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Volumn , Issue PART 2, 2013, Pages 1362-1370

Learning fair representations

Author keywords

[No Author keywords available]

Indexed keywords

LEARNING SYSTEMS;

EID: 84897542525     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (851)

References (12)
  • 1
    • 77958063401 scopus 로고    scopus 로고
    • Three naive bayes approaches for discrimination-free classification
    • Calders, T. and Verwer, S. Three naive bayes approaches for discrimination-free classification. Data Mining and Knowledge Discovery, 21:277-292, 2010.
    • (2010) Data Mining and Knowledge Discovery , vol.21 , pp. 277-292
    • Calders, T.1    Verwer, S.2
  • 2
    • 84897505798 scopus 로고    scopus 로고
    • Privacy and classification concerns in online behavioral targeting: Mapping objections and sketching solutions
    • Dwork, C. and Mulligan, D. Privacy and classification concerns in online behavioral targeting: Mapping objections and sketching solutions. In Privacy law Scholars Conference, 2012.
    • Privacy Law Scholars Conference, 2012
    • Dwork, C.1    Mulligan, D.2
  • 9
    • 80052678955 scopus 로고    scopus 로고
    • k-NN as an implementation of situation testing for discrimination discovery and prevention
    • Luong, B., Ruggieri, S., and Turini, F. k-NN as an implementation of situation testing for discrimination discovery and prevention. In Proceedings of the 17th ACM KDD Conference, pp. 502-510, 2011.
    • (2011) Proceedings of the 17th ACM KDD Conference , pp. 502-510
    • Luong, B.1    Ruggieri, S.2    Turini, F.3
  • 12
    • 84865626862 scopus 로고    scopus 로고
    • Automated prediction: Perception, law, and policy
    • Zarsky, T. Automated prediction: Perception, law, and policy. CACM 15 (9), 2012.
    • (2012) CACM , vol.15 , Issue.9
    • Zarsky, T.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.