%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 }