Conference paper
2022 Physics Education Research Conference Proceedings, American Association of Physics Teachers, Grand Rapids, MI, 2022 Sep, pp. 194--199
APA
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Fussell, R., Mazrui, A., & Holmes, N. G. (2022). Machine learning for automated content analysis: characteristics of training data impact reliability. In 2022 Physics Education Research Conference Proceedings (pp. 194–199). Grand Rapids, MI: American Association of Physics Teachers. https://doi.org/10.1119/perc.2022.pr.Fussell
Chicago/Turabian
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Fussell, Rebeckah, Ali Mazrui, and N. G. Holmes. “Machine Learning for Automated Content Analysis: Characteristics of Training Data Impact Reliability.” In 2022 Physics Education Research Conference Proceedings, 194–199. Grand Rapids, MI: American Association of Physics Teachers, 2022.
MLA
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Fussell, Rebeckah, et al. “Machine Learning for Automated Content Analysis: Characteristics of Training Data Impact Reliability.” 2022 Physics Education Research Conference Proceedings, American Association of Physics Teachers, 2022, pp. 194–99, doi:10.1119/perc.2022.pr.Fussell.
BibTeX Click to copy
@inproceedings{fussell2022a,
title = {Machine learning for automated content analysis: characteristics of training data impact reliability},
year = {2022},
month = sep,
address = {Grand Rapids, MI},
pages = {194--199},
publisher = {American Association of Physics Teachers},
doi = {10.1119/perc.2022.pr.Fussell},
author = {Fussell, Rebeckah and Mazrui, Ali and Holmes, N. G.},
booktitle = {2022 Physics Education Research Conference Proceedings},
month_numeric = {9}
}