noisy labels; missing labels; semi-supervised learning; entropy; uncertainty; robustness and generalisation.
This application calculates the entropy of a string. The focus of this implementation is represented by a specialized function called "entropy" which receives a text sequence as a parameter and returns a value that represents the entropy. Entropy is a measure of the uncertainty in a random variable.
Presentation outlining the Biodiversity Risk Assessment framework proposed as part of the Alberta Biodiversity Conservation Program
Repository for the IALab exam's projects, A.Y. 2019-2020. Developer with love by Roger Ferrod, Pio Raffaele Fina and Lorenzo Tabasso.
A framework for the analysis of un(certainty) in traffic, using a crowdsourcing approach.
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