Partially black-boxed collective interpretation and its application to SOM-based convolutional neural networks-Reference-Cited by-同舟云学术

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Partially black-boxed collective interpretation and its application to SOM-based convolutional neural networks

Published:2021-08 Issue: Volume:450 Page:336-353
ISSN:0925-2312
Container-title:Neurocomputing
language:en
Short-container-title:Neurocomputing

Author:

Kamimura Ryotaro

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference75 articles.

1. Towards explainable artificial intelligence;Samek,2019

2. D. Baehrens, T. Schroeter, S. Harmeling, M. Kawanabe, K. Hansen, K.-R. MÃžller, How to explain individual classification decisions, Journal of Machine Learning Research 11 (Jun) (2010) 1803–1831.

3. Methods for interpreting and understanding deep neural networks;Montavon;Digital Signal Processing,2018

4. Understanding neural networks via feature visualization: A survey;Nguyen,2019

5. Visualizing higher-layer features of a deep network;Erhan;University of Montreal,2009

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