Inproceedings,
Explainability methods for machine learning systems for multimodal medical datasets: research proposal.
A. Storås, I. Strümke, M. Riegler, and P. Halvorsen.MMSys, page 347-351. ACM, (2022)
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- conf/mmsys/StorasSRH22
- entry type
- inproceedings
- booktitle
- MMSys
- year
- 2022
- pages
- 347-351
- publisher
- ACM
- crossref
- conf/mmsys/2022
- ee
- https://doi.org/10.1145/3524273.3533925
- isbn
- 978-1-4503-9283-9
- url
- http://dblp.uni-trier.de/db/conf/mmsys/mmsys2022.html#StorasSRH22
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- please select -%0 Conference Paper
%1 conf/mmsys/StorasSRH22
%A Storås, Andrea M.
%A Strümke, Inga
%A Riegler, Michael A.
%A Halvorsen, Pål
%B MMSys
%D 2022
%E Murray, Niall
%E Simon, Gwendal
%E Farias, Mylène C. Q.
%E Viola, Irene
%E Montagud, Mario
%I ACM
%K dblp
%P 347-351
%T Explainability methods for machine learning systems for multimodal medical datasets: research proposal.
%U http://dblp.uni-trier.de/db/conf/mmsys/mmsys2022.html#StorasSRH22
%@ 978-1-4503-9283-9
@inproceedings{conf/mmsys/StorasSRH22,
added-at = {2022-08-11T00:00:00.000+0200},
author = {Storås, Andrea M. and Strümke, Inga and Riegler, Michael A. and Halvorsen, Pål},
biburl = {https://www.bibsonomy.org/bibtex/2800703d88685e0c6afd278514a2ba471/dblp},
booktitle = {MMSys},
crossref = {conf/mmsys/2022},
editor = {Murray, Niall and Simon, Gwendal and Farias, Mylène C. Q. and Viola, Irene and Montagud, Mario},
ee = {https://doi.org/10.1145/3524273.3533925},
interhash = {8008f9d9ae4d92575cbb637ee3cae3a9},
intrahash = {800703d88685e0c6afd278514a2ba471},
isbn = {978-1-4503-9283-9},
keywords = {dblp},
pages = {347-351},
publisher = {ACM},
timestamp = {2024-04-09T20:25:34.000+0200},
title = {Explainability methods for machine learning systems for multimodal medical datasets: research proposal.},
url = {http://dblp.uni-trier.de/db/conf/mmsys/mmsys2022.html#StorasSRH22},
year = 2022
}