This page contains code, in R and Python, related to my publications. Unless otherwise indicated, the following software is made available under the GNU GPL license, see GNU GPL.

R code for active learning for one-class classification using one-class SVM


R code for running the autoencoder and Mahalanobis distance-based one-class classifiers


Python code for running denoising autoencoder-based synthetic oversampling


SWIM: Sampling WIth the Majority class


Evaluation of RL for Semi-Markov materials design problems