Confidence Measures for Deep Learning in Domain Adaptation

In recent years, Deep Neural Networks (DNNs) have led to impressive results in a wide variety of machine learning tasks, typically relying on the existence of a huge amount of supervised data. However, in many applications (e.g., bio−medical image analysis), gathering large sets of labeled...

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Bibliographic Details
Main Authors: Simone Bonechi, Paolo Andreini, Monica Bianchini, Akshay Pai, Franco Scarselli
Format: Article
Language:English
Published: MDPI AG 2019-05-01
Series:Applied Sciences
Subjects:
Online Access:https://www.mdpi.com/2076-3417/9/11/2192