Nijenborgh 9, 9747 AG Groningen, NL
m dot biehl at rug dot nl
Room 5161.0584 Tel +31 50 363 3997
meikelbiehl at gmail dot com
Honorary Professor of Machine Learning, University of Birmingham
Center for Systems Modelling and Quantitative Biomedicine
Research:
Machine Learning and Computational Intelligence
Deep theory and algorithm development for neural networks
Learning Vector Quantization and Relevance Learning
Applications in life sciences, biomedical data, astroinformatics
Statistical Physics and Scientific Computing
Theory of neural networks, dynamics of machine learning processes
Monte Carlo simulations of complex systems
Disordered systems, non-equilibrium growth processes
Teaching:
Neural Networks and Computational Intelligence
Modelling and Simulation
Introduction to Machine Learning
Student Colloquium
January 30, 2024:
February 7, 2024:
March 27, 2024:
March 2024:
Any vacancies or available internships will be
announced properly through the usual channels and on this website.
Our publication in AIM is online (open access):
Subspace corrected relevance learning with application
in neuroimaging
Artificial Intelligence in Medicine 149: Art. No. 102786 (2024)
Our publication in Neurocomputing is online (open access):
Iterated Relevance Matrix (IRMA) for the identification of class-discriminative subspaces
Neurocomputing 577: Art. No. 127367 (2024)
More than 3000 downloads of
"The Shallow and the Deep"
since its publication end of September 2023.
Our contribution to the WSOM+ 2024
Interpretable Machine Learning in Endocrinology:
a Diagnostic Tool in Primary Aldosteronism
has been accepted.
Note that
I will not reply to unspecific requests or unsolicited
applications for internships, PhD positions etc.