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  1. Publication
  2. Causal Interpretability for Machine Learning – Problems, Methods and Evaluation

Causal Interpretability for Machine Learning – Problems, Methods and Evaluation

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Causal Interpretability for Machine Learning – Problems, Methods and Evaluation
— status
published
— sort
article in journal
who
— authors
Raha Moraffah  •  Mansooreh Karami  •  Ruocheng Guo  •  Adrienne Raglin  •  Huan Liu
where & when
— publication date
June 2020
— journal
ACM SIGKDD Explorations Newsletter
— volume no.
22
— issue
1
— pages
18–33
— number of pages
16
— publisher
Association for Computing Machinery (ACM)
BibTeX alignment
— address
New York, NY, USA
URL
URL  •  Open Access URL
— DOI
10.1145/3400051.3400058
ISBN & ISSN
— ISSN
1931-0145
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APICe
— journal or series
ACM SIGKDD Explorations Newsletter
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