Florent Avellaneda, Université du Québec à Montréal

Research

Read how they describe their research on their Université du Québec à Montréal profile.

Latest funding

Towards a better use of decision trees for machine learning from small datasets
NSERC · 2023 · Principal investigator
$12,500
Towards a better use of decision trees for machine learning from small datasets
NSERC · 2023 · Principal investigator
$62,000

All 2 grants and awards

No publications available.

Towards a better use of decision trees for machine learning from small datasets

Principal investigatorNSERC2023Discovery Launch Supplement

Principal investigators: Avellaneda, Florent

$12,500

Towards a better use of decision trees for machine learning from small datasets

Principal investigatorNSERC2023Discovery Grants Program - Individual

Principal investigators: Avellaneda, Florent

Keywords: decision tree; small data; solomonoff's induction; maxsat; sat; explainability; bayes optimal classifier

$62,000

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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Mention their NSERC grant from 2023

Subject: Prospective PhD student Dear Professor Avellaneda, My name is [your name], and I am a [your current degree or role] at [your institution]. I am applying for a PhD position starting in [term and year]. Your research connects closely to my own work on [your research topic]. [One or two sentences on what you did and what you learned.] I also saw your NSERC-funded project "Towards a better use of decision trees for machine learning from small datasets" (2023), and I would be glad to contribute to work in that direction. Are you accepting new PhD students for [term and year]? I have attached my CV and transcripts, and I would be glad to talk at a time that suits you. Thank you for your time. Kind regards, [your name]