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1
WARNER: Weakly-Supervised Neural Network to Identify Evicti..:
, In:
Proceedings of the 31st ACM International Conference on Information & Knowledge Management
,
Tabar, Maryam
;
Jung, Wooyong
;
Yadav, Amulya
... - p. 3514-3523 , 2022
Link:
https://dl.acm.org/doi/10.1145/3511808.3557128
RT T1 <cTitle>Proceedings of the 31st ACM International Conference on Information & Knowledge Management</cTitle>: T1 <Title>WARNER: Weakly-Supervised Neural Network to Identify Eviction Filing Hotspots in the Absence of Court Records</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3557128&Exemplar=1&LAN=DE A1 Tabar, Maryam A1 Jung, Wooyong A1 Yadav, Amulya A1 Wilson Chavez, Owen A1 Flores, Ashley A1 Lee, Dongwon PB ACM YR 2022 K1 machine learning K1 social good K1 the eviction crisis K1 weakly supervised learning K1 Computing methodologies K1 Machine learning K1 Machine learning approaches K1 Neural networks K1 Applied computing K1 Law, social and behavioral sciences K1 Sociology SP 3514 OP 3523 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3511808.3557128 DO https://dl.acm.org/doi/10.1145/3511808.3557128 SF ELIB - SuUB Bremen
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