%0 Conference Paper %1 bruggenjurgen2022mixture %A Brüggenjürgen, Simeon %A Schaaf, Nina %A Kerschke, Pascal %A Huber, Marco F. %B 21st IEEE International Conference on Machine Learning and Applications %D 2022 %E Wani, M. Arif %E Kantardzic, Mehmed %E Palade, Vasile %E Neagu, Daniel %E Yang, Longzhi %E Chan, Kit-Yan %I IEEE %K ubs_10007 ubs_20011 ubs_30104 ubs_40377 unibibliografie wos %P 1175-1182 %R 10.1109/ICMLA55696.2022.00190 %T Mixture of Decision Trees for Interpretable Machine Learning %@ 978-1-6654-6283-9 and 978-1-6654-6284-6

@inproceedings{bruggenjurgen2022mixture, added-at = {2023-12-21T15:02:44.000+0100}, affiliation = {Bruggenjurgen, S (Corresponding Author), Univ Munster, Dept Informat Syst, Munster, Germany. Brueggenjuergen, Simeon, Univ Munster, Dept Informat Syst, Munster, Germany. Schaaf, Nina; Huber, Marco F., Fraunhofer Inst Mfg Engn & Automat IPA, Dept Cyber Cognit Intelligence CCI, Stuttgart, Germany. Kerschke, Pascal, Tech Univ Dresden, Inst Transport & Econ, Dresden, Germany. Huber, Marco F., Univ Stuttgart, Inst Ind Mfg & Management IFF, Stuttgart, Germany.}, author = {Brüggenjürgen, Simeon and Schaaf, Nina and Kerschke, Pascal and Huber, Marco F.}, biburl = {https://puma.ub.uni-stuttgart.de/bibtex/22107c20a5fbe0d80368b79d0d882da2c/unibiblio}, booktitle = {21st IEEE International Conference on Machine Learning and Applications}, doi = {10.1109/ICMLA55696.2022.00190}, editor = {Wani, M. Arif and Kantardzic, Mehmed and Palade, Vasile and Neagu, Daniel and Yang, Longzhi and Chan, Kit-Yan}, eventdate = {2022-12-12/2022-12-14}, eventtitle = {21st IEEE International Conference on Machine Learning and Applications (IEEE ICMLA)}, interhash = {607ffefb589a4bd329eab228bf2b03ac}, intrahash = {2107c20a5fbe0d80368b79d0d882da2c}, isbn = {{978-1-6654-6283-9} and {978-1-6654-6284-6}}, keywords = {ubs_10007 ubs_20011 ubs_30104 ubs_40377 unibibliografie wos}, language = {eng}, pages = {1175-1182}, publisher = {IEEE}, research-areas = {Computer Science}, timestamp = {2023-12-21T15:02:44.000+0100}, title = {Mixture of Decision Trees for Interpretable Machine Learning}, unique-id = {WOS:000980994900180}, venue = {Nassau, Bahamas}, year = 2022 }