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Rick van Veen
Rick van Veen
Verified email at rug.nl
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Cited by
Cited by
Year
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
162017
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
122017
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
9*2018
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
82020
sklvq: Scikit Learning Vector Quantization
R van Veen, M Biehl, GJ de Vries
Journal of Machine Learning Research 22 (231), 1-6, 2021
42021
Analysis of missing data imputation applied to heart failure data
R van Veen
University of Groningen, 2016
32016
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
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
Learning Vector Quantization with Applications in Neuroimaging and Biomedicine
R van Veen
University of Groningen, 2022
2022
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, ...
ICT. Open 2017, 2017
2017
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
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Articles 1–11