activity
20202025
most citedAttention-gating for improved radio galaxy classification

42 citations · 110 across the 17 of their papers we have counts for

collaborators
Showing astro-ph.GAShow all

7 papers · 1 filter

astro-ph.GA2025

Radio Galaxy Zoo EMU: Harnessing Citizen Science and AI to Advance Open Science Catalogues

Eleni Vardoulaki, Hongming Tang, Micah Bowles +10

Over the past decades, significant efforts have been devoted to developing sophisticated algorithms for automatically identifying and classifying radio sources in large surveys. Ho…

astro-ph.GA2025

Radio Galaxy Zoo: Morphological classification by Fanaroff-Riley designation using self-supervised pre-training

Nutthawara Buatthaisong, Inigo Val Slijepcevic, Anna M. M. Scaife +5

In this study, we examine over 14,000 radio galaxies finely selected from Radio Galaxy Zoo (RGZ) project and provide classifications for approximately 5,900 FRIs and 8,100 FRIIs. W…

astro-ph.GA2023★ 11 cited

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…

astro-ph.GA2022★ 2 cited

Learning useful representations for radio astronomy "in the wild" with contrastive learning

Inigo Val Slijepcevic, Anna M. M. Scaife, Mike Walmsley +1

Unknown class distributions in unlabelled astrophysical training data have previously been shown to detrimentally affect model performance due to dataset shift between training and…

astro-ph.GA2022★ 1 cited

Radio Galaxy Zoo: Using semi-supervised learning to leverage large unlabelled data-sets for radio galaxy classification under data-set shift

Inigo V. Slijepcevic, Anna M. M. Scaife, Mike Walmsley +4

In this work we examine the classification accuracy and robustness of a state-of-the-art semi-supervised learning (SSL) algorithm applied to the morphological classification of rad…

astro-ph.GA2021★ 42 cited

Attention-gating for improved radio galaxy classification

Micah Bowles, Anna M. M. Scaife, Fiona Porter +2

In this work we introduce attention as a state of the art mechanism for classification of radio galaxies using convolutional neural networks. We present an attention-based model th…

astro-ph.GA2020★ 1 cited

Interactions among intermediate redshift galaxies. The case of SDSSJ134420.86+663717.8

Persis Misquitta, Micah Bowles, Andreas Eckart +4

We present the properties of the central supermassive black holes and the host galaxies of the interacting object SDSSJ134420.86+663717.8. We obtained optical long slit spectroscop…