Estimating Multi-label Accuracy using Labelset Distributions

no code implementations • 9 Sep 2022 • Laurence A. F. Park, Jesse Read

In this article we estimate the expected accuracy as a surrogate for confidence, for a given accuracy metric.

Decision Making

New Optically Identified Supernova Remnants in the Large Magellanic Cloud

no code implementations • 28 Oct 2020 • Miranda Yew, Miroslav D. Filipović, Milorad Stupar, Sean D. Points, Manami Sasaki, Pierre Maggi, Frank Haberl, Patrick J. Kavanagh, Quentin A. Parker, Evan J. Crawford, Branislav Vukotić, Dejan Urošević, Hidetoshi Sano, Ivo R. Seitenzahl, Gavin Rowell, Denis Leahy, Luke M. Bozzetto, Chandreyee Maitra, Howard Leverenz, Jeffrey L. Payne, Laurence A. F. Park, Rami Z. E. Alsaberi, Thomas G. Pannuti

We present a new optical sample of three Supernova Remnants and 16 Supernova Remnant (SNR) candidates in the Large Magellanic Cloud(LMC).

High Energy Astrophysical Phenomena Astrophysics of Galaxies

Radio Galaxy Zoo: Unsupervised Clustering of Convolutionally Auto-encoded Radio-astronomical Images

no code implementations • 7 Jun 2019 • Nicholas O. Ralph, Ray P. Norris, Gu Fang, Laurence A. F. Park, Timothy J. Galvin, Matthew J. Alger, Heinz Andernach, Chris Lintott, Lawrence Rudnick, Stanislav Shabala, O. Ivy Wong

Our results demonstrate this method is capable of accurately separating outliers on a SOM with neighbourhood similarity and K-means clustering of radio-astronomical features complexity.

BIG-bench Machine Learning Clustering +1