Identifying gender bias in blockbuster movies through the lens of machine learning

Muhammad Junaid Haris, Aanchal Upreti, Melih Kurtaran, Filip Ginter, Sébastien Lafond, Sepinoud Azimi

Information Technology

Research output: Contribution to journal › Article › Scientific › peer-review

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EDISS: EMJMD Programme on the Engineering of Data-intensive Intelligent Software Systems
Lafond, S. (Principal Investigator), Azimi Rashti, S. (Principal Investigator), Lilius, J. (Co-Principal Investigator), Strömborg, M. (Coordinator) & Iancu, B. (Co-Investigator)
Education, Audiovisual and Culture Executive Agency - European Commission
01/09/20 → 31/08/26
Project: EU