Chris Seiffert

According to our database1, Chris Seiffert authored at least 19 papers between 2006 and 2014.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2014
An empirical study of the classification performance of learners on imbalanced and noisy software quality data.
Inf. Sci., 2014

2010
RUSBoost: A Hybrid Approach to Alleviating Class Imbalance.
IEEE Trans. Syst. Man Cybern. Part A, 2010

2009
Improving Software-Quality Predictions With Data Sampling and Boosting.
IEEE Trans. Syst. Man Cybern. Part A, 2009

Hybrid sampling for imbalanced data.
Integr. Comput. Aided Eng., 2009

2008
Low-Effort Labeling of Network Events for Intrusion Detection in WLANs.
Int. J. Artif. Intell. Tools, 2008

Improving Learner Performance with Data Sampling and Boosting.
Proceedings of the 20th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2008), 2008

Resampling or Reweighting: A Comparison of Boosting Implementations.
Proceedings of the 20th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2008), 2008

RUSBoost: Improving classification performance when training data is skewed.
Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008

A Comparative Study of Data Sampling and Cost Sensitive Learning.
Proceedings of the Workshops Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008

Building Useful Models from Imbalanced Data with Sampling and Boosting.
Proceedings of the Twenty-First International Florida Artificial Intelligence Research Society Conference, 2008

2007
The multiple imputation quantitative noise corrector.
Intell. Data Anal., 2007

Learning from Software Quality Data with Class Imbalance and Noise.
Proceedings of the Nineteenth International Conference on Software Engineering & Knowledge Engineering (SEKE'2007), 2007

Mining Data with Rare Events: A Case Study.
Proceedings of the 19th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2007), 2007

Learning with limited minority class data.
Proceedings of the Sixth International Conference on Machine Learning and Applications, 2007

2006
Polishing Noise in Continuous Software Measurement Data.
Proceedings of the Eighteenth International Conference on Software Engineering & Knowledge Engineering (SEKE'2006), 2006

Labeling network event records for intrusion detection in a Wireless LAN.
Proceedings of the 2006 IEEE International Conference on Information Reuse and Integration, 2006

Noise correction using bayesian multiple imputation.
Proceedings of the 2006 IEEE International Conference on Information Reuse and Integration, 2006

A Hybrid Approach to Cleansing Software Measurement Data.
Proceedings of the 18th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2006), 2006

A Comparison of Software Fault Imputation Procedures.
Proceedings of the Fifth International Conference on Machine Learning and Applications, 2006


  Loading...