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Jason Van Hulse, Ph.D. - Publications

Affiliations: 
2007 Florida Atlantic University, Boca Raton, FL, United States 
Area:
Computer Science, Statistics
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59 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2014 Seiffert C, Khoshgoftaar TM, Van Hulse J, Folleco A. An empirical study of the classification performance of learners on imbalanced and noisy software quality data Information Sciences. 259: 571-595. DOI: 10.1016/J.Ins.2010.12.016  0.592
2012 Shanab AA, Khoshgoftaar TM, Wald R, Van Hulse J. Evaluation of the importance of data pre-processing order when combining feature selection and data sampling International Journal of Business Intelligence and Data Mining. 7: 116-134. DOI: 10.1504/Ijbidm.2012.048730  0.793
2012 Van Hulse J, Khoshgoftaar TM, Napolitano A, Wald R. Threshold-based feature selection techniques for high-dimensional bioinformatics data Network Modeling Analysis in Health Informatics and Bioinformatics. 1: 47-61. DOI: 10.1007/S13721-012-0006-6  0.79
2011 Van Hulse J, Khoshgoftaar TM, Napolitano A. An exploration of learning when data is noisy and imbalanced Intelligent Data Analysis. 15: 215-236. DOI: 10.3233/IDA-2010-0464  0.671
2011 Van Hulse J, Khoshgoftaar TM, Napolitano A. Evaluating the impact of data quality on sampling Journal of Information and Knowledge Management. 10: 225-245. DOI: 10.1142/S021964921100295X  0.713
2011 Wang H, Khoshgoftaar TM, Van Hulse J, Gao K. Metric selection for software defect prediction International Journal of Software Engineering and Knowledge Engineering. 21: 237-257. DOI: 10.1142/S0218194011005256  0.66
2011 Khoshgoftaar TM, Van Hulse J, Napolitano A. Comparing boosting and bagging techniques with noisy and imbalanced data Ieee Transactions On Systems, Man, and Cybernetics Part a:Systems and Humans. 41: 552-568. DOI: 10.1109/TSMCA.2010.2084081  0.736
2011 Van Hulse J, Khoshgoftaar TM, Napolitano A. A comparative evaluation of feature ranking methods for high dimensional bioinformatics data Proceedings of the 2011 Ieee International Conference On Information Reuse and Integration, Iri 2011. 315-320. DOI: 10.1109/IRI.2011.6009566  0.728
2011 Shanab AA, Khoshgoftaar TM, Wald R, Van Hulse J. Comparison of approaches to alleviate problems with high-dimensional and class-imbalanced data Proceedings of the 2011 Ieee International Conference On Information Reuse and Integration, Iri 2011. 234-239. DOI: 10.1109/IRI.2011.6009552  0.622
2011 Altidor W, Khoshgoftaar TM, Van Hulse J. Robustness of filter-based feature ranking: A case study Proceedings of the 24th International Florida Artificial Intelligence Research Society, Flairs - 24. 453-458.  0.768
2010 Khoshgoftaar TM, Van Hulse J, Napolitano A. Supervised neural network modeling: an empirical investigation into learning from imbalanced data with labeling errors. Ieee Transactions On Neural Networks / a Publication of the Ieee Neural Networks Council. 21: 813-30. PMID 20236881 DOI: 10.1109/Tnn.2010.2042730  0.656
2010 Van Hulse J, Khoshgoftaar TM, Napolitano A. An empirical evaluation of repetitive undersampling techniques International Journal of Software Engineering and Knowledge Engineering. 20: 173-195. DOI: 10.1142/S0218194010004682  0.668
2010 Seiffert C, Khoshgoftaar TM, Van Hulse J, Napolitano A. RUSBoost: A hybrid approach to alleviating class imbalance Ieee Transactions On Systems, Man, and Cybernetics Part a:Systems and Humans. 40: 185-197. DOI: 10.1109/TSMCA.2009.2029559  0.714
2010 Khoshgoftaar TM, Gao K, Van Hulse J. A novel feature selection technique for highly imbalanced data 2010 Ieee International Conference On Information Reuse and Integration, Iri 2010. 80-85. DOI: 10.1109/IRI.2010.5558961  0.65
2010 Van Hulse J, Khoshgoftaar TM, Napolitano A. A novel noise filtering algorithm for imbalanced data Proceedings - 9th International Conference On Machine Learning and Applications, Icmla 2010. 9-14. DOI: 10.1109/ICMLA.2010.9  0.684
2010 Dittman DJ, Khoshgoftaar TM, Wald R, Van Hulse J. Comparative analysis of DNA microarray data through the use of feature selection techniques Proceedings - 9th International Conference On Machine Learning and Applications, Icmla 2010. 147-152. DOI: 10.1109/ICMLA.2010.29  0.478
2010 Seliya N, Khoshgoftaar TM, Van Hulse J. Predicting faults in high assurance software Proceedings of Ieee International Symposium On High Assurance Systems Engineering. 26-34. DOI: 10.1109/HASE.2010.29  0.714
2010 Wang H, Khoshgoftaar TM, Van Hulse J. A comparative study of threshold-based feature selection techniques Proceedings - 2010 Ieee International Conference On Granular Computing, Grc 2010. 499-504. DOI: 10.1109/GrC.2010.104  0.642
2010 Gao K, Khoshgoftaar T, Van Hulse J. An evaluation of sampling on filter-based feature selection methods Proceedings of the 23rd International Florida Artificial Intelligence Research Society Conference, Flairs-23. 416-421.  0.432
2009 Seiffert C, Khoshgoftaar TM, Van Hulse J. Hybrid sampling for imbalanced data Integrated Computer-Aided Engineering. 16: 193-210. DOI: 10.3233/ICA-2009-0314  0.586
2009 Seiffert C, Khoshgoftaar TM, Van Hulse J. Improving software-quality predictions with data sampling and boosting Ieee Transactions On Systems, Man, and Cybernetics Part a:Systems and Humans. 39: 1283-1294. DOI: 10.1109/TSMCA.2009.2027131  0.569
2009 Van Hulse J, Khoshgoftaar TM, Napolitano A. An empirical comparison of repetitive undersampling techniques 2009 Ieee International Conference On Information Reuse and Integration, Iri 2009. 29-34. DOI: 10.1109/IRI.2009.5211614  0.704
2009 Seliya N, Khoshgoftaar TM, Van Hulse J. Aggregating performance metrics for classifier evaluation 2009 Ieee International Conference On Information Reuse and Integration, Iri 2009. 35-40. DOI: 10.1109/IRI.2009.5211611  0.727
2009 Altidor W, Khoshgoftaar TM, Van Hulse J. An empirical study on wrapper-based feature ranking Proceedings - International Conference On Tools With Artificial Intelligence, Ictai. 75-82. DOI: 10.1109/ICTAI.2009.29  0.782
2009 Seliya N, Khoshgoftaar TM, Van Hulse J. A study on the relationships of classifier performance metrics Proceedings - International Conference On Tools With Artificial Intelligence, Ictai. 59-66. DOI: 10.1109/ICTAI.2009.25  0.743
2009 Van Hulse J, Khoshgoftaar TM, Napolitano A, Wald R. Feature selection with high-dimensional imbalanced data Icdm Workshops 2009 - Ieee International Conference On Data Mining. 507-514. DOI: 10.1109/ICDMW.2009.35  0.698
2009 Van Hulse J, Khoshgoftaar T. Knowledge discovery from imbalanced and noisy data Data and Knowledge Engineering. 68: 1513-1542. DOI: 10.1016/j.datak.2009.08.005  0.602
2008 Folleco A, Khoshgoftaar TM, Van Hulse J, Bullard L. Identifying learners robust to low quality data 2008 Ieee International Conference On Information Reuse and Integration, Ieee Iri-2008. 190-195. DOI: 10.1109/IRI.2008.4583028  0.567
2008 Seiffert C, Khoshgoftaar TM, Van Hulse J, Napolitano A. Resampling or reweighting: A comparison of boosting implementations Proceedings - International Conference On Tools With Artificial Intelligence, Ictai. 1: 445-451. DOI: 10.1109/ICTAI.2008.59  0.655
2008 Seiffert C, Khoshgoftaar TM, Van Hulse J, Napolitano A. A comparative study of data sampling and cost sensitive learning Proceedings - Ieee International Conference On Data Mining Workshops, Icdm Workshops 2008. 46-52. DOI: 10.1109/ICDMW.2008.119  0.661
2008 Folleco A, Khoshgoftaar TM, Van Hulse J, Bullard L. Software quality modeling: The impact of class noise on the random forest classifier 2008 Ieee Congress On Evolutionary Computation, Cec 2008. 3853-3859. DOI: 10.1109/CEC.2008.4631321  0.557
2008 Van Hulse J, Khoshgoftaar TM. A comprehensive empirical evaluation of missing value imputation in noisy software measurement data Journal of Systems and Software. 81: 691-708. DOI: 10.1016/J.Jss.2007.07.043  0.565
2008 Khoshgoftaar TM, Van Hulse J. Imputation techniques for multivariate missingness in software measurement data Software Quality Journal. 16: 563-600. DOI: 10.1007/s11219-008-9054-7  0.559
2008 Folleco A, Khoshgoftaar TM, Van Hulse J. Software fault imputation in noisy and incomplete measurement data Springer Series in Reliability Engineering. 18: 255-274. DOI: 10.1007/978-1-84800-113-8_12  0.436
2008 Seiffert C, Khoshgoftaar TM, Van Hulse J, Napolitano A. Building useful models from imbalanced data with sampling and boosting Proceedings of the 21th International Florida Artificial Intelligence Research Society Conference, Flairs-21. 306-311.  0.415
2008 Seiffert C, Khoshgoftaar TM, Van Hulse J, Napolitano A. RUSBoost: Improving classification performance when training data is skewed Proceedings - International Conference On Pattern Recognition.  0.588
2007 Khoshgoftaar TM, Van Hulse J, Seiffert C, Zhao L. The multiple imputation quantitative noise corrector Intelligent Data Analysis. 11: 245-263. DOI: 10.3233/ida-2007-11303  0.456
2007 Van Hulse J, Khoshgoftaar TM, Napolitano A. Experimental perspectives on learning from imbalanced data Acm International Conference Proceeding Series. 227: 935-942. DOI: 10.1145/1273496.1273614  0.671
2007 Seiffert C, Khoshgoftaar TM, Van Hulse J, Napolitano A. Mining data with rare events: A case study Proceedings - International Conference On Tools With Artificial Intelligence, Ictai. 2: 132-139. DOI: 10.1109/ICTAI.2007.71  0.675
2007 Khoshgoftaar TM, Golawala M, Van Hulse J. An empirical study of learning from imbalanced data using random forest Proceedings - International Conference On Tools With Artificial Intelligence, Ictai. 2: 310-317. DOI: 10.1109/ICTAI.2007.46  0.535
2007 Khoshgoftaar TM, Seiffert C, Van Hulse J, Napolitano A, Folleco A. Learning with limited minority class data Proceedings - 6th International Conference On Machine Learning and Applications, Icmla 2007. 348-353. DOI: 10.1109/ICMLA.2007.64  0.672
2007 Van Hulse J, Khoshgoftaar TM, Napolitano A. Skewed class distributions and mislabeled examples Proceedings - Ieee International Conference On Data Mining, Icdm. 477-482. DOI: 10.1109/ICDMW.2007.34  0.676
2007 Van Hulse J, Khoshgoftaar TM. Incomplete-case nearest neighbor imputation in software measurement data 2007 Ieee International Conference On Information Reuse and Integration, Ieee Iri-2007. 630-637. DOI: 10.1016/J.Ins.2010.12.017  0.497
2007 Folleco A, Khoshgoftaar TM, Van Hulse J. Software quality classification with imbalanced and noisy data Proceedings - 13th Issat International Conference On Reliability and Quality in Design. 191-195.  0.521
2007 Van Hulse J, Khoshgoftaar TM, Napolitano A. Software reliability modeling using skewed measurement data Proceedings - 13th Issat International Conference On Reliability and Quality in Design. 181-185.  0.671
2007 Folleco A, Khoshgoftaar TM, Van Hulse J, Seiffert C. Learning from software quality data with class imbalance and noise 19th International Conference On Software Engineering and Knowledge Engineering, Seke 2007. 487-493.  0.376
2006 Khoshgoftaar TM, Folleco A, Van Hulse J, Bullard L. Software quality imputation in the presence of noisy data Proceedings of the 2006 Ieee International Conference On Information Reuse and Integration, Iri-2006. 484-489. DOI: 10.1109/IRI.2006.252462  0.565
2006 Van Hulse J, Khoshgoftaar TM, Seiffert C, Zhao L. Noise correction using Bayesian multiple imputation Proceedings of the 2006 Ieee International Conference On Information Reuse and Integration, Iri-2006. 478-483. DOI: 10.1109/IRI.2006.252461  0.513
2006 Khoshgoftaar TM, Van Hulse J, Seiffert C. A hybrid approach to cleansing software measurement data Proceedings - International Conference On Tools With Artificial Intelligence, Ictai. 713-722. DOI: 10.1109/ICTAI.2006.11  0.537
2006 Van Hulse J, Khoshgoftaar TM, Seiffert C. A comparison of software fault imputation procedures Proceedings - 5th International Conference On Machine Learning and Applications, Icmla 2006. 135-142. DOI: 10.1109/ICMLA.2006.5  0.532
2006 Folleco A, Khoshgoftaar T, Van Hulse J, Bullard L. Software fault imputation accuracy in noisy and incomplete measurement data 2006 Proceedings - 12th Issat International Conference On Reliability and Quality in Design. 144-148.  0.362
2006 Khoshgoftaar TM, Seiffert C, Van Hulse J. Polishing noise in continuous software measurement data 18th International Conference On Software Engineering and Knowledge Engineering, Seke 2006. 227-231.  0.57
2006 Van Hulse J, Khoshgoftaar TM. Class noise detection using frequent itemsets Intelligent Data Analysis. 10: 487-507.  0.622
2006 Khoshgoftaar TM, Van Hulse J, Seiffert C, Zhao L. Detecting mislabeled instances in software measurement data 2006 Proceedings - 12th Issat International Conference On Reliability and Quality in Design. 149-153.  0.374
2006 Khoshgoftaar TM, Van Hulse J. Determining noisy instances relative to attributes of interest Intelligent Data Analysis. 10: 251-268.  0.606
2006 Khoshgoftaar TM, Van Hulse J. Multiple imputation of software measurement data: A case study 18th International Conference On Software Engineering and Knowledge Engineering, Seke 2006. 220-226.  0.54
2005 Khoshgoftaar TM, Van Hulse J. Empirical case studies in attribute noise detection Proceedings of the 2005 Ieee International Conference On Information Reuse and Integration, Iri - 2005. 2005: 211-216. DOI: 10.1109/IRI-05.2005.1506475  0.577
2005 Khoshgoftaar TM, Van Hulse J. Identifying noise in an attribute of interest Proceedings - Icmla 2005: Fourth International Conference On Machine Learning and Applications. 2005: 55-60. DOI: 10.1109/ICMLA.2005.39  0.622
2005 Khoshgoftaar TM, Van Hulse J. Identifying noisy features with the Pairwise Attribute Noise Detection Algorithm Intelligent Data Analysis. 9: 589-602.  0.507
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