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Cited by 84Anomaly Detection Techniques and ApplicationsGalaxies: Formation, Evolution, PhenomenaAstronomical Observations and Instrumentation

Astronomaly: Personalised active anomaly detection in astronomical data

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Lochner, M., Bassett, B.A.·2021·Astronomy and Computing
DOI 10.1016/j.ascom.2021.100481
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  • The Astronomaly tool effectively combines active learning with anomaly detection to iteratively refine its predictions based on user feedback.

    “The Astronomaly tool [7] is a prominent example in astronomy, effectively combining active learning with anomaly detection to iteratively refine its predictions based on user feedback.”

    From AnomalyMatch: Discovering Rare Objects of Interest with Semi-supervised and Active Learning (2025) · cites this paper as [7]

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References 36 · Cited by 84

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Authors
Lochner, M., & Bassett, B. A.
Affiliations
African Institute for Mathematical Sciences (ZA)
Corresponding author
Lochner, M.
ORCID
Venue
Astronomy and Computing
Publisher
Elsevier BV
Published
2021-07
Volume
36
Pages
100481
ISSN
2213-1337 (ISSN-L)
DOI
10.1016/j.ascom.2021.100481
OpenAlex
W3093761498
Cited by
84
References
36
Citations by year
2026: 10 · 2025: 16 · 2024: 19 · 2023: 18 · 2022: 12 · 2021: 8 · 2020: 1
FWCI
5.04
Type
journal article
Language
en
Open access
Licence
Locations
  • Astronomy and Computing (acceptedVersion)
  • arXiv (Cornell University) (publishedVersion)
  • arXiv (Cornell University)
Funders
  • Kavli Foundation
  • University of California, Santa Cruz
  • National Science Foundation
  • Simons Foundation
  • National Research Foundation
Topics
  • Physical Sciences › Computer Science › Artificial Intelligence › Anomaly Detection Techniques and Applications
  • Physical Sciences › Physics and Astronomy › Astronomy and Astrophysics › Galaxies: Formation, Evolution, Phenomena
  • Physical Sciences › Engineering › Computational Mechanics › Astronomical Observations and Instrumentation
Keywords
active learning (machine learning), anomaly detection, personalized recommendation, astronomical data, Galaxy Zoo, light curves, celestial imagery, spectrum, Vera C. Rubin Observatory, Square Kilometre Array

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