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

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

Published: 2023, Last Modified: 27 Nov 2025Expert Syst. Appl. 2023EveryoneRevisionsBibTeXCC BY-SA 4.0
Abstract: Highlights•Confirm explainable boosting machines predict performance of network architectures.•Show pairwise diversity of neural networks is predictable similar to performance.•Explain network architecture parameter effect on diversity.•Show that diversity can be promoted through architectural differences.•Show that diversity through architecture can maintain underlying model performance.