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
Using a Neural Network to Approximate an Ensemble of Classifiers
Neural Processing Letters
Intelligent information triage
Proceedings of the 24th annual international ACM SIGIR conference on Research and development in information retrieval
A Survey of Methods for Scaling Up Inductive Algorithms
Data Mining and Knowledge Discovery
The Role of Occam‘s Razor in Knowledge Discovery
Data Mining and Knowledge Discovery
A perspective view and survey of meta-learning
Artificial Intelligence Review
ECML '02 Proceedings of the 13th European Conference on Machine Learning
Tree Induction for Probability-Based Ranking
Machine Learning
A survey of evolutionary algorithms for data mining and knowledge discovery
Advances in evolutionary computing
Pruning in ordered bagging ensembles
ICML '06 Proceedings of the 23rd international conference on Machine learning
Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining
Using boosting to prune bagging ensembles
Pattern Recognition Letters
Combining multiple class distribution modified subsamples in a single tree
Pattern Recognition Letters
International Journal of Hybrid Intelligent Systems
Machine Learning
Evolutionary approach to combined multiple models tuning
International Journal of Knowledge-based and Intelligent Engineering Systems - Extended papers selected from KES-2006
Decision Tree Instability and Active Learning
ECML '07 Proceedings of the 18th European conference on Machine Learning
CTC: An Alternative to Extract Explanation from Bagging
Current Topics in Artificial Intelligence
Using Boosting to prune Double-Bagging ensembles
Computational Statistics & Data Analysis
Mining extremely small data sets with application to software reuse
Software—Practice & Experience
Artificial neural network reduction through oracle learning
Intelligent Data Analysis
Active Learning with Automatic Soft Labeling for Induction of Decision Trees
Canadian AI '09 Proceedings of the 22nd Canadian Conference on Artificial Intelligence: Advances in Artificial Intelligence
ICAPR'05 Proceedings of the Third international conference on Advances in Pattern Recognition - Volume Part I
Consolidated tree classifier learning in a car insurance fraud detection domain with class imbalance
ICAPR'05 Proceedings of the Third international conference on Advances in Pattern Recognition - Volume Part I
Improving on bagging with input smearing
PAKDD'06 Proceedings of the 10th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining
ALT'05 Proceedings of the 16th international conference on Algorithmic Learning Theory
Evolutionary tuning of combined multiple models
KES'06 Proceedings of the 10th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part II
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