MetaCost: a general method for making classifiers cost-sensitive
KDD '99 Proceedings of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining
AI '01 Proceedings of the 14th Australian Joint Conference on Artificial Intelligence: Advances in Artificial Intelligence
Stacking for Misclassification Cost Performance
AI '01 Proceedings of the 14th Biennial Conference of the Canadian Society on Computational Studies of Intelligence: Advances in Artificial Intelligence
DS '98 Proceedings of the First International Conference on Discovery Science
Floatcascade learning for fast imbalanced web mining
Proceedings of the 17th international conference on World Wide Web
Cost-Sensitive Decision Trees with Pre-pruning
CAI '07 Proceedings of the 20th conference of the Canadian Society for Computational Studies of Intelligence on Advances in Artificial Intelligence
Classifier Loss Under Metric Uncertainty
ECML '07 Proceedings of the 18th European conference on Machine Learning
CSNL: A cost-sensitive non-linear decision tree algorithm
ACM Transactions on Knowledge Discovery from Data (TKDD)
Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining
Machine learning on historic air photographs for mapping risk of unexploded bombs
ICIAP'05 Proceedings of the 13th international conference on Image Analysis and Processing
Decision tree classifiers sensitive to heterogeneous costs
Journal of Systems and Software
Towards cost-sensitive learning for real-world applications
PAKDD'11 Proceedings of the 15th international conference on New Frontiers in Applied Data Mining
A survey of cost-sensitive decision tree induction algorithms
ACM Computing Surveys (CSUR)
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