Ignoring what we don't know in accelerometer-based behaviour classification: the open-set recognition problem.

Supervised machine learning is commonly used to classify fine-scale behaviours from animal-borne accelerometers, assigning new data to predefined behaviour categories seen during training. These models cannot recognise novel behaviours as 'unknown',…

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