Data Innovation Summit - Made in Belgium 2015

Using HDDT to avoid instances propagation in unbalanced and evolving data streams

Racing for unbalanced methods selection

Andrea Dal Pozzolo - Data Scientist

Credit card fraud detection and concept drift adaptation with delayed supervised information

Is Machine learning useful for Fraud Prevention?

When is undersampling effective in unbalanced classification tasks?

Calibrating Probability with Undersampling for Unbalanced Classification

Presentation of the unbalanced R package

Adaptive Machine Learning for Credit Card Fraud Detection