2 citations · 2 across the 1 of their papers we have counts for
2 papers
cs.CL2021
WordBias: An Interactive Visual Tool for Discovering Intersectional Biases Encoded in Word Embeddings
Bhavya Ghai, Md Naimul Hoque, Klaus Mueller
Intersectional bias is a bias caused by an overlap of multiple social factors like gender, sexuality, race, disability, religion, etc. A recent study has shown that word embedding…
cs.CY2017★ 2 cited
Evaluating gender portrayal in Bangladeshi TV
Md. Naimul Hoque, Rawshan E Fatima, Manash Kumar Mandal +1
Computer Vision and machine learning methods were previously used to reveal screen presence of genders in TV and movies. In this work, using head pose, gender detection, and skin c…