Jason Van Hulse

	2011
57		Wilker Altidor, Taghi M. Khoshgoftaar, Jason Van Hulse: Robustness of Filter-Based Feature Ranking: A Case Study. FLAIRS Conference 2011
56		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
55		Jason Van Hulse, Taghi M. Khoshgoftaar, Amri Napolitano: A comparative evaluation of feature ranking methods for high dimensional bioinformatics data. IRI 2011: 315-320
54		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)
53		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)
52		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)
51		Jason Van Hulse, Taghi M. Khoshgoftaar, Amri Napolitano: Evaluating the Impact of Data Quality on Sampling. JIKM 10(3): 225-245 (2011)
	2010
50		Kehan Gao, Taghi M. Khoshgoftaar, Jason Van Hulse: An Evaluation of Sampling on Filter-Based Feature Selection Methods. FLAIRS Conference 2010
49		Huanjing Wang, Taghi M. Khoshgoftaar, Jason Van Hulse: A Comparative Study of Threshold-Based Feature Selection Techniques. GrC 2010: 499-504
48		Naeem Seliya, Taghi M. Khoshgoftaar, Jason Van Hulse: Predicting Faults in High Assurance Software. HASE 2010: 26-34
47		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
46		Jason Van Hulse, Taghi M. Khoshgoftaar, Amri Napolitano: A Novel Noise Filtering Algorithm for Imbalanced Data. ICMLA 2010: 9-14
45		Jason Van Hulse, Taghi M. Khoshgoftaar, Amri Napolitano: Evaluating the impact of data quality on sampling. IRI 2010: 31-36
44		Taghi M. Khoshgoftaar, Kehan Gao, Jason Van Hulse: A novel feature selection technique for highly imbalanced data. IRI 2010: 80-85
43		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)
42		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)
41		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)
	2009
40		Jason Van Hulse, Taghi M. Khoshgoftaar, Amri Napolitano, Randall Wald: Feature Selection with High-Dimensional Imbalanced Data. ICDM Workshops 2009: 507-514
39		Naeem Seliya, Taghi M. Khoshgoftaar, Jason Van Hulse: A Study on the Relationships of Classifier Performance Metrics. ICTAI 2009: 59-66
38		Wilker Altidor, Taghi M. Khoshgoftaar, Jason Van Hulse: An Empirical Study on Wrapper-Based Feature Ranking. ICTAI 2009: 75-82
37		Jason Van Hulse, Taghi M. Khoshgoftaar, Amri Napolitano: An Empirical Comparison of Repetitive Undersampling Techniques. IRI 2009: 29-34
36		Naeem Seliya, Taghi M. Khoshgoftaar, Jason Van Hulse: Aggregating Performance Metrics for Classifier Evaluation. IRI 2009: 35-40
35		Jason Van Hulse, Taghi M. Khoshgoftaar: Knowledge discovery from imbalanced and noisy data. Data Knowl. Eng. 68(12): 1513-1542 (2009)
34		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)
33		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)
32		Andres Folleco, Taghi M. Khoshgoftaar, Jason Van Hulse, Amri Napolitano: Identifying Learners Robust to Low Quality Data. Informatica (Slovenia) 33(3): 245-259 (2009)
	2008
31		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
30		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
29		Chris Seiffert, Taghi M. Khoshgoftaar, Jason Van Hulse, Amri Napolitano: RUSBoost: Improving classification performance when training data is skewed. ICPR 2008: 1-4
28		Chris Seiffert, Taghi M. Khoshgoftaar, Jason Van Hulse, Amri Napolitano: Resampling or Reweighting: A Comparison of Boosting Implementations. ICTAI (1) 2008: 445-451
27		Chris Seiffert, Taghi M. Khoshgoftaar, Jason Van Hulse, Amri Napolitano: Improving Learner Performance with Data Sampling and Boosting. ICTAI (1) 2008: 452-459
26		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
25		Andres Folleco, Taghi M. Khoshgoftaar, Jason Van Hulse, Lofton A. Bullard: Identifying learners robust to low quality data. IRI 2008: 190-195
24		Chris Seiffert, Taghi M. Khoshgoftaar, Jason Van Hulse: Hybrid sampling for imbalanced data. IRI 2008: 202-207
23		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)
22		Taghi M. Khoshgoftaar, Jason Van Hulse: Imputation techniques for multivariate missingness in software measurement data. Software Quality Journal 16(4): 563-600 (2008)
	2007
21		Jason Van Hulse, Taghi M. Khoshgoftaar, Amri Napolitano: Skewed Class Distributions and Mislabeled Examples. ICDM Workshops 2007: 477-482
20		Jason Van Hulse, Taghi M. Khoshgoftaar, Amri Napolitano: Experimental perspectives on learning from imbalanced data. ICML 2007: 935-942
19		Taghi M. Khoshgoftaar, Chris Seiffert, Jason Van Hulse, Amri Napolitano, Andres Folleco: Learning with limited minority class data. ICMLA 2007: 348-353
18		Chris Seiffert, Taghi M. Khoshgoftaar, Jason Van Hulse, Amri Napolitano: Mining Data with Rare Events: A Case Study. ICTAI (2) 2007: 132-139
17		Taghi M. Khoshgoftaar, Moiz Golawala, Jason Van Hulse: An Empirical Study of Learning from Imbalanced Data Using Random Forest. ICTAI (2) 2007: 310-317
16		Jason Van Hulse, Taghi M. Khoshgoftaar: Incomplete-Case Nearest Neighbor Imputation in Software Measurement Data. IRI 2007: 630-637
15		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
14		Andres Folleco, Taghi M. Khoshgoftaar, Jason Van Hulse, Chris Seiffert: Learning from Software Quality Data with Class Imbalance and Noise. SEKE 2007: 487-
13		Taghi M. Khoshgoftaar, Jason Van Hulse, Chris Seiffert, Lili Zhao: The multiple imputation quantitative noise corrector. Intell. Data Anal. 11(3): 245-263 (2007)
12		Jason Van Hulse, Taghi M. Khoshgoftaar, Haiying Huang: The pairwise attribute noise detection algorithm. Knowl. Inf. Syst. 11(2): 171-190 (2007)
	2006
11		Jason Van Hulse, Taghi M. Khoshgoftaar, Chris Seiffert: A Comparison of Software Fault Imputation Procedures. ICMLA 2006: 135-142
10		Taghi M. Khoshgoftaar, Jason Van Hulse, Chris Seiffert: A Hybrid Approach to Cleansing Software Measurement Data. ICTAI 2006: 713-722
9		Jason Van Hulse, Taghi M. Khoshgoftaar, Chris Seiffert, Lili Zhao: Noise correction using bayesian multiple imputation. IRI 2006: 478-483
8		Taghi M. Khoshgoftaar, Andres Folleco, Jason Van Hulse, Lofton A. Bullard: Software quality imputation in the presence of noisy data. IRI 2006: 484-489
7		Taghi M. Khoshgoftaar, Jason Van Hulse: Multiple Imputation of Software Measurement Data: A Case Study. SEKE 2006: 220-226
6		Taghi M. Khoshgoftaar, Chris Seiffert, Jason Van Hulse: Polishing Noise in Continuous Software Measurement Data. SEKE 2006: 227-231
5		Taghi M. Khoshgoftaar, Jason Van Hulse: Determining noisy instances relative to attributes of interest. Intell. Data Anal. 10(3): 251-268 (2006)
4		Jason Van Hulse, Taghi M. Khoshgoftaar: Class noise detection using frequent itemsets. Intell. Data Anal. 10(6): 487-507 (2006)
	2005
3		Taghi M. Khoshgoftaar, Jason Van Hulse: Identifying noise in an attribute of interest. ICMLA 2005
2		Taghi M. Khoshgoftaar, Jason Van Hulse: Empirical case studies in attribute noise detection. IRI 2005: 211-216
1		Taghi M. Khoshgoftaar, Jason Van Hulse: Identifying noisy features with the Pairwise Attribute Noise Detection Algorithm. Intell. Data Anal. 9(6): 589-602 (2005)

Coauthor Index

1	Wilker Altidor	[38] [57]
2	Lofton A. Bullard	[8] [25] [26]
3	David J. Dittman	[47]
4	Andres Folleco	[8] [14] [15] [19] [25] [26] [32]
5	Kehan Gao	[44] [50] [52]
6	Moiz Golawala	[17]
7	Haiying Huang	[12]
8	Taghi M. Khoshgoftaar	[1] [2] [3] [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] [39] [40] [41] [42] [43] [44] [45] [46] [47] [48] [49] [50] [51] [52] [53] [54] [55] [56] [57]
9	Amri Napolitano	[18] [19] [20] [21] [27] [28] [29] [30] [31] [32] [37] [40] [41] [42] [43] [45] [46] [51] [53] [54] [55]
10	Chris Seiffert	[6] [9] [10] [11] [13] [14] [15] [18] [19] [24] [27] [28] [29] [30] [31] [34] [42]
11	Naeem Seliya	[36] [39] [48]
12	Ahmad Abu Shanab	[56]
13	Randall Wald	[40] [47] [56]
14	Huanjing Wang	[49] [52]
15	Lili Zhao	[9] [13]

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