Wiebke Arlt

According to our database, Wiebke Arlt authored at least 7 papers between 2012 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Leveraging ordinal generalized matrix learning vector quantization for improved classification.

Lida Abdi, Alessandro Prete, Wiebke Arlt, Michael Biehl

Neural Comput. Appl., March, 2026

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, April, 2025

Interpretable modelling and visualization of biomedical data.

Sreejita Ghosh, Elizabeth Sarah Baranowski, Michael Biehl, Wiebke Arlt, Peter Tiño, Kerstin Bunte

Neurocomputing, 2025

2024

Interpretable Machine Learning in Endocrinology: A Diagnostic Tool in Primary Aldosteronism.

Michael Biehl, David Pavlov, Alice J. Sitch, Alessandro Prete, Wiebke Arlt

Proceedings of the Advances in Self-Organizing Maps, Learning Vector Quantization, Interpretable Machine Learning, and Beyond, 2024

2022

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

2017

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

Proceedings of the 25th European Symposium on Artificial Neural Networks, 2017

2012

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

Proceedings of the 20th European Symposium on Artificial Neural Networks, 2012