Conference paper
CHI '21, Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems, Association for Computing Machinery, New York, NY, USA, 2021
APA
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Anik, A. I., & Bunt, A. (2021). Data-Centric Explanations: Explaining Training Data of Machine Learning Systems to Promote Transparency. In Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems. New York, NY, USA: Association for Computing Machinery. https://doi.org/10.1145/3411764.3445736
Chicago/Turabian
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Anik, Ariful Islam, and Andrea Bunt. “Data-Centric Explanations: Explaining Training Data of Machine Learning Systems to Promote Transparency.” In Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems. CHI '21. New York, NY, USA: Association for Computing Machinery, 2021.
MLA
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Anik, Ariful Islam, and Andrea Bunt. “Data-Centric Explanations: Explaining Training Data of Machine Learning Systems to Promote Transparency.” Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems, Association for Computing Machinery, 2021, doi:10.1145/3411764.3445736.
BibTeX Click to copy
@inproceedings{anik2021a,
title = {Data-Centric Explanations: Explaining Training Data of Machine Learning Systems to Promote Transparency},
year = {2021},
address = {New York, NY, USA},
publisher = {Association for Computing Machinery},
series = {CHI '21},
doi = {10.1145/3411764.3445736},
author = {Anik, Ariful Islam and Bunt, Andrea},
booktitle = {Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems}
}