Faculty profile
HADI HEMMATI
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Research
Latest papers
A domain adaptation benchmark for T1-weighted brain magnetic resonance image segmentation
Frontiers in Neuroinformatics · 2022 · senior author
Latest funding
- $210,000
Program Behavior Representation Learning for Software Testing
NSERC · 2020 · Principal investigator
1 publications.
A domain adaptation benchmark for T1-weighted brain magnetic resonance image segmentation
Program Behavior Representation Learning for Software Testing
Principal investigators: HEMMATI, HADI
Keywords: software testing; sequence learning; behavior coverage; automated software engineering; deep learning; diversification; machine learning; representation learning; generative models; test case generation
From CIHR, NSERC and SSHRC funding decisions: CIHR since 2008, NSERC since 1991 and SSHRC since 1998, including their latest published competition results.
Frequent collaborators
- Hadi Hemmati and Roberto Souza: 1 shared paper
- Hadi Hemmati and HADI HEMMATI: 1 shared paper
- Roberto Souza and HADI HEMMATI: 1 shared paper
- Electrical Engineering & Computer Science
- Lassonde School of Engineering
- Electrical and Software Engineering
Co-authors at York University, colored by department. Thicker lines mean more shared papers; select anyone to open their profile and their own map.
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