Michael Biehl
Rijksuniversiteit Groningen
H-index: 44
Europe-Netherlands
Top articles of Michael Biehl
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Iterated Relevance Matrix Analysis (IRMA) for the identification of class-discriminative subspaces | Neurocomputing | Sofie Lövdal Michael Biehl | 2024/2/7 |
Translating the potential of the urine steroid metabolome to stage NAFLD (TrUSt-NAFLD): study protocol for a multicentre, prospective validation study | BMJ open | Hamish Miller David Harman Guruprasad Padur Aithal Pinelopi Manousou Jeremy F Cobbold | 2024/1/1 |
Forecasting relative returns for S&P 500 stocks using machine learning | Financial Innovation | Htet Htet Htun Michael Biehl Nicolai Petkov | 2024/4/20 |
Investigating the aspect of asymmetry in brain-first versus body-first Parkinson’s disease | npj Parkinson's Disease | SS Lövdal G Carli B Orso M Biehl D Arnaldi | 2024/3/30 |
Subspace corrected relevance learning with application in neuroimaging | Artificial Intelligence in Medicine | Rick van Veen Neha Rajendra Bari Tamboli Sofie Lövdal Sanne K Meles Remco J Renken | 2024/3/1 |
Abstract: Off-line Learning Analysis for Soft Committee Machines with GELU Activation | Frederieke Richert Michiel Straat Michael Biehl | 2023 | |
Improved Interpretation of Feature Relevances: Iterated Relevance Matrix Analysis (IRMA) | Sofie Lövdal Michael Biehl | 2023/10 | |
The Shallow and the Deep: A biased introduction to neural networks and old school machine learning | Michael Biehl | 2023/9/27 | |
Machine learning basic concepts for the movement disorders specialist | Elina L van den Brandhof AM Madelein van der Stouwe Jelle R Dalenberg Inge Tuitert Marina AJ de Koning-Tijssen | 2023/5/23 | |
Urine steroid metabolomics as a diagnostic tool in primary aldosteronism | The Journal of Steroid Biochemistry and Molecular Biology | Alessandro Prete Katharina Lang David Pavlov Yara Rhayem Alice J Sitch | 2024/3/1 |
Abstract: Machine learning-based steroid metabolome analysis reveals three distinct subtypes of polycystic ovary syndrome and implicates 11-oxygenated androgens as major … | Endocrine Abstracts | Eka Melson Thais P Rocha Roland J Veen Lida Abdi Tara Mcdonnell | 2023/5/2 |
Abstract: Urine steroid metabolomics as a diagnostic tool in endocrine hypertension | Endocrine Abstracts | Alessandro Prete Lida Abdi Onnicha Suntornlohanakul Katharina Lang Julien Riancho | 2023/10/31 |
Survey of feature selection and extraction techniques for stock market prediction | Htet Htet Htun Michael Biehl Nicolai Petkov | 2023/1/12 | |
Layered Neural Networks with GELU Activation, a Statistical Mechanics Analysis | Frederieke Richert Michiel Straat Elisa Oostwal Michael Biehl | 2023 | |
A learning vector quantization architecture for transfer learning based classification in case of multiple sources by means of null-space evaluation | Thomas Villmann Daniel Staps Jensun Ravichandran Sascha Saralajew Michael Biehl | 2022/4/7 | |
DECORAS: detection and characterization of radio-astronomical sources using deep learning | Monthly Notices of the Royal Astronomical Society | S Rezaei JP McKean M Biehl A Javadpour | 2022/3 |
FDG-PET combined with Learning Vector Quantization allows classification of neurodegenerative diseases and reveals the trajectory of idiopathic REM sleep behavior disorder | Computer Methods and Programs in Biomedicine | Rick van Veen Sanne K Meles Remco J Renken Fransje E Reesink Wolfgang H Oertel | 2022/10/1 |
A machine learning based approach to gravitational lens identification with the International LOFAR Telescope | Monthly Notices of the Royal Astronomical Society | S Rezaei JP McKean M Biehl W de Roo A Lafontaine | 2022/7/21 |
Interpretable Models Capable of Handling Systematic Missingness in Imbalanced Classes and Heterogeneous Datasets | arXiv preprint arXiv:2206.02056 | Sreejita Ghosh Elizabeth S Baranowski Michael Biehl Wiebke Arlt Peter Tino | 2022/6/4 |
19th SC@ RUG 2022 proceedings 2021-2022 | Rein Smedinga Michael Biehl | 2022/4/25 |
Co-Authors
