Jason Van Hulse

	2009
28		Jason Van Hulse, Taghi M. Khoshgoftaar: Knowledge discovery from imbalanced and noisy data. Data Knowl. Eng. 68(12): 1513-1542 (2009)
	2008
27		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
26		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
25		Chris Seiffert, Taghi M. Khoshgoftaar, Jason Van Hulse, Amri Napolitano: RUSBoost: Improving classification performance when training data is skewed. ICPR 2008: 1-4
24		Chris Seiffert, Taghi M. Khoshgoftaar, Jason Van Hulse, Amri Napolitano: Resampling or Reweighting: A Comparison of Boosting Implementations. ICTAI (1) 2008: 445-451
23		Chris Seiffert, Taghi M. Khoshgoftaar, Jason Van Hulse, Amri Napolitano: Improving Learner Performance with Data Sampling and Boosting. ICTAI (1) 2008: 452-459
22		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
21		Andres Folleco, Taghi M. Khoshgoftaar, Jason Van Hulse, Lofton A. Bullard: Identifying learners robust to low quality data. IRI 2008: 190-195
20		Chris Seiffert, Taghi M. Khoshgoftaar, Jason Van Hulse: Hybrid sampling for imbalanced data. IRI 2008: 202-207
19		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)
	2007
18		Jason Van Hulse, Taghi M. Khoshgoftaar, Amri Napolitano: Skewed Class Distributions and Mislabeled Examples. ICDM Workshops 2007: 477-482
17		Jason Van Hulse, Taghi M. Khoshgoftaar, Amri Napolitano: Experimental perspectives on learning from imbalanced data. ICML 2007: 935-942
16		Chris Seiffert, Taghi M. Khoshgoftaar, Jason Van Hulse, Amri Napolitano: Mining Data with Rare Events: A Case Study. ICTAI (2) 2007: 132-139
15		Taghi M. Khoshgoftaar, Moiz Golawala, Jason Van Hulse: An Empirical Study of Learning from Imbalanced Data Using Random Forest. ICTAI (2) 2007: 310-317
14		Jason Van Hulse, Taghi M. Khoshgoftaar: Incomplete-Case Nearest Neighbor Imputation in Software Measurement Data. IRI 2007: 630-637
13		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
12		Andres Folleco, Taghi M. Khoshgoftaar, Jason Van Hulse, Chris Seiffert: Learning from Software Quality Data with Class Imbalance and Noise. SEKE 2007: 487-
11		Taghi M. Khoshgoftaar, Jason Van Hulse, Chris Seiffert, Lili Zhao: The multiple imputation quantitative noise corrector. Intell. Data Anal. 11(3): 245-263 (2007)
10		Jason Van Hulse, Taghi M. Khoshgoftaar, Haiying Huang: The pairwise attribute noise detection algorithm. Knowl. Inf. Syst. 11(2): 171-190 (2007)
	2006
9		Taghi M. Khoshgoftaar, Jason Van Hulse, Chris Seiffert: A Hybrid Approach to Cleansing Software Measurement Data. ICTAI 2006: 713-722
8		Jason Van Hulse, Taghi M. Khoshgoftaar, Chris Seiffert, Lili Zhao: Noise correction using bayesian multiple imputation. IRI 2006: 478-483
7		Taghi M. Khoshgoftaar, Andres Folleco, Jason Van Hulse, Lofton A. Bullard: Software quality imputation in the presence of noisy data. IRI 2006: 484-489
6		Taghi M. Khoshgoftaar, Jason Van Hulse: Multiple Imputation of Software Measurement Data: A Case Study. SEKE 2006: 220-226
5		Taghi M. Khoshgoftaar, Chris Seiffert, Jason Van Hulse: Polishing Noise in Continuous Software Measurement Data. SEKE 2006: 227-231
4		Taghi M. Khoshgoftaar, Jason Van Hulse: Determining noisy instances relative to attributes of interest. Intell. Data Anal. 10(3): 251-268 (2006)
3		Jason Van Hulse, Taghi M. Khoshgoftaar: Class noise detection using frequent itemsets. Intell. Data Anal. 10(6): 487-507 (2006)
	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	Lofton A. Bullard	[7] [21] [22]
2	Andres Folleco	[7] [12] [13] [21] [22]
3	Moiz Golawala	[15]
4	Haiying Huang	[10]
5	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]
6	Amri Napolitano	[16] [17] [18] [23] [24] [25] [26] [27]
7	Chris Seiffert	[5] [8] [9] [11] [12] [13] [16] [20] [23] [24] [25] [26] [27]
8	Lili Zhao	[8] [11]