Chris Seiffert

22 papers B 2C 4Misc 6Journal 6Unranked 4
YearRankTypeTitle / Venue / Authors
2014 J jnl
An empirical study of the classification performance of learners on imbalanced and noisy software quality data.
Inf. Sci.
Chris Seiffert, Taghi M. Khoshgoftaar, Jason Van Hulse, Andres Folleco
2010 J jnl
RUSBoost: A Hybrid Approach to Alleviating Class Imbalance.
IEEE Trans. Syst. Man Cybern. Part A
Chris Seiffert, Taghi M. Khoshgoftaar, Jason Van Hulse, Amri Napolitano
2009 J jnl
Hybrid sampling for imbalanced data.
Integr. Comput. Aided Eng.
Chris Seiffert, Taghi M. Khoshgoftaar, Jason Van Hulse
2009 J jnl
Improving Software-Quality Predictions With Data Sampling and Boosting.
IEEE Trans. Syst. Man Cybern. Part A
Chris Seiffert, Taghi M. Khoshgoftaar, Jason Van Hulse
2008 — conf
A Comparative Study of Data Sampling and Cost Sensitive Learning.
ICDM Workshops
Chris Seiffert, Taghi M. Khoshgoftaar, Jason Van Hulse, Amri Napolitano
2008 Misc conf
Building Useful Models from Imbalanced Data with Sampling and Boosting.
FLAIRS
Chris Seiffert, Taghi M. Khoshgoftaar, Jason Van Hulse, Amri Napolitano
2008 Misc conf
Hybrid sampling for imbalanced data.
IRI
Chris Seiffert, Taghi M. Khoshgoftaar, Jason Van Hulse
2008 — conf
Improving Learner Performance with Data Sampling and Boosting.
ICTAI (1)
Chris Seiffert, Taghi M. Khoshgoftaar, Jason Van Hulse, Amri Napolitano
2008 J jnl
Low-Effort Labeling of Network Events for Intrusion Detection in WLANs.
Int. J. Artif. Intell. Tools
Taghi M. Khoshgoftaar, Naeem Seliya, Chris Seiffert
2008 B conf
RUSBoost: Improving classification performance when training data is skewed.
ICPR
Chris Seiffert, Taghi M. Khoshgoftaar, Jason Van Hulse, Amri Napolitano
2008 — conf
Resampling or Reweighting: A Comparison of Boosting Implementations.
ICTAI (1)
Chris Seiffert, Taghi M. Khoshgoftaar, Jason Van Hulse, Amri Napolitano
2007 Misc conf
An Empirical Study of the Classification Performance of Learners on Imbalanced and Noisy Software Quality Data.
IRI
Chris Seiffert, Taghi M. Khoshgoftaar, Jason Van Hulse, Andres Folleco
2007 C conf
Learning from Software Quality Data with Class Imbalance and Noise.
SEKE
Andres Folleco, Taghi M. Khoshgoftaar, Jason Van Hulse, Chris Seiffert
2007 C conf
Learning with limited minority class data.
ICMLA
Taghi M. Khoshgoftaar, Chris Seiffert, Jason Van Hulse, Amri Napolitano, Andres Folleco
2007 Misc conf
Low-Effort Labeling of Network Events for Intrusion Detection in WLANs.
FLAIRS
Taghi M. Khoshgoftaar, Chris Seiffert, Naeem Seliya
2007 — conf
Mining Data with Rare Events: A Case Study.
ICTAI (2)
Chris Seiffert, Taghi M. Khoshgoftaar, Jason Van Hulse, Amri Napolitano
2007 J jnl
The multiple imputation quantitative noise corrector.
Intell. Data Anal.
Taghi M. Khoshgoftaar, Jason Van Hulse, Chris Seiffert, Lili Zhao
2006 C conf
A Comparison of Software Fault Imputation Procedures.
ICMLA
Jason Van Hulse, Taghi M. Khoshgoftaar, Chris Seiffert
2006 B conf
A Hybrid Approach to Cleansing Software Measurement Data.
ICTAI
Taghi M. Khoshgoftaar, Jason Van Hulse, Chris Seiffert
2006 Misc conf
Labeling network event records for intrusion detection in a Wireless LAN.
IRI
Taghi M. Khoshgoftaar, Chris Seiffert, Naeem Seliya
2006 Misc conf
Noise correction using bayesian multiple imputation.
IRI
Jason Van Hulse, Taghi M. Khoshgoftaar, Chris Seiffert, Lili Zhao
2006 C conf
Polishing Noise in Continuous Software Measurement Data.
SEKE
Taghi M. Khoshgoftaar, Chris Seiffert, Jason Van Hulse