Predicting and explaining performance and diversity of neural network architecture for semantic segmentation-Reference-Cited by-同舟云学术

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Predicting and explaining performance and diversity of neural network architecture for semantic segmentation

Published:2023-03 Issue: Volume:214 Page:119101
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

Graham-Knight John Brandon^ORCID,Bond Corey^ORCID,Najjaran Homayoun^ORCID,Lucet Yves^ORCID,Lasserre Patricia^ORCID

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference47 articles.

1. A review on semantic segmentation from a modern perspective;Atif,2019

2. Medical open network for AI;Aylward,2020

3. Random search for hyper-parameter optimization;Bergstra;Journal of Machine Learning Research,2012

4. Stochastic learning;Bottou,2004

5. Bagging predictors;Breiman;Machine Learning,1996

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2. Methods of data analysis in the problem of optimizing the rental schedule;E3S Web of Conferences;2023

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