most citedThe Milky Way Project: Leveraging Citizen Science and Machine Learning to Detect Interstellar Bubbles

54 citations · 54 across the 1 of their papers we have counts for

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1 paper

astro-ph.GA2014★ 54 cited

The Milky Way Project: Leveraging Citizen Science and Machine Learning to Detect Interstellar Bubbles

Christopher Beaumont, Alyssa Goodman, Jonathan Williams +2

We present Brut, an algorithm to identify bubbles in infrared images of the Galactic midplane. Brut is based on the Random Forest algorithm, and uses bubbles identified by >35,000…