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pro vyhledávání: '"Mobasher, Azadeh"'
Autor:
Doughty, Hazel, Karessli, Nour, Leonard, Kathryn, Li, Boyi, Martinez, Carianne, Mobasher, Azadeh, Nagrani, Arsha, Yadav, Srishti
In this paper we present the details of Women in Computer Vision Workshop - WiCV 2020, organized in alongside virtual CVPR 2020. This event aims at encouraging the women researchers in the field of computer vision. It provides a voice to a minority (
Externí odkaz:
http://arxiv.org/abs/2101.03787
Autor:
Trivedi, Anusua, Muppalla, Sreya, Pathak, Shreyaan, Mobasher, Azadeh, Janowski, Pawel, Dodhia, Rahul, Ferres, Juan M. Lavista
All datasets contain some biases, often unintentional, due to how they were acquired and annotated. These biases distort machine-learning models' performance, creating spurious correlations that the models can unfairly exploit, or, contrarily destroy
Externí odkaz:
http://arxiv.org/abs/2010.01485
Publikováno v:
In Computers & Industrial Engineering September 2015 87:260-266
Autor:
Mobasher, Azadeh, Ekici, Ali
Publikováno v:
In Computers and Operations Research January 2013 40(1):225-235