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  School of Electrical Engineering and Computer Science

Master's thesis presentation in Computer Science 2020

Wednesday 7 October at 10.00 (sharp)

Link to on-line presentation with Zoom

Leveraging Explainable Machine Learning to Raise Awareness among Preadolescents about Gender Bias in Supervised Learning.
Abstract   Thesis draft

Presenter:  Gaspar I. Melsión Pérez
Programmes:   Double Degree, CELTE    Course: DA239X
Supervisor:  Iolanda Leite
Examiner:  Jonas Beskow
Opponent:  Hampus Karlberg    (DA223X, examiner Carlo Fischione)

Session chair is Jonas Beskow