%0 Conference Paper %1 conf/mie/PlagwitzBFV22 %A Plagwitz, Lucas %A Brenner, Alexander %A Fujarski, Michael %A Varghese, Julian %B MIE %D 2022 %E Séroussi, Brigitte %E Weber, Patrick %E Dhombres, Ferdinand %E Grouin, Cyril %E Liebe, Jan-David %E Pelayo, Sylvia %E Pinna, Andrea %E Rance, Bastien %E Sacchi, Lucia %E Ugon, Adrien %E Benis, Arriel %E Gallos, Parisis %I IOS Press %K dblp %P 109-113 %T Supporting AI-Explainability by Analyzing Feature Subsets in a Machine Learning Model. %U http://dblp.uni-trier.de/db/conf/mie/mie2022.html#PlagwitzBFV22 %V 294 %@ 978-1-64368-285-3

@inproceedings{conf/mie/PlagwitzBFV22, added-at = {2022-12-07T00:00:00.000+0100}, author = {Plagwitz, Lucas and Brenner, Alexander and Fujarski, Michael and Varghese, Julian}, biburl = {https://www.bibsonomy.org/bibtex/268cdc96afd253026b4573130c79569a3/dblp}, booktitle = {MIE}, crossref = {conf/mie/2022}, editor = {Séroussi, Brigitte and Weber, Patrick and Dhombres, Ferdinand and Grouin, Cyril and Liebe, Jan-David and Pelayo, Sylvia and Pinna, Andrea and Rance, Bastien and Sacchi, Lucia and Ugon, Adrien and Benis, Arriel and Gallos, Parisis}, ee = {https://doi.org/10.3233/SHTI220406}, interhash = {6ecdf2e8281c001f44c41067f96e7be8}, intrahash = {68cdc96afd253026b4573130c79569a3}, isbn = {978-1-64368-285-3}, keywords = {dblp}, pages = {109-113}, publisher = {IOS Press}, series = {Studies in Health Technology and Informatics}, timestamp = {2024-04-10T00:19:35.000+0200}, title = {Supporting AI-Explainability by Analyzing Feature Subsets in a Machine Learning Model.}, url = {http://dblp.uni-trier.de/db/conf/mie/mie2022.html#PlagwitzBFV22}, volume = 294, year = 2022 }