 | 2008 |
|---|
| 9 |       | 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 |
| 8 |  | 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 |
| 7 | | 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 |
| 6 | | Chris Seiffert,
Taghi M. Khoshgoftaar,
Jason Van Hulse,
Amri Napolitano:
RUSBoost: Improving classification performance when training data is skewed.
ICPR 2008: 1-4 |
| 5 | | Chris Seiffert,
Taghi M. Khoshgoftaar,
Jason Van Hulse,
Amri Napolitano:
Resampling or Reweighting: A Comparison of Boosting Implementations.
ICTAI (1) 2008: 445-451 |
| 4 | | Chris Seiffert,
Taghi M. Khoshgoftaar,
Jason Van Hulse,
Amri Napolitano:
Improving Learner Performance with Data Sampling and Boosting.
ICTAI (1) 2008: 452-459 |
| 2007 |
|---|
| 3 | | Jason Van Hulse,
Taghi M. Khoshgoftaar,
Amri Napolitano:
Skewed Class Distributions and Mislabeled Examples.
ICDM Workshops 2007: 477-482 |
| 2 | | Jason Van Hulse,
Taghi M. Khoshgoftaar,
Amri Napolitano:
Experimental perspectives on learning from imbalanced data.
ICML 2007: 935-942 |
| 1 | | Chris Seiffert,
Taghi M. Khoshgoftaar,
Jason Van Hulse,
Amri Napolitano:
Mining Data with Rare Events: A Case Study.
ICTAI (2) 2007: 132-139 |
