| 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 | EE | 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 | EE | Chris Seiffert,
Taghi M. Khoshgoftaar,
Jason Van Hulse,
Amri Napolitano:
RUSBoost: Improving classification performance when training data is skewed.
ICPR 2008: 1-4 |
| 24 | EE | Chris Seiffert,
Taghi M. Khoshgoftaar,
Jason Van Hulse,
Amri Napolitano:
Resampling or Reweighting: A Comparison of Boosting Implementations.
ICTAI (1) 2008: 445-451 |
| 23 | EE | Chris Seiffert,
Taghi M. Khoshgoftaar,
Jason Van Hulse,
Amri Napolitano:
Improving Learner Performance with Data Sampling and Boosting.
ICTAI (1) 2008: 452-459 |
| 22 | EE | 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 | EE | Andres Folleco,
Taghi M. Khoshgoftaar,
Jason Van Hulse,
Lofton A. Bullard:
Identifying learners robust to low quality data.
IRI 2008: 190-195 |
| 20 | EE | Chris Seiffert,
Taghi M. Khoshgoftaar,
Jason Van Hulse:
Hybrid sampling for imbalanced data.
IRI 2008: 202-207 |
| 19 | EE | 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 | EE | Jason Van Hulse,
Taghi M. Khoshgoftaar,
Amri Napolitano:
Skewed Class Distributions and Mislabeled Examples.
ICDM Workshops 2007: 477-482 |
| 17 | EE | Jason Van Hulse,
Taghi M. Khoshgoftaar,
Amri Napolitano:
Experimental perspectives on learning from imbalanced data.
ICML 2007: 935-942 |
| 16 | EE | Chris Seiffert,
Taghi M. Khoshgoftaar,
Jason Van Hulse,
Amri Napolitano:
Mining Data with Rare Events: A Case Study.
ICTAI (2) 2007: 132-139 |
| 15 | EE | 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 | EE | Jason Van Hulse,
Taghi M. Khoshgoftaar:
Incomplete-Case Nearest Neighbor Imputation in Software Measurement Data.
IRI 2007: 630-637 |
| 13 | EE | 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 | EE | 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 | EE | Jason Van Hulse,
Taghi M. Khoshgoftaar,
Haiying Huang:
The pairwise attribute noise detection algorithm.
Knowl. Inf. Syst. 11(2): 171-190 (2007) |
| 2006 |
|---|
| 9 | EE | 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 | EE | Taghi M. Khoshgoftaar,
Jason Van Hulse:
Determining noisy instances relative to attributes of interest.
Intell. Data Anal. 10(3): 251-268 (2006) |
| 3 | EE | Jason Van Hulse,
Taghi M. Khoshgoftaar:
Class noise detection using frequent itemsets.
Intell. Data Anal. 10(6): 487-507 (2006) |
| 2005 |
|---|
| 2 | EE | Taghi M. Khoshgoftaar,
Jason Van Hulse:
Empirical case studies in attribute noise detection.
IRI 2005: 211-216 |
| 1 | EE | Taghi M. Khoshgoftaar,
Jason Van Hulse:
Identifying noisy features with the Pairwise Attribute Noise Detection Algorithm.
Intell. Data Anal. 9(6): 589-602 (2005) |
