Rick van Veen

Orcid: 0000-0003-0704-210X

According to our database1, Rick van Veen authored at least 6 papers between 2017 and 2022.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2022
FDG-PET combined with learning vector quantization allows classification of neurodegenerative diseases and reveals the trajectory of idiopathic REM sleep behavior disorder.
Comput. Methods Programs Biomed., 2022

2021
sklvq: Scikit Learning Vector Quantization.
J. Mach. Learn. Res., 2021

2020
An application of generalized matrix learning vector quantization in neuroimaging.
Comput. Methods Programs Biomed., 2020

2018
Machine Learning Based Analysis of FDG-PET Image Data for the Diagnosis of Neurodegenerative Diseases.
Proceedings of the Applications of Intelligent Systems, 2018

2017
Wearable accelerometer based extended sleep position recognition.
Proceedings of the 19th IEEE International Conference on e-Health Networking, 2017

Comparison of strategies to learn from imbalanced classes for computer aided diagnosis of inborn steroidogenic disorders.
Proceedings of the 25th European Symposium on Artificial Neural Networks, 2017


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