Creative Commons Attribution 3.0 Unported license (CC-BY 3.0)when quoting this document, please refer to the following
DOI: 10.4230/DagRep.9.11.24
URN: urn:nbn:de:0030-drops-119820
URL: https://drops.dagstuhl.de/opus/volltexte/2020/11982/
Bertini, Enrico ; Bremer, Peer-Timo ; Oelke, Daniela ; Thiagarajan, Jayaraman
Weitere Beteiligte (Hrsg. etc.): Enrico Bertini and Peer-Timo Bremer and Daniela Oelke and Jayaraman Thiagarajan
Machine Learning Meets Visualization to Make Artificial Intelligence Interpretable (Dagstuhl Seminar 19452)
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Abstract
This report documents the program and the outcomes of Dagstuhl Seminar 19452 "Machine Learning Meets Visualization to Make Artificial Intelligence Interpretable".
BibTeX - Entry
@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 |
