BibTeX
@phdthesis{BoehlePhD24, TITLE = {Towards Designing Inherently Interpretable Deep Neural Networks for Image Classification}, AUTHOR = {B{\"o}hle, Moritz}, LANGUAGE = {eng}, URL = {urn:nbn:de:bsz:291--ds-421904}, DOI = {10.22028/D291-42190}, SCHOOL = {Universit{\"a}t des Saarlandes}, ADDRESS = {Saarbr{\"u}cken}, YEAR = {2024}, DATE = {2024}, }
Endnote
%0 Thesis %A Böhle, Moritz %Y Schiele, Bernt %Y Fritz, Mario %A referee: Akata, Zeynep %A referee: Brendel, Wieland %+ Computer Vision and Machine Learning, MPI for Informatics, Max Planck Society International Max Planck Research School, MPI for Informatics, Max Planck Society Computer Vision and Machine Learning, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations %T Towards Designing Inherently Interpretable Deep Neural Networks for Image Classification : %G eng %U http://hdl.handle.net/21.11116/0000-000F-76AA-D %U urn:nbn:de:bsz:291--ds-421904 %R 10.22028/D291-42190 %F OTHER: hdl:20.500.11880/37907 %I Universität des Saarlandes %C Saarbrücken %D 2024 %P XIII, 265 p. %V phd %9 phd %U https://publikationen.sulb.uni-saarland.de/handle/20.500.11880/37907