Chris Seiffert

Publication Activity (10 Years)

Years Active: 2006-2014
Publications (10 Years): 0

Top Topics

Software Quality

Classification Accuracy

Top Venues

Publications

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. Inf. Sci. 259 (2014)
Chris Seiffert, Taghi M. Khoshgoftaar, Jason Van Hulse, Amri Napolitano
RUSBoost: A Hybrid Approach to Alleviating Class Imbalance. IEEE Trans. Syst. Man Cybern. Part A 40 (1) (2010)
Chris Seiffert, Taghi M. Khoshgoftaar, Jason Van Hulse
Improving Software-Quality Predictions With Data Sampling and Boosting. IEEE Trans. Syst. Man Cybern. Part A 39 (6) (2009)
Chris Seiffert, Taghi M. Khoshgoftaar, Jason Van Hulse
Hybrid sampling for imbalanced data. Integr. Comput. Aided Eng. 16 (3) (2009)
Chris Seiffert, Taghi M. Khoshgoftaar, Jason Van Hulse, Amri Napolitano
Resampling or Reweighting: A Comparison of Boosting Implementations. ICTAI (1) (2008)
Chris Seiffert, Taghi M. Khoshgoftaar, Jason Van Hulse, Amri Napolitano
RUSBoost: Improving classification performance when training data is skewed. ICPR (2008)
Taghi M. Khoshgoftaar, Naeem Seliya, Chris Seiffert
Low-Effort Labeling of Network Events for Intrusion Detection in WLANs. Int. J. Artif. Intell. Tools 17 (3) (2008)
Chris Seiffert, Taghi M. Khoshgoftaar, Jason Van Hulse
Hybrid sampling for imbalanced data. IRI (2008)
Chris Seiffert, Taghi M. Khoshgoftaar, Jason Van Hulse, Amri Napolitano
Improving Learner Performance with Data Sampling and Boosting. ICTAI (1) (2008)
Chris Seiffert, Taghi M. Khoshgoftaar, Jason Van Hulse, Amri Napolitano
A Comparative Study of Data Sampling and Cost Sensitive Learning. ICDM Workshops (2008)
Chris Seiffert, Taghi M. Khoshgoftaar, Jason Van Hulse, Amri Napolitano
Building Useful Models from Imbalanced Data with Sampling and Boosting. FLAIRS Conference (2008)
Taghi M. Khoshgoftaar, Chris Seiffert, Naeem Seliya
Low-Effort Labeling of Network Events for Intrusion Detection in WLANs. FLAIRS Conference (2007)
Taghi M. Khoshgoftaar, Jason Van Hulse, Chris Seiffert, Lili Zhao
The multiple imputation quantitative noise corrector. Intell. Data Anal. 11 (3) (2007)
Andres Folleco, Taghi M. Khoshgoftaar, Jason Van Hulse, Chris Seiffert
Learning from Software Quality Data with Class Imbalance and Noise. SEKE (2007)
Taghi M. Khoshgoftaar, Chris Seiffert, Jason Van Hulse, Amri Napolitano, Andres Folleco
Learning with limited minority class data. ICMLA (2007)
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)
Chris Seiffert, Taghi M. Khoshgoftaar, Jason Van Hulse, Amri Napolitano
Mining Data with Rare Events: A Case Study. ICTAI (2) (2007)
Taghi M. Khoshgoftaar, Chris Seiffert, Jason Van Hulse
Polishing Noise in Continuous Software Measurement Data. SEKE (2006)
Taghi M. Khoshgoftaar, Chris Seiffert, Naeem Seliya
Labeling network event records for intrusion detection in a Wireless LAN. IRI (2006)
Jason Van Hulse, Taghi M. Khoshgoftaar, Chris Seiffert
A Comparison of Software Fault Imputation Procedures. ICMLA (2006)
Jason Van Hulse, Taghi M. Khoshgoftaar, Chris Seiffert, Lili Zhao
Noise correction using bayesian multiple imputation. IRI (2006)
Taghi M. Khoshgoftaar, Jason Van Hulse, Chris Seiffert
A Hybrid Approach to Cleansing Software Measurement Data. ICTAI (2006)