| Wearable accelerometer based extended sleep position recognition S Fallmann, R Van Veen, L Chen, D Walker, F Chen, C Pan 2017 IEEE 19th International Conference on e-Health Networking, Applications …, 2017 | 20 | 2017 |
| Machine learning based analysis of FDG-PET image data for the diagnosis of neurodegenerative diseases R van Veen, L Talavera Martinez, RV Kogan, S Meles, D Mudali, ... Frontiers in Artificial Intelligence and Applications 310 (Applications of …, 2018 | 14* | 2018 |
| Comparison of strategies to learn from imbalanced classes for computer aided diagnosis of inborn steroidogenic disorders. S Ghosh, ES Baranowski, R van Veen, GJ de Vries, M Biehl, W Arlt, ... ESANN, 2017 | 13 | 2017 |
| An application of generalized matrix learning vector quantization in neuroimaging R van Veen, V Gurvits, RV Kogan, SK Meles, GJ de Vries, RJ Renken, ... Computer Methods and Programs in Biomedicine 197, 105708, 2020 | 10 | 2020 |
| sklvq: Scikit Learning Vector Quantization R van Veen, M Biehl, GJ de Vries Journal of Machine Learning Research 22 (231), 1-6, 2021 | 6 | 2021 |
| Analysis of missing data imputation applied to heart failure data R van Veen University of Groningen, 2016 | 3 | 2016 |
| FDG-PET combined with learning vector quantization allows classification of neurodegenerative diseases and reveals the trajectory of idiopathic REM sleep behavior disorder R van Veen, SK Meles, RJ Renken, FE Reesink, WH Oertel, A Janzen, ... Computer Methods and Programs in Biomedicine 225, 107042, 2022 | 2 | 2022 |
| Learning Vector Quantization with Applications in Neuroimaging and Biomedicine R van Veen University of Groningen, 2022 | 1 | 2022 |
| Urinary steroid metabolomics for adrenocortical cancer diagnosis. Comparison of gas chromatography mass spectrometry to liquid chromatography mass spectrometry A Taylor, I Bancos, L Gilligan, R van Veen, V Chortis, F Shaheen, ... Endocrine Abstracts 81, 2022 | | 2022 |
| A Comparison of Combination Schemes for Multiclass Classification Using Binary Support Vector Machines R van Veen, LEN Baakman 12th SC@ RUG 2014-2015, 30, 0 | | |
| Computer aided diagnosis under the influence of heterogeneous data and imbalanced classes S Ghosh, ES Baranowski, R van Veen, GJ de Vries, M Biehl, W Arlt, ... | | |
Michael BiehlUniversity of Groningen, Bernoulli InstituteVerified email at rug.nl
