | Taghi M. Khoshgoftaar, Naeem Seliya, Kehan Gao: Rule-Based Noise Detection for Software Measurement Data. IRI 2004: 302-307 |
| c46 | | Taghi M. Khoshgoftaar, Pierre Rebours: Generating Multiple Noise Elimination Filters with the Ensemble-Partitioning Filter. IRI 2004: 369-375 |
| c45 | | Taghi M. Khoshgoftaar, Naeem Seliya: The Necessity of Assuring Quality in Software Measurement Data. IEEE METRICS 2004: 119-130 |
| c44 | | Taghi M. Khoshgoftaar, Yi Liu, Naeem Seliya: Module-Order Modeling using an Evolutionary Multi-Objective Optimization Approach. IEEE METRICS 2004: 159-169 |
| c43 | | Taghi M. Khoshgoftaar, Yudong Xiao, Kehan Gao: Multi-Objective Optimization by CBR GA-Optimizer for Module-Order Modeling. SEKE 2004: 220-225 |
| c42 | | Taghi M. Khoshgoftaar, Vedang H. Joshi: Noise Elimination with Ensemble-Classifier Filtering: A Case-Study in Software Quality Engineerin. SEKE 2004: 226-231 |
| 2003 | ||
| j48 | | Taghi M. Khoshgoftaar, Naeem Seliya: Fault Prediction Modeling for Software Quality Estimation: Comparing Commonly Used Techniques. Empirical Software Engineering 8(3): 255-283 (2003) |
| j47 | | Taghi M. Khoshgoftaar, Naeem Seliya: Analogy-Based Practical Classification Rules for Software Quality Estimation. Empirical Software Engineering 8(4): 325-350 (2003) |
| j46 | | Taghi M. Khoshgoftaar, Naeem Seliya: Software Quality Classification Modeling Using the SPRINT Decision Tree Algorithm. International Journal on Artificial Intelligence Tools 12(3): 207-225 (2003) |
| j45 | | Zhiwei Xu, Taghi M. Khoshgoftaar, Edward B. Allen: Application of fuzzy expert systems in assessing operational risk of software. Information & Software Technology 45(7): 373-388 (2003) |
| j44 | | Taghi M. Khoshgoftaar, Edward B. Allen: Ordering Fault-Prone Software Modules. Software Quality Journal 11(1): 19-37 (2003) |
| j43 | | Taghi M. Khoshgoftaar: Introduction to the Special Issue on Quality Engineering with Computational Intelligence. Software Quality Journal 11(2): 85-86 (2003) |
| c41 | | Yi Liu, Taghi M. Khoshgoftaar: Building Decision Tree Software Quality Classification Models Using Genetic Programming. GECCO 2003: 1808-1809 |
| c40 | | Taghi M. Khoshgoftaar, Lofton A. Bullard, Kehan Gao: Detecting Outliers Using Rule-Based Modeling for Improving CBR-Based Software Quality Classification Models. ICCBR 2003: 216-230 |
| c39 | | Taghi M. Khoshgoftaar, Laurent A. Nguyen, Kehan Gao, Jayanth Rajeevalochanam: Application of an Attribute Selection Method to CBR-Based Software Quality Classification. ICTAI 2003: 47-52 |
| c38 | | Taghi M. Khoshgoftaar, Yi Liu, Naeem Seliya: Genetic Programming-Based Decision Trees for Software Quality Classification. ICTAI 2003: 374-383 |
| c37 | | Taghi M. Khoshgoftaar, Erik Geleyn, Laurent A. Nguyen: Empirical Case Studies of Combining Software Quality Classification Models. QSIC 2003: 40- |
| 2002 | ||
| j42 | | Taghi M. Khoshgoftaar, Xiaojing Yuan, Edward B. Allen, Wendell D. Jones, John P. Hudepohl: Uncertain Classification of Fault-Prone Software Modules. Empirical Software Engineering 7(4): 295-295 (2002) |
| j41 | | Taghi M. Khoshgoftaar, Bojan Cukic, Naeem Seliya: Predicting Fault-Prone Modules in Embedded Systems Using Analogy-Based Classification Models. International Journal of Software Engineering and Knowledge Engineering 12(2): 201-221 (2002) |
| j40 | | Taghi M. Khoshgoftaar, Edward B. Allen, Jianyu Deng: Using regression trees to classify fault-prone software modules. IEEE Transactions on Reliability 51(4): 455-462 (2002) |
| c36 | | Taghi M. Khoshgoftaar, Erik Geleyn, Laurent A. Nguyen, Lofton A. Bullard: Cost-Sensitive Boosting In Software Quality Modeling. HASE 2002: 51-62 |
| c35 | | Taghi M. Khoshgoftaar, Naeem Seliya: Software Quality Classification Modeling Using The SPRINT Decision Tree Algorithm. ICTAI 2002: 365-374 |
| c34 | | Taghi M. Khoshgoftaar: Improving Usefulness of Software Quality Classification Models Based on Boolean Discriminant Functions. ISSRE 2002: 221-230 |
| c33 | | Ali Idri, Alain Abran, Taghi M. Khoshgoftaar: Estimating Software Project Effort by Analogy Based on Linguistic Values. IEEE METRICS 2002: 21- |
| c32 | | Taghi M. Khoshgoftaar, Erik Geleyn, Kehan Gao: An Empirical Study of the Impact of Count Models Predictions on Module-Order Models. IEEE METRICS 2002: 161-172 |
| c31 | | Taghi M. Khoshgoftaar, Naeem Seliya: Tree-Based Software Quality Estimation Models For Fault Prediction. IEEE METRICS 2002: 203- |
| 2001 | ||
| j39 | | Zhiwei Xu, Taghi M. Khoshgoftaar: Software Quality Prediction for High-Assurance Network Telecommunications Systems. Comput. J. 44(6): 557-568 (2001) |
| j38 | | Taghi M. Khoshgoftaar, Edward B. Allen: Controlling Overfitting in Classification-Tree Models of Software Quality. Empirical Software Engineering 6(1): 59-79 (2001) |
| j37 | | Taghi M. Khoshgoftaar, Edward B. Allen, Wendell D. Jones, John P. Hudepohl: Cost-Benefit Analysis of Software Quality Models. Software Quality Journal 9(1): 9-30 (2001) |
| j36 | | Taghi M. Khoshgoftaar, Edward B. Allen: Empirical Assessment of a Software Metric: The Information Content of Operators. Software Quality Journal 9(2): 99-112 (2001) |
| j35 | | Taghi M. Khoshgoftaar, Edward B. Allen, Wendell D. Jones, John P. Hudepohl: Data Mining of Software Development Databases. Software Quality Journal 9(3): 161-176 (2001) |
| c30 | | |
| c29 | | Taghi M. Khoshgoftaar, Kehan Gao, Robert M. Szabo: An Application of Zero-Inflated Poisson Regression for Software Fault Prediction . ISSRE 2001: 66-73 |
| c28 | | Edward B. Allen, Taghi M. Khoshgoftaar, Ye Chen: Measuring Coupling and Cohesion of Software Modules: An Information-Theory Approach. IEEE METRICS 2001: 124-134 |
| c27 | | Taghi M. Khoshgoftaar, Edward B. Allen, Jianyu Deng: Controlling Overfitting in Software Quality Models: Experiments with Regression Trees and Classification. IEEE METRICS 2001: 190-198 |
| 2000 | ||
| j34 | | Taghi M. Khoshgoftaar, Edward B. Allen, Wendell D. Jones, John P. Hudepohl: Accuracy of software quality models over multiple releases. Ann. Software Eng. 9: 103-116 (2000) |
| j33 | | Taghi M. Khoshgoftaar, Xiaojing Yuan, Edward B. Allen: Balancing Misclassification Rates in Classification-Tree Models of Software Quality. Empirical Software Engineering 5(4): 313-330 (2000) |
| j32 | | K. Ganesan, Taghi M. Khoshgoftaar, Edward B. Allen: Verifying Requirements Through Mathematical Modelling and Animation. International Journal of Software Engineering and Knowledge Engineering 10(2): 139-152 (2000) |
| c26 | | Taghi M. Khoshgoftaar, Edward B. Allen, Jason C. Busboom: Modeling software quality: the Software Measurement Analysis and Reliability Toolkit. ICTAI 2000: 54-61 |
| c25 | | Taghi M. Khoshgoftaar, Ruqun Shan, Edward B. Allen: Improving Tree-Based Models of Software Quality with Principal Components Analysis. ISSRE 2000: 198-209 |
| c24 | | Taghi M. Khoshgoftaar, Vishal Thaker, Edward B. Allen: Modeling Fault-Prone Modules of Subsystems. ISSRE 2000: 259-269 |
| 1999 | ||
| j31 | | Taghi M. Khoshgoftaar, Edward B. Allen: A Comparative Study of Ordering and Classification of Fault-Prone Software Modules. Empirical Software Engineering 4(2): 159-186 (1999) |
| j30 | | Taghi M. Khoshgoftaar, Edward B. Allen, Archana Naik, Wendell D. Jones, John P. Hudepohl: Using Classification Trees for Software Quality Models: Lessons Learned. International Journal of Software Engineering and Knowledge Engineering 9(2): 217-231 (1999) |
| j29 | | Taghi M. Khoshgoftaar, Edward B. Allen, Wendell D. Jones, John P. Hudepohl: Data Mining for Predictors of Software Quality. International Journal of Software Engineering and Knowledge Engineering 9(5): 547-563 (1999) |
| j28 | | Taghi M. Khoshgoftaar, Edward B. Allen, Wendell D. Jones, John P. Hudepohl: Which Software Modules have Faults which will be Discovered by Customers? Journal of Software Maintenance 11(1): 1-18 (1999) |
| c23 | | Wendell D. Jones, John P. Hudepohl, Taghi M. Khoshgoftaar, Edward B. Allen: Application of a Usage Profile in Software Quality Models. CSMR 1999: 148-159 |
| c22 | | Matthew P. Evett, Taghi M. Khoshgoftaar, Pei-der Chien, Edward B. Allen: Using Genetic Programming to Determine Software Quality. FLAIRS Conference 1999: 113-117 |
| c21 | | Matthew P. Evett, Taghi M. Khoshgoftaar, Pei-der Chien, Edward B. Allen: Modelling software quality with GP. GECCO 1999: 1232 |
| c20 | | Taghi M. Khoshgoftaar, Edward B. Allen: Predicting Fault-Prone Software Modules in Embedded Systems with Classification Trees. HASE 1999: 105- |
| c19 | | Taghi M. Khoshgoftaar, Edward B. Allen, Xiaojing Yuan, Wendell D. Jones, John P. Hudepohl: Experience Paper: Preparing Measurements of Legacy Software for Predicting Operational Faults. ICSM 1999: 359- |
| c18 | | Edward B. Allen, Taghi M. Khoshgoftaar: Measuring Coupling and Cohesion: An Information-Theory Approach. IEEE METRICS 1999: 119- |
| c17 | | Taghi M. Khoshgoftaar, Edward B. Allen, Xiaojing Yuan, Wendell D. Jones, John P. Hudepohl: Assessing Uncertain Predictions of Software Quality. IEEE METRICS 1999: 159- |
| c16 | | Norman F. Schneidewind, Wendell D. Jones, Taghi M. Khoshgoftaar, Paul W. Oman, George E. Stark: Can Metrics and Models be Applied Across Multiple Releases or Projects? IEEE METRICS 1999: 324- |
| 1998 | ||
| j27 | | Taghi M. Khoshgoftaar, Edward B. Allen, Robert Halstead, Gary P. Trio, Ronald M. Flass: Using Process History to Predict Software Quality. IEEE Computer 31(4): 66-72 (1998) |
| j26 | | Taghi M. Khoshgoftaar, Edward B. Allen: Classification of Fault-Prone Software Modules: Prior Probabilities, Costs, and Model Evaluation. Empirical Software Engineering 3(3): 275-298 (1998) |
| c15 | | Taghi M. Khoshgoftaar, Edward B. Allen, Archana Naik, Wendell D. Jones, John P. Hudepohl: Using Classification Trees for Software Quality Models: Lessons Learned. HASE 1998: 82-89 |
| c14 | | Donald F. Schenker, Taghi M. Khoshgoftaar: The Application of Fuzzy Enhanced Case-Based Reasoning for Identifying Fault-Prone Modules. HASE 1998: 90-97 |
| c13 | | Wendell D. Jones, Taghi M. Khoshgoftaar, John C. Munson, T. Troy Pearse, George E. Stark: Hitting the Moving Target: Trials and Tribulations of Modeling Quality in Evolving Software Systems. ICSM 1998: 66-67 |
| c12 | | Taghi M. Khoshgoftaar, Edward B. Allen: Can a Software Quality Model Hit a Moving Target? ICSM 1998: 68-70 |
| 1997 | ||
| j25 | | Taghi M. Khoshgoftaar, Edward B. Allen, David L. Lanning: An Information Theory-Based Approach to Quantifying the Contribution of a Software Metric. Journal of Systems and Software 36(2): 103-113 (1997) |
| j24 | | Taghi M. Khoshgoftaar, Edward B. Allen, John P. Hudepohl, Stephen J. Aud: Application of neural networks to software quality modeling of a very large telecommunications system. IEEE Trans. Neural Netw. Learning Syst. 8(4): 902-909 (1997) |
| c11 | | Taghi M. Khoshgoftaar, Edward B. Allen, Robert Halstead, Gary P. Trio, Ronald M. Flass: Process Measures for Predicting Software Quality. HASE 1997: 155- |
| c10 | | Taghi M. Khoshgoftaar, Edward B. Allen: The Impact of Costs of Misclassification on Software Quality Modeling. IEEE METRICS 1997: 54- |
| 1996 | ||
| j23 | | Taghi M. Khoshgoftaar, Edward B. Allen, Kalai Kalaichelvan, Nishith Goel: The impact of software evolution and reuse on software quality. Empirical Software Engineering 1(1): 31-44 (1996) |
| j22 | | Taghi M. Khoshgoftaar, Edward B. Allen, Kalai Kalaichelvan, Nishith Goel: Early Quality Prediction: A Case Study in Telecommunications. IEEE Software 13(1): 65-71 (1996) |
| j21 | | John P. Hudepohl, Stephen J. Aud, Taghi M. Khoshgoftaar, Edward B. Allen, Jean Mayrand: Emerald: Software Metrics and Models on the Desktop. IEEE Software 13(5): 56-60 (1996) |
| j20 | | Taghi M. Khoshgoftaar, David L. Lanning: Analysis and differentiation of software system environments. Software Quality Journal 5(2): 127-139 (1996) |
| c9 | | Taghi M. Khoshgoftaar, Edward B. Allen, Lofton A. Bullard, Robert Halstead, Gary P. Trio: A tree-based classification model for analysis of a military software system. HASE 1996: 244- |
| c8 | | Taghi M. Khoshgoftaar, Edward B. Allen, Robert Halstead, Gary P. Trio: Detection of Fault-Prone Software Modules During a Spiral Life Cycle. ICSM 1996: 69-76 |
| 1995 | ||
| j19 | | Taghi M. Khoshgoftaar, Abhijit S. Pandya, David L. Lanning: Application of Neural Networks for Predicting Program Faults. Ann. Software Eng. 1: 141-154 (1995) |
| j18 | | Taghi M. Khoshgoftaar, David L. Lanning: A neural network approach for early detection of program modules having high risk in the maintenance phase. Journal of Systems and Software 29(1): 85-91 (1995) |
| j17 | | Khoa D. Huynh, Taghi M. Khoshgoftaar: A Performance Analysis of an Object-Based I/O Architecture in a Video Server Environment. Multimedia Syst. 3(4): 162-177 (1995) |
| j16 | | Khoa D. Huynh, Taghi M. Khoshgoftaar: Performance Analysis of a Peer-to-Peer I/O Architecture in Video Server Environments. Multimedia Tools Appl. 1(3): 217-244 (1995) |
| j15 | | Taghi M. Khoshgoftaar, Robert M. Szabo: Investigating ARIMA models of software system quality. Software Quality Journal 4(1): 33-48 (1995) |
| c7 | | Taghi M. Khoshgoftaar, Edward B. Allen: Multivariate assessment of complex software systems: a comparative study. ICECCS 1995: 389-396 |
| c6 | | Taghi M. Khoshgoftaar, Robert M. Szabo, Jeffrey M. Voas: Detecting program modules with low testability. ICSM 1995: 242-250 |
| 1994 | ||
| j14 | | Taghi M. Khoshgoftaar, Paul W. Oman: Software Metrics: Charting the Course - Guest Editors' Introduction. IEEE Computer 27(9): 13-15 (1994) |
| j13 | | David L. Lanning, Taghi M. Khoshgoftaar: Modeling the Relationship Between Source Code Complexity and Maintenance Difficulty. IEEE Computer 27(9): 35-40 (1994) |
| j12 | | Khoa D. Huynh, Taghi M. Khoshgoftaar: A performance analysis of advanced I/O architectures for PC-based network file servers. Distributed Systems Engineering 1(6): 332- (1994) |
| j11 | | Taghi M. Khoshgoftaar, John C. Munson, David L. Lanning: Alternative approaches for the use of metrics to order programs by complexity. Journal of Systems and Software 24(3): 211-221 (1994) |
| j10 | | Khoa D. Huynh, Taghi M. Khoshgoftaar: Performance Analysis of Advanced I/O Architectures for PC-Based Video Servers. Multimedia Syst. 2(1): 36-50 (1994) |
| j9 | | Khoa D. Huynh, Taghi M. Khoshgoftaar: A Performance Analysis of Personal Computers in a Video Conferencing Environment. Multimedia Syst. 2(3): 103-117 (1994) |
| c5 | | Taghi M. Khoshgoftaar, Robert M. Szabo: Improving Code Churn Predictions During the System Test and Maintenance Phases. ICSM 1994: 58-67 |
| c4 | | David L. Lanning, Taghi M. Khoshgoftaar: Canonical Modeling of Software Complexity and Fault Correction Activity. ICSM 1994: 374-381 |
| 1993 | ||
| j8 | | Khoa D. Huynh, Taghi M. Khoshgoftaar, Gerald Marazas: A high-level performance analysis of the IBM subsystem control block (SCB) architecture. Microprocessing and Microprogramming 36(3): 109-125 (1993) |
| j7 | | John C. Munson, Taghi M. Khoshgoftaar: Measurement of data structure complexity. Journal of Systems and Software 20(3): 217-225 (1993) |
| c3 | | Taghi M. Khoshgoftaar, John C. Munson, David L. Lanning: A Comparative Study of Predictive Models for Program Changes During System Testing and Maintenance. ICSM 1993: 72-79 |
| c2 | | Khoa D. Huynh, Taghi M. Khoshgoftaar: A Performance Analysis of the IBM Subsystem Control Block Architecture in a Video Conferencing Environment. ACM Multimedia 1993: 321-330 |
| 1992 | ||
| j6 | | Khoa D. Huynh, Eduardo B. Fernández, Taghi M. Khoshgoftaar: A workload model for frame-based real-time applications on distributed systems. Journal of Systems and Software 18(3): 255-271 (1992) |
| j5 | | John C. Munson, Taghi M. Khoshgoftaar: Measuring Dynamic Program Complexity. IEEE Software 9(6): 48-55 (1992) |
| j4 | | John C. Munson, Taghi M. Khoshgoftaar: The Detection of Fault-Prone Programs. IEEE Trans. Software Eng. 18(5): 423-433 (1992) |
| j3 | | Taghi M. Khoshgoftaar, John C. Munson, Bibhuti B. Bhattacharya, Gary D. Richardson: Predictive Modeling Techniques of Software Quality from Software Measures. IEEE Trans. Software Eng. 18(11): 979-987 (1992) |
| 1990 | ||
| j2 | | Taghi M. Khoshgoftaar, John C. Munson: Predicting Software Development Errors Using Software Complexity Metrics. IEEE Journal on Selected Areas in Communications 8(2): 253-261 (1990) |
| j1 | | John C. Munson, Taghi M. Khoshgoftaar: Applications of a relative complexity metric for software project management. Journal of Systems and Software 12(3): 283-291 (1990) |
| 1989 | ||
| c1 | | |
Colors in the list of coauthors
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