Robert E. Banfield

University of South Florida — United States

Computer Science · Physical Sciences

9h-index843citations18works0.02yr avg
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Research Topics

Machine Learning and Data Classification(10), Data Mining Algorithms and Applications(8), Data Stream Mining Techniques(7), Anomaly Detection Techniques and Applications(6), Face and Expression Recognition(3)

Publications18 total

Detecting and ordering salient regions
Data Mining and Knowledge Discovery·2010· 1 cited
Detecting and ordering salient regions for efficient browsing
Proceedings - International Conference on Pattern Recognition/Proceedings/International Conference on Pattern Recognition·2008· 4 cited
Semi-supervised learning on large complex simulations
Proceedings - International Conference on Pattern Recognition/Proceedings/International Conference on Pattern Recognition·2008· 12 cited
Using classifier ensembles to label spatially disjoint data
Information Fusion·2007· 12 cited
Boosting Lite – Handling Larger Datasets and Slower Base Classifiers
Lecture notes in computer science·2007· 3 cited
Learning on complex simulations
2007
A Comparison of Decision Tree Ensemble Creation Techniques
IEEE Transactions on Pattern Analysis and Machine Intelligence·2006· 374 cited
Learning to Predict Salient Regions from Disjoint and Skewed Training Sets
Proceedings - International Conference on Tools with Artificial Intelligence, TAI·2006· 5 cited
Ensembles of Classifiers from Spatially Disjoint Data
Lecture notes in computer science·2005· 14 cited
Ensemble diversity measures and their application to thinning
Information Fusion·2004· 217 cited
Why are neural networks sometimes much more accurate than decision trees: an analysis on a bio-informatics problem
2004· 9 cited
Ensemble diversity measures and their application to thinning
Information Fusion·2004· 10 cited
Comparing pure parallel ensemble creation techniques against bagging
2004· 26 cited
A Comparison of Ensemble Creation Techniques
Lecture notes in computer science·2004· 53 cited
Is Error-Based Pruning Redeemable?
International Journal of Artificial Intelligence Tools·2003· 8 cited
Error-based pruning of decision trees grown on very large data sets can work!
2003· 9 cited
A New Ensemble Diversity Measure Applied to Thinning Ensembles
Lecture notes in computer science·2003· 86 cited
Wavelet transform based fault detection in water distribution systems
PolyU Institutional Research Archive (Hong Kong Polytechnic University)·2000

Frequent Co-authors

Lawrence Hall(16), Kevin W. Bowyer(15), W. Philip Kegelmeyer(12), Larry Shoemaker(4), Steven A. Eschrich(3), Divya Bhadoria(2), Richard Collins(2), John N. Korecki(1), Xiao Liu(1), Ivan Stoianov(1), C Maksimovic(1), Njd Graham(1)