Elina L. van den Brandhof

According to our database, Elina L. van den Brandhof authored at least 5 papers between 2025 and 2026.

Collaborative distances:

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

2026

Iterated relevance matrix analysis for improved classification and robustness in prototype-based learning schemes.

Sofie Lövdal, Elina L. van den Brandhof, Michael Biehl

Neurocomputing, 2026

FA(IR)2MA-GLVQ - A hidden-feature-bias mitigation approach for fairness in classification learning based on generalized matrix learning vector quantization.

Marika Kaden, Ronny Schubert, Julius Voigt, Lynn V. Reuss, Alexander Engelsberger, Sofie Lövdal, Elina L. van den Brandhof, Michael Biehl, Thomas Villmann

Neurocomputing, 2026

2025

Explainable machine learning for movement disorders - Classification of tremor and myoclonus.

Elina L. van den Brandhof, Inge Tuitert, A. M. Madelein van der Stouwe, Jan W. J. Elting, Jelle R. Dalenberg, Tatiana Svorenova, Marrit R. Klamer, Ramesh S. Marapin, Michael Biehl, Marina A. J. Tijssen

Comput. Biol. Medicine, 2025

Mitigating the Bias in Data for Fairness Using an Advanced Generalized Learning Vector Quantization Approach - FA(IR)$^2$MA-GLVQ.

Marika Kaden, Alexander Engelsberger, Ronny Schubert, Sofie Lövdal, Elina L. van den Brandhof, Michael Biehl, Thomas Villmann

Proceedings of the 33rd European Symposium on Artificial Neural Networks, 2025

Interpretable machine learning for the diagnosis of hyperkinetic movement disorders.

Elina L. van den Brandhof, Jan W. J. Elting, Inge Tuitert, A. M. Madelein van der Stouwe, Jelle R. Dalenberg, Marina A. J. Tijssen, Michael Biehl

Proceedings of the 33rd European Symposium on Artificial Neural Networks, 2025