Matrix relevance LVQ in steroid metabolomics based classification of adrenal tumors. - Michael Biehl; Petra Schneider; David Smith; Han Stiekema; Angela Taylor; Beverly Hughes; Cedric Shackleton; Paul Stewart; Wiebke Arlt (ESANN, 2012)

Comparison of strategies to learn from imbalanced classes for computer aided diagnosis of inborn steroidogenic disorders. - Sreejita Ghosh; Elizabeth Sarah Baranowski; Rick van Veen; Gert-Jan de Vries; Michael Biehl; Wiebke Arlt; Peter Tiño; Kerstin Bunte (ESANN, 2017)

Interpretable Models Capable of Handling Systematic Missingness in Imbalanced Classes and Heterogeneous Datasets. - Sreejita Ghosh; Elizabeth Sarah Baranowski; Michael Biehl; Wiebke Arlt; Peter Tino; Kerstin Bunte (CoRR, 2022)

Interpretable Machine Learning in Endocrinology: A Diagnostic Tool in Primary Aldosteronism. - Michael Biehl; David Pavlov; Alice J. Sitch; Alessandro Prete; Wiebke Arlt (WSOM+, 2024)

Interpretable modelling and visualization of biomedical data. - Sreejita Ghosh; Elizabeth Sarah Baranowski; Michael Biehl; Wiebke Arlt; Peter Tiño; Kerstin Bunte (Neurocomputing, 2025)

Discriminative Subspace Emersion from learning feature relevances across different populations. - Marco Canducci; Lida Abdi; Alessandro Prete; Roland J. Veen; Michael Biehl; Wiebke Arlt; Peter Tino (CoRR, 2025)