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%0 Journal Article
%1 journals/inffus/HolzingerDECASS22
%A Holzinger, Andreas
%A Dehmer, Matthias
%A Emmert-Streib, Frank
%A Cucchiara, Rita
%A Augenstein, Isabelle
%A Ser, Javier Del
%A Samek, Wojciech
%A Jurisica, Igor
%A Rodríguez, Natalia Díaz
%D 2022
%J Inf. Fusion
%K dblp
%P 263-278
%T Information fusion as an integrative cross-cutting enabler to achieve robust, explainable, and trustworthy medical artificial intelligence.
%U http://dblp.uni-trier.de/db/journals/inffus/inffus79.html#HolzingerDECASS22
%V 79
@article{journals/inffus/HolzingerDECASS22,
added-at = {2022-04-09T00:00:00.000+0200},
author = {Holzinger, Andreas and Dehmer, Matthias and Emmert-Streib, Frank and Cucchiara, Rita and Augenstein, Isabelle and Ser, Javier Del and Samek, Wojciech and Jurisica, Igor and Rodríguez, Natalia Díaz},
biburl = {https://www.bibsonomy.org/bibtex/2390de5ab40c93a285e98d0bc78777139/dblp},
ee = {https://doi.org/10.1016/j.inffus.2021.10.007},
interhash = {70ab7e815f9c5e651a6959d3236b1f35},
intrahash = {390de5ab40c93a285e98d0bc78777139},
journal = {Inf. Fusion},
keywords = {dblp},
pages = {263-278},
timestamp = {2024-04-09T05:59:42.000+0200},
title = {Information fusion as an integrative cross-cutting enabler to achieve robust, explainable, and trustworthy medical artificial intelligence.},
url = {http://dblp.uni-trier.de/db/journals/inffus/inffus79.html#HolzingerDECASS22},
volume = 79,
year = 2022
}
