Zobrazeno 1 - 10
of 37
pro vyhledávání: '"Data annotation rules"'
Publikováno v:
Data Science and Engineering, Vol 5, Iss 3, Pp 207-223 (2020)
Abstract Rule-based systems have been used increasingly to augment learning algorithms for annotating data. Rules alleviate many of the shortcomings inherent in pure algorithmic approaches, in cases algorithms are not working well or lack from enough
Externí odkaz:
https://doaj.org/article/520c444e73614234914608706984070f
Publikováno v:
Data Science and Engineering, Vol 5, Iss 3, Pp 207-223 (2020)
Rule-based systems have been used increasingly to augment learning algorithms for annotating data. Rules alleviate many of the shortcomings inherent in pure algorithmic approaches, in cases algorithms are not working well or lack from enough training
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::57cf886fa21bd77a89fc5da6d4c8c2e2
https://doi.org/10.1007/s41019-020-00130-4
https://doi.org/10.1007/s41019-020-00130-4
Autor:
Zhang, Hongwei1 (AUTHOR), Zhu, Yanjie1 (AUTHOR) yanjie@seu.edu.cn, Xiong, Wen1 (AUTHOR), Cai, C. S.1 (AUTHOR)
Publikováno v:
Computer-Aided Civil & Infrastructure Engineering. Nov2024, p1. 19p. 9 Illustrations.
Akademický článek
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Facial expression recognition (FER) survey: a vision, architectural elements, and future directions.
Publikováno v:
PeerJ Computer Science; Jun2024, p1-35, 35p
Recognition of Car Front Facing Style for Machine-Learning Data Annotation: A Quantitative Approach.
Autor:
Ma, Lisha1 (AUTHOR) malisha@whut.edu.cn, Wu, Yu1 (AUTHOR) wu.yu@whut.edu.cn, Li, Qingnan1 (AUTHOR), Yuan, Xiaofang1 (AUTHOR)
Publikováno v:
Symmetry (20738994). Jun2022, Vol. 14 Issue 6, pN.PAG-N.PAG. 26p.
Autor:
Kpiebaareh, Michael Y.1 (AUTHOR) kpiebaareh@gmail.com, Wu, Wei-Ping1 (AUTHOR) mscoolkid999@gmail.com, Agyemang, Brighter2 (AUTHOR) brighteragyemang@gmail.com, Haruna, Charles R.3 (AUTHOR) charuna@ucc.edu.gh, Lawrence, Tandoh1 (AUTHOR)
Publikováno v:
Information (2078-2489). Mar2022, Vol. 13 Issue 3, p118-N.PAG. 30p.
Autor:
Li, Xiaobai, Cheng, Shiyang, Li, Yante, Behzad, Muzammil, Shen, Jie, Zafeiriou, Stefanos, Pantic, Maja, Zhao, Guoying
Publikováno v:
IEEE Transactions on Affective Computing; Oct-Dec2023, Vol. 14 Issue 4, p3031-3047, 17p
Publikováno v:
Applied Sciences (2076-3417); May2023, Vol. 13 Issue 10, p6235, 21p
Autor:
Zhai, Xuesong, Xu, Jiaqi, Chen, Nian-Shing, Shen, Jun, Li, Yan, Wang, Yonggu, Chu, Xiaoyan, Zhu, Yumeng
Publikováno v:
Journal of Educational Computing Research; Apr2023, Vol. 61 Issue 2, p466-493, 28p