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Volumn 16, Issue , 2015, Pages 2853-2858

CEKA: A tool for mining the wisdom of crowds

Author keywords

Crowdsourcing; Inference; Learning from crowds; Multiple noisy labeling; Noise handling; Repeated labeling simulation

Indexed keywords

ARTIFICIAL INTELLIGENCE; CROWDSOURCING; FUNCTION EVALUATION; LEARNING SYSTEMS;

EID: 84961574739     PISSN: 15324435     EISSN: 15337928     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (45)

References (15)
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    • Iterative learning for reliable crowdsourcing systems
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    • Improving software quality prediction by noise filtering techniques
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    • Batc: A benchmark for aggregation techniques in crowdsourcing
    • ACM
    • Quoc Viet Hung Nguyen, Thanh Tam Nguyen, Ngoc Tran Lam, and Karl Aberer. Batc: a benchmark for aggregation techniques in crowdsourcing. In ACM SIGIR, pages 1079-1080. ACM, 2013.
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  • 12
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    • Correcting noisy data
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    • On the characterization of noise filters for self-training semi-supervised in nearest neighbor classification
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    • Whose vote should count more: Optimal integration of labels from labelers of unknown expertise
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.