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%0 Conference Paper
%1 conf/ijcnn/HumphreysHWT23
%A Humphreys, Jack
%A Hagenbuchner, Markus
%A Wang, Zhiyong
%A Tsoi, Ah Chung
%B IJCNN
%D 2023
%I IEEE
%K dblp
%P 1-8
%T Embedding the Self-Organisation of Deep Feature Maps in the Hamburger Framework can Yield Better and Interpretable Results.
%U http://dblp.uni-trier.de/db/conf/ijcnn/ijcnn2023.html#HumphreysHWT23
%@ 978-1-6654-8867-9
@inproceedings{conf/ijcnn/HumphreysHWT23,
added-at = {2023-11-12T00:00:00.000+0100},
author = {Humphreys, Jack and Hagenbuchner, Markus and Wang, Zhiyong and Tsoi, Ah Chung},
biburl = {https://www.bibsonomy.org/bibtex/2a75145b861303986586e039d6a25b282/dblp},
booktitle = {IJCNN},
crossref = {conf/ijcnn/2023},
ee = {https://doi.org/10.1109/IJCNN54540.2023.10191477},
interhash = {aabf3989635684022a26d8ba244ddabc},
intrahash = {a75145b861303986586e039d6a25b282},
isbn = {978-1-6654-8867-9},
keywords = {dblp},
pages = {1-8},
publisher = {IEEE},
timestamp = {2024-04-09T23:43:38.000+0200},
title = {Embedding the Self-Organisation of Deep Feature Maps in the Hamburger Framework can Yield Better and Interpretable Results.},
url = {http://dblp.uni-trier.de/db/conf/ijcnn/ijcnn2023.html#HumphreysHWT23},
year = 2023
}