The evolution of size and shape
Advances in genetic programming
Genetic Programming and Data Structures: Genetic Programming + Data Structures = Automatic Programming!
Size Fair and Homologous Tree Crossovers for Tree Genetic Programming
Genetic Programming and Evolvable Machines
Combining Multiple Experts for Classifying Shot Changes in Video Sequences
ICMCS '99 Proceedings of the 1999 IEEE International Conference on Multimedia Computing and Systems - Volume 02
Combining Decision Trees and Neural Networks for Drug Discovery
EuroGP '02 Proceedings of the 5th European Conference on Genetic Programming
Genetic Programming for Improved Receiver Operating Characteristics
MCS '01 Proceedings of the Second International Workshop on Multiple Classifier Systems
Genetic Programming for Mining DNA Chip Data from Cancer Patients
Genetic Programming and Evolvable Machines
Evolving Regular Expressions for GeneChip Probe Performance Prediction
Proceedings of the 10th international conference on Parallel Problem Solving from Nature: PPSN X
Genetic programming for protein related text classification
Proceedings of the 11th Annual conference on Genetic and evolutionary computation
Comparison of adaboost and genetic programming for combining neural networks for drug discovery
EvoWorkshops'03 Proceedings of the 2003 international conference on Applications of evolutionary computing
GP classification under imbalanced data sets: active sub-sampling and AUC approximation
EuroGP'08 Proceedings of the 11th European conference on Genetic programming
Iterative filter generation using genetic programming
EuroGP'06 Proceedings of the 9th European conference on Genetic Programming
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It has been suggested that the "Maximum Realisable Receiver Operating Characteristics" for a combination of classifiers is the convex hull of their individual ROCs [Scott et al., 1998]. As expected in at least some cases better ROCs can be produced. We show genetic programming (GP) can automatically produce a combination of classifiers whose ROC is better than the convex hull of the supplied classifier's ROCs.