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@Article{bertini_et_al:DR:2020:11982, author = {Enrico Bertini and Peer-Timo Bremer and Daniela Oelke and Jayaraman Thiagarajan}, title = {{Machine Learning Meets Visualization to Make Artificial Intelligence Interpretable (Dagstuhl Seminar 19452)}}, pages = {24--33}, journal = {Dagstuhl Reports}, ISSN = {2192-5283}, year = {2020}, volume = {9}, number = {11}, editor = {Enrico Bertini and Peer-Timo Bremer and Daniela Oelke and Jayaraman Thiagarajan}, publisher = {Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik}, address = {Dagstuhl, Germany}, URL = {https://drops.dagstuhl.de/opus/volltexte/2020/11982}, URN = {urn:nbn:de:0030-drops-119820}, doi = {10.4230/DagRep.9.11.24}, annote = {Keywords: Visualization, Machine Learning, Interpretability} }
Keywords: | Visualization, Machine Learning, Interpretability | |
Seminar: | Dagstuhl Reports, Volume 9, Issue 11 | |
Issue date: | 2020 | |
Date of publication: | 31.03.2020 |