Physiologically-informed Gaussian processes for interpretable modelling of psycho-physiological states
The widespread popularity of Machine Learning(ML)models in healthcare solutions has increased the demand for their interpretability and accountability. In this paper, we propose the Physiologically-Informed Gaussian Process (PhGP) classification model, an interpretable machine learning model founded...
| Váldodahkkit: | , , , , , , |
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| Materiálatiipa: | Journal article |
| Giella: | English |
| Almmustuhtton: |
IEEE
2022
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