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Scaife, Anna M M
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1

E(2)-equivariant features in machine learning for morpholog..:

Lines, Natalie E P ; Roset, Joan Font-Quer ; Scaife, Anna M M
RAS Techniques and Instruments.  , 2024
Link: https://doi.org/10.1093/..
 
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2

MiraBest: a data set of morphologically classified radio ga..:

Porter, Fiona A M ; Scaife, Anna M M
RAS Techniques and Instruments.  2 (2023)  1 - p. 293-306 , 2023
Link: https://doi.org/10.1093/..
 
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3

Galaxy Zoo DESI: Detailed morphology measurements for 8.7M ..:

Walmsley, Mike ; Géron, Tobias ; Kruk, Sandor...
Monthly Notices of the Royal Astronomical Society.  526 (2023)  3 - p. 4768-4786 , 2023
Link: https://doi.org/10.1093/..
 
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4

Zoobot: Adaptable Deep Learning Models for GalaxyMorphology:

Walmsley, Mike ; Allen, Campbell ; Aussel, Ben...
Journal of Open Source Software.  8 (2023)  85 - p. 5312 , 2023
Link: https://doi.org/10.21105..
 
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5

Radio galaxy zoo EMU: towards a semantic radio galaxy morph..:

Bowles, Micah ; Tang, Hongming ; Vardoulaki, Eleni...
Monthly Notices of the Royal Astronomical Society.  522 (2023)  2 - p. 2584-2600 , 2023
Link: https://doi.org/10.1093/..
 
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6

Radio galaxy zoo: towards building the first multipurpose f..:

Slijepcevic, Inigo V ; Scaife, Anna M M ; Walmsley, Mike...
RAS Techniques and Instruments.  3 (2023)  1 - p. 19-32 , 2023
Link: https://doi.org/10.1093/..
 
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7

Quantifying uncertainty in deep learning approaches to radi..:

Mohan, Devina ; Scaife, Anna M M ; Porter, Fiona..
Monthly Notices of the Royal Astronomical Society.  511 (2022)  3 - p. 3722-3740 , 2022
Link: https://doi.org/10.1093/..
 
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8

CS-ROMER: a novel compressed sensing framework for Faraday ..:

Cárcamo, Miguel ; Scaife, Anna M M ; Alexander, Emma L.
Monthly Notices of the Royal Astronomical Society.  518 (2022)  2 - p. 1955-1974 , 2022
Link: https://doi.org/10.1093/..
 
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9

Radio Galaxy Zoo: using semi-supervised learning to leverag..:

Slijepcevic, Inigo V ; Scaife, Anna M M ; Walmsley, Mike...
Monthly Notices of the Royal Astronomical Society.  514 (2022)  2 - p. 2599-2613 , 2022
Link: https://doi.org/10.1093/..
 
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10

A GPU-based Imager with Polarised Primary-beam Correction:

, In: 2022 3rd URSI Atlantic and Asia Pacific Radio Science Meeting (AT-AP-RASC),
Skipper, Chris J. ; Scaife, Anna M. M. ; Leahy, J. Patrick - p. 1-4 , 2022
Link: https://doi.org/10.23919..
 
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11

Practical galaxy morphology tools from deep supervised repr..:

Walmsley, Mike ; Scaife, Anna M M ; Lintott, Chris...
Monthly Notices of the Royal Astronomical Society.  513 (2022)  2 - p. 1581-1599 , 2022
Link: https://doi.org/10.1093/..
 
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12

RAS techniques and instruments:

Tennyson, Jonathan ; Scaife, Anna M M
RAS Techniques and Instruments.  1 (2022)  1 - p. 1-2 , 2022
Link: https://doi.org/10.1093/..
 
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13

Fanaroff–Riley classification of radio galaxies using group..:

Scaife, Anna M M ; Porter, Fiona
Monthly Notices of the Royal Astronomical Society.  503 (2021)  2 - p. 2369-2379 , 2021
Link: https://doi.org/10.1093/..
 
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14

Structured variational inference for simulating populations..:

Bastien, David J ; Scaife, Anna M M ; Tang, Hongming..
Monthly Notices of the Royal Astronomical Society.  503 (2021)  3 - p. 3351-3370 , 2021
Link: https://doi.org/10.1093/..
 
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15

Attention-gating for improved radio galaxy classification:

Bowles, Micah ; Scaife, Anna M M ; Porter, Fiona..
Monthly Notices of the Royal Astronomical Society.  501 (2020)  3 - p. 4579-4595 , 2020
Link: https://doi.org/10.1093/..
 
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