Different Ways of Weakening Decision Trees and Their Impact on Classification Accuracy of DT Combination. - Patrice Latinne; Olivier Debeir; Christine Decaestecker (Multiple Classifier Systems, 2000)

Adjusting the Outputs of a Classifier to New a Priori Probabilities May Significantly Improve Classification Accuracy: Evidence from a multi-class problem in remote sensing. - Patrice Latinne; Marco Saerens; Christine Decaestecker (ICML, 2001)

Limiting the Number of Trees in Random Forests. - Patrice Latinne; Olivier Debeir; Christine Decaestecker (Multiple Classifier Systems, 2001)

Adjusting the Outputs of a Classifier to New a Priori Probabilities: A Simple Procedure. - Marco Saerens; Patrice Latinne; Christine Decaestecker (Neural Comput., 2002)

Combining Different Methods and Numbers of Weak Decision Trees. - Patrice Latinne; Olivier Debeir; Christine Decaestecker (Pattern Anal. Appl., 2002)

Any reasonable cost function can be used for a posteriori probability approximation. - Marco Saerens; Patrice Latinne; Christine Decaestecker (IEEE Trans. Neural Networks, 2002)