This profile is built from public research funding records (CIHR, NSERC and SSHRC). We have not imported them from a HEC Montréal directory, so their publications, courses and email address may be missing. Find their university profile.
Research
Latest funding
- $96,000
Algorithmic Fairness in Black-box Machine Learning Models
NSERC · 2021 · Principal investigator
- $12,500
Algorithmic Fairness in Black-box Machine Learning Models
NSERC · 2021 · Principal investigator
Algorithmic Fairness in Black-box Machine Learning Models
Principal investigators: Farnadi, Golnoosh
Keywords: machine learning; algorithmic discrmination; fairness in machine learning; trustworthy ai; black box models; explainable ai; causality; deep learning; robustness in ai; interpretable ai
Algorithmic Fairness in Black-box Machine Learning Models
Principal investigators: Farnadi, Golnoosh
From CIHR, NSERC and SSHRC funding decisions: CIHR since 2008, NSERC since 1991 and SSHRC since 1998, including their latest published competition results.
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