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Jakub M. Tomczak

Preface
Ensemble boosted trees with synthetic features generation in application to bankruptcy prediction
Self-paced learning for imbalanced data
Boosted SVM with active learning strategy for imbalanced data
Classification restricted Boltzmann machine for comprehensible credit scoring model
Probabilistic combination of classification rules and its application to medical diagnosis
RBM-SMOTE: restricted Boltzmann machines for synthetic minority oversampling technique
Asking right questions basing on incomplete data using restricted Boltzmann machines
Boosted SVM for extracting rules from imbalanced data in application to prediction of the post-operative life expectancy in the lung cancer patients
Ensemble SVM for imbalanced data
Selecting right guestions with restricted Boltzmann Machines
On-line Bayesian context change detection in Web service systems
Approximate Bayesian model comparison for change detection in Web service systems
Multistage parallel processing of connections in the network node: simulation model
Typical motifs of the e-mail based social networks

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