Chris Seiffert

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

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2014

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

Chris Seiffert, Taghi M. Khoshgoftaar, Jason Van Hulse, Andres Folleco

Inf. Sci., 2014

2010

RUSBoost: A Hybrid Approach to Alleviating Class Imbalance.

Chris Seiffert, Taghi M. Khoshgoftaar, Jason Van Hulse, Amri Napolitano

IEEE Trans. Syst. Man Cybern. Part A, 2010

2009

Improving Software-Quality Predictions With Data Sampling and Boosting.

Chris Seiffert, Taghi M. Khoshgoftaar, Jason Van Hulse

IEEE Trans. Syst. Man Cybern. Part A, 2009

Hybrid sampling for imbalanced data.

Chris Seiffert, Taghi M. Khoshgoftaar, Jason Van Hulse

Integr. Comput. Aided Eng., 2009

2008

Low-Effort Labeling of Network Events for Intrusion Detection in WLANs.

Taghi M. Khoshgoftaar, Naeem Seliya, Chris Seiffert

Int. J. Artif. Intell. Tools, 2008

Improving Learner Performance with Data Sampling and Boosting.

Chris Seiffert, Taghi M. Khoshgoftaar, Jason Van Hulse, Amri Napolitano

Proceedings of the 20th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2008), 2008

Resampling or Reweighting: A Comparison of Boosting Implementations.

Chris Seiffert, Taghi M. Khoshgoftaar, Jason Van Hulse, Amri Napolitano

Proceedings of the 20th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2008), 2008

RUSBoost: Improving classification performance when training data is skewed.

Chris Seiffert, Taghi M. Khoshgoftaar, Jason Van Hulse, Amri Napolitano

Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008

A Comparative Study of Data Sampling and Cost Sensitive Learning.

Chris Seiffert, Taghi M. Khoshgoftaar, Jason Van Hulse, Amri Napolitano

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.

Chris Seiffert, Taghi M. Khoshgoftaar, Jason Van Hulse, Amri Napolitano

Proceedings of the Twenty-First International Florida Artificial Intelligence Research Society Conference, 2008

2007

The multiple imputation quantitative noise corrector.

Taghi M. Khoshgoftaar, Jason Van Hulse, Chris Seiffert, Lili Zhao

Intell. Data Anal., 2007

Learning from Software Quality Data with Class Imbalance and Noise.

Andres Folleco, Taghi M. Khoshgoftaar, Jason Van Hulse, Chris Seiffert

Proceedings of the Nineteenth International Conference on Software Engineering & Knowledge Engineering (SEKE'2007), 2007

Mining Data with Rare Events: A Case Study.

Chris Seiffert, Taghi M. Khoshgoftaar, Jason Van Hulse, Amri Napolitano

Proceedings of the 19th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2007), 2007

Learning with limited minority class data.

Taghi M. Khoshgoftaar, Chris Seiffert, Jason Van Hulse, Amri Napolitano, Andres Folleco

Proceedings of the Sixth International Conference on Machine Learning and Applications, 2007

2006

Polishing Noise in Continuous Software Measurement Data.

Taghi M. Khoshgoftaar, Chris Seiffert, Jason Van Hulse

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.

Taghi M. Khoshgoftaar, Chris Seiffert, Naeem Seliya

Proceedings of the 2006 IEEE International Conference on Information Reuse and Integration, 2006

Noise correction using bayesian multiple imputation.

Jason Van Hulse, Taghi M. Khoshgoftaar, Chris Seiffert, Lili Zhao

Proceedings of the 2006 IEEE International Conference on Information Reuse and Integration, 2006

A Hybrid Approach to Cleansing Software Measurement Data.

Taghi M. Khoshgoftaar, Jason Van Hulse, Chris Seiffert

Proceedings of the 18th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2006), 2006

A Comparison of Software Fault Imputation Procedures.

Jason Van Hulse, Taghi M. Khoshgoftaar, Chris Seiffert

Proceedings of the Fifth International Conference on Machine Learning and Applications, 2006