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1 Ergebnisse
1
Machine Learning for Diversity and Inclusion: Addressing Bi..:
, In:
2024 5th International Conference on Recent Trends in Computer Science and Technology (ICRTCST)
,
Kumari, D. Anitha
;
Karim Shaikh, Irfan Abdul
;
Gangadharan, S.
... - p. 182-187 , 2024
Link:
https://doi.org/10.1109/ICRTCST61793.2024.10578442
RT T1 <cTitle>2024 5th International Conference on Recent Trends in Computer Science and Technology (ICRTCST)</cTitle>: T1 <Title>Machine Learning for Diversity and Inclusion: Addressing Biases in HR Practices</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10578442&Exemplar=1&LAN=DE A1 Kumari, D. Anitha A1 Karim Shaikh, Irfan Abdul A1 Gangadharan, S. A1 Narendra Kiran, P B A1 Ramya, S. R. A1 Nargunde, Amarja Satish YR 2024 K1 Training K1 Technological innovation K1 Machine learning algorithms K1 Employment K1 Resumes K1 Pipelines K1 Machine learning K1 Algorithmic Fairness K1 Bias Mitigation K1 Fairness Metrics K1 Diversity and Inclusion in Hiring K1 Ethical AI K1 Algorithmic Transparency K1 Ethical Data Collection K1 Inclusive Training Data K1 Bias Detection and Correction K1 Intersectionality in ML SP 182 OP 187 LK http://dx.doi.org/https://doi.org/10.1109/ICRTCST61793.2024.10578442 DO https://doi.org/10.1109/ICRTCST61793.2024.10578442 SF ELIB - SuUB Bremen
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