Michael Biehl
Scholar

Michael Biehl

Google Scholar ID: 493MsTwAAAAJ
University of Groningen, Bernoulli Institute
machine learningneural networksstatistical physicsbiomedical data
Citations & Impact
All-time
Citations
4,842
 
H-index
29
 
i10-index
75
 
Publications
20
 
Co-authors
179
list available
Resume (English only)
Academic Achievements
  • Published multiple papers such as 'Iterated Relevance Matrix Analysis for improved robustness in prototype-based learning schemes' (October 2025) and 'Hermite polynomials facilitating on-line learning analysis of layered neural networks with arbitrary activation function' (August 2025); Participated in research projects like Dagstuhl Seminar 24192 (May 2024); Erdös number is 3.
Research Experience
  • Full Professor at the University of Groningen, focusing on Machine Learning and Computational Intelligence; Honorary Professor of Machine Learning at the University of Birmingham.
Background
  • Research interests include Machine Learning, Intelligent Systems, Neural Networks, Artificial Intelligence, and Computer Science. Full Professor at the University of Groningen focusing on the theory and applications of machine learning.
Miscellany
  • Personal interests not mentioned