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Abstract

Cite as

Enrico Bertini, Peer-Timo Bremer, Daniela Oelke, and Jayaraman Thiagarajan. Machine Learning Meets Visualization to Make Artificial Intelligence Interpretable (Dagstuhl Seminar 19452). In Dagstuhl Reports, Volume 9, Issue 11, pp. 24-33, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2020)

@Article{bertini_et_al:DagRep.9.11.24,
  author =	{Bertini, Enrico and Bremer, Peer-Timo and Oelke, Daniela and Thiagarajan, Jayaraman},
  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 =	{Bertini, Enrico and Bremer, Peer-Timo and Oelke, Daniela and Thiagarajan, Jayaraman},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/DagRep.9.11.24},
  URN =		{urn:nbn:de:0030-drops-119820},
  doi =		{10.4230/DagRep.9.11.24},
  annote =	{Keywords: Visualization, Machine Learning, Interpretability}
}