Robert E. Banfield

According to our database, Robert E. Banfield authored at least 16 papers between 2002 and 2011.

Collaborative distances:

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

2011

Detecting and ordering salient regions.

Larry Shoemaker, Robert E. Banfield, Lawrence O. Hall, Kevin W. Bowyer, W. Philip Kegelmeyer

Data Min. Knowl. Discov., 2011

2008

Using classifier ensembles to label spatially disjoint data.

Larry Shoemaker, Robert E. Banfield, Lawrence O. Hall, Kevin W. Bowyer, W. Philip Kegelmeyer

Inf. Fusion, 2008

Detecting and ordering salient regions for efficient browsing.

Larry Shoemaker, Robert E. Banfield, Larry O. Hall, Kevin W. Bowyer, W. Philip Kegelmeyer

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

Semi-supervised learning on large complex simulations.

John Nicholas Korecki, Robert E. Banfield, Larry O. Hall, Kevin W. Bowyer, W. Philip Kegelmeyer

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

2007

Learning on Complex Simulations.

Robert E. Banfield

PhD thesis, 2007

A Comparison of Decision Tree Ensemble Creation Techniques.

Robert E. Banfield, Lawrence O. Hall, Kevin W. Bowyer, W. Philip Kegelmeyer

IEEE Trans. Pattern Anal. Mach. Intell., 2007

Boosting Lite - Handling Larger Datasets and Slower Base Classifiers.

Lawrence O. Hall, Robert E. Banfield, Kevin W. Bowyer, W. Philip Kegelmeyer

Proceedings of the Multiple Classifier Systems, 7th International Workshop, 2007

2006

Learning to Predict Salient Regions from Disjoint and Skewed Training Sets.

Larry Shoemaker, Robert E. Banfield, Lawrence O. Hall, Kevin W. Bowyer, W. Philip Kegelmeyer

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

2005

Ensemble diversity measures and their application to thinning.

Robert E. Banfield, Lawrence O. Hall, Kevin W. Bowyer, W. Philip Kegelmeyer

Inf. Fusion, 2005

Ensembles of Classifiers from Spatially Disjoint Data.

Robert E. Banfield, Lawrence O. Hall, Kevin W. Bowyer, W. Philip Kegelmeyer

Proceedings of the Multiple Classifier Systems, 6th International Workshop, 2005

2004

A Comparison of Ensemble Creation Techniques.

Robert E. Banfield, Lawrence O. Hall, Kevin W. Bowyer, Divya Bhadoria, W. Philip Kegelmeyer, Steven Eschrich

Proceedings of the Multiple Classifier Systems, 5th International Workshop, 2004

2003

Is Error-Based Pruning Redeemable?

Lawrence O. Hall, Kevin W. Bowyer, Robert E. Banfield, Steven Eschrich, Richard Collins

Int. J. Artif. Intell. Tools, 2003

Why are neural networks sometimes much more accurate than decision trees: an analysis on a bio-informatics problem.

Lawrence O. Hall, Xiaomei Liu, Kevin W. Bowyer, Robert E. Banfield

Proceedings of the IEEE International Conference on Systems, 2003

A New Ensemble Diversity Measure Applied to Thinning Ensembles.

Robert E. Banfield, Lawrence O. Hall, Kevin W. Bowyer, W. Philip Kegelmeyer

Proceedings of the Multiple Classifier Systems, 4th International Workshop, 2003

Comparing Pure Parallel Ensemble Creation Techniques Against Bagging.

Lawrence O. Hall, Kevin W. Bowyer, Robert E. Banfield, Divya Bhadoria, W. Philip Kegelmeyer, Steven Eschrich

Proceedings of the 3rd IEEE International Conference on Data Mining (ICDM 2003), 2003

2002

Error-Based Pruning of Decision Trees Grown on Very Large Data Sets Can Work!

Lawrence O. Hall, Richard Collins, Kevin W. Bowyer, Robert E. Banfield

Proceedings of the 14th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2002), 2002