Deep Neural Network Ensembles Using Class-vs-Class Weighting

Ensembling is a popular and powerful technique to utilize predictions from several different machine learning models. The fundamental precondition of a well-working ensemble model is a diverse set of combined constituents. Rapid development in the deep learning field provides an ever-increasing pale...

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Bibliographic Details
Main Authors: Rene Fabricius, Ondrej Such, Peter Tarabek
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/10190625/