This profile is built from public research funding records (CIHR, NSERC and SSHRC). We have not imported them from a University of Winnipeg directory, so their publications, courses and email address may be missing. Find their university profile.
Research
Latest funding
- $12,500
Optimization of data and their collection processes for machine learning applications in digital agriculture
NSERC · 2024 · Principal investigator
- $32,000
Optimization of data and their collection processes for machine learning applications in digital agriculture
NSERC · 2024 · Principal investigator
Optimization of data and their collection processes for machine learning applications in digital agriculture
Principal investigators: Beck, Michael
Keywords: supervised learning; deep convolutional neural networks; statistical learning; active learning; data size and valuation; learning curves; model exploration and selection; data management; model performance; information retrieval
Optimization of data and their collection processes for machine learning applications in digital agriculture
Principal investigators: Beck, Michael
Keywords: supervised learning; deep convolutional neural networks; statistical learning; active learning; data size and valuation; learning curves; model exploration and selection; data management; model performance; information retrieval
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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