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Found 4 papers, 0 papers with code
Detecting Signatures of Early-stage Dementia with Behavioural Models Derived from Sensor Data
There is a pressing need to automatically understand the state and progression of chronic neurological diseases such as dementia.
Hypothesis Testing for Class-Conditional Label Noise
Differently, in this paper we assume we have access to a set of anchor points whose true posterior is approximately 1/2.
When the Ground Truth is not True: Modelling Human Biases in Temporal Annotations
Here we propose a method to model human biases on temporal annotations and argue for the use of soft labels.
Hypothesis Testing for Class-Conditional Noise Using Local Maximum Likelihood
This different view allows for wider applicability of the tests by offering users access to a richer model class.
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