43 citations · 131 across the 8 of their papers we have counts for
3 papers · 1 filter
Combining astrophysical datasets with CRUMB
Fiona A. M. Porter, Anna M. M. Scaife
At present, the field of astronomical machine learning lacks widely-used benchmarking datasets; most research employs custom-made datasets which are often not publicly released, ma…
MiraBest: A Dataset of Morphologically Classified Radio Galaxies for Machine Learning
Fiona A. M. Porter, Anna M. M. Scaife
The volume of data from current and future observatories has motivated the increased development and application of automated machine learning methodologies for astronomy. However,…
Radio Galaxy Zoo EMU: Towards a Semantic Radio Galaxy Morphology Taxonomy
Micah Bowles, Hongming Tang, Eleni Vardoulaki +20
We present a novel natural language processing (NLP) approach to deriving plain English descriptors for science cases otherwise restricted by obfuscating technical terminology. We…