| 2008 |
|---|
| 11 | | 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 |
| 10 | EE | Taghi M. Khoshgoftaar,
Naeem Seliya,
Chris Seiffert:
Low-Effort Labeling of Network Events for Intrusion Detection in WLANs.
International Journal on Artificial Intelligence Tools 17(3): 521-537 (2008) |
| 2007 |
|---|
| 9 | | Taghi M. Khoshgoftaar,
Chris Seiffert,
Naeem Seliya:
Low-Effort Labeling of Network Events for Intrusion Detection in WLANs.
FLAIRS Conference 2007: 490-495 |
| 8 | EE | Chris Seiffert,
Taghi M. Khoshgoftaar,
Jason Van Hulse,
Amri Napolitano:
Mining Data with Rare Events: A Case Study.
ICTAI (2) 2007: 132-139 |
| 7 | 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 |
| 6 | | Andres Folleco,
Taghi M. Khoshgoftaar,
Jason Van Hulse,
Chris Seiffert:
Learning from Software Quality Data with Class Imbalance and Noise.
SEKE 2007: 487- |
| 5 | 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) |
| 2006 |
|---|
| 4 | EE | Taghi M. Khoshgoftaar,
Jason Van Hulse,
Chris Seiffert:
A Hybrid Approach to Cleansing Software Measurement Data.
ICTAI 2006: 713-722 |
| 3 | | Taghi M. Khoshgoftaar,
Chris Seiffert,
Naeem Seliya:
Labeling network event records for intrusion detection in a Wireless LAN.
IRI 2006: 200-206 |
| 2 | | Jason Van Hulse,
Taghi M. Khoshgoftaar,
Chris Seiffert,
Lili Zhao:
Noise correction using bayesian multiple imputation.
IRI 2006: 478-483 |
| 1 | | Taghi M. Khoshgoftaar,
Chris Seiffert,
Jason Van Hulse:
Polishing Noise in Continuous Software Measurement Data.
SEKE 2006: 227-231 |
