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ORCIDAnna M. M. Scaife
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2020 – today
- 2024
[i14]Mike Walmsley, Micah Bowles, Anna M. M. Scaife, Jason Shingirai Makechemu, Alexander J. Gordon
, Annette M. N. Ferguson, Robert G. Mann, James Pearson, Jürgen J. Popp, Jo Bovy, Joshua S. Speagle, Hugh Dickinson, Lucy Fortson, Tobias Géron, Sandor Kruk, Chris J. Lintott, Kameswara Bharadwaj Mantha, Devina Mohan, David O'Ryan, Inigo V. Slijepcevic:
Scaling Laws for Galaxy Images. CoRR abs/2404.02973 (2024)- [i13]Devina Mohan, Anna M. M. Scaife:
Evaluating Bayesian deep learning for radio galaxy classification. CoRR abs/2405.18351 (2024) - 2023
- [j3]Mike Walmsley, Campbell Allen, Ben Aussel, Micah Bowles, Kasia Gregorowicz, Inigo Val Slijepcevic, Chris J. Lintott, Anna M. M. Scaife, Maja Jablonska, Kosio Karchev, Denise Lanzieri, Devina Mohan, David O'Ryan, Bharath Saiguhan, Crisel Suárez, Nicolás Guerra-Varas, Renuka Velu:
Zoobot: Adaptable Deep Learning Models for Galaxy Morphology. J. Open Source Softw. 8(87): 5312 (2023) - [i12]Fiona A. M. Porter, Anna M. M. Scaife:
MiraBest: A Dataset of Morphologically Classified Radio Galaxies for Machine Learning. CoRR abs/2305.11108 (2023) - [i11]Noe Dia, M. J. Yantovski-Barth, Alexandre Adam, Micah Bowles, Pablo Lemos, Anna M. M. Scaife, Yashar Hezaveh, Laurence Perreault Levasseur:
Bayesian Imaging for Radio Interferometry with Score-Based Priors. CoRR abs/2311.18012 (2023) - [i10]Mike Walmsley, Anna M. M. Scaife:
Rare Galaxy Classes Identified In Foundation Model Representations. CoRR abs/2312.02910 (2023) - 2022
- [i9]Devina Mohan, Anna M. M. Scaife, Fiona Porter, Mike Walmsley, Micah Bowles:
Quantifying Uncertainty in Deep Learning Approaches to Radio Galaxy Classification. CoRR abs/2201.01203 (2022) - [i8]Inigo V. Slijepcevic, Anna M. M. Scaife, Mike Walmsley, Micah Bowles, Ivy Wong, Stanislav S. Shabala, Hongming Tang:
Radio Galaxy Zoo: Using semi-supervised learning to leverage large unlabelled data-sets for radio galaxy classification under data-set shift. CoRR abs/2204.08816 (2022) - [i7]Mike Walmsley, Inigo Val Slijepcevic, Micah Bowles, Anna M. M. Scaife:
Towards Galaxy Foundation Models with Hybrid Contrastive Learning. CoRR abs/2206.11927 (2022) - [i6]Micah Bowles, Hongming Tang, Eleni Vardoulaki, Emma L. Alexander, Yan Luo, Lawrence Rudnick, Mike Walmsley, Fiona Porter, Anna M. M. Scaife, Inigo Val Slijepcevic, Gary Segal:
A New Task: Deriving Semantic Class Targets for the Physical Sciences. CoRR abs/2210.14760 (2022) - 2021
- [i5]Mike Walmsley, Anna M. M. Scaife, Chris J. Lintott, Michelle Lochner, Verlon Etsebeth, Tobias Géron, Hugh Dickinson, Lucy Fortson, Sandor Kruk, Karen L. Masters, Kameswara Bharadwaj Mantha, Brooke D. Simmons:
Practical Galaxy Morphology Tools from Deep Supervised Representation Learning. CoRR abs/2110.12735 (2021) - [i4]Inigo V. Slijepcevic, Anna M. M. Scaife:
Can semi-supervised learning reduce the amount of manual labelling required for effective radio galaxy morphology classification? CoRR abs/2111.04357 (2021) - [i3]Micah Bowles, Matthew Bromley, Max Allen, Anna M. M. Scaife:
E(2) Equivariant Self-Attention for Radio Astronomy. CoRR abs/2111.04742 (2021) - [i2]Devina Mohan, Anna M. M. Scaife:
Weight Pruning and Uncertainty in Radio Galaxy Classification. CoRR abs/2111.11654 (2021) - 2020
- [i1]Micah Bowles, Anna M. M. Scaife, Fiona Porter, Hongming Tang, David J. Bastien:
Attention-gating for improved radio galaxy classification. CoRR abs/2012.01248 (2020)
2010 – 2019
- 2019
- [j2]Luis Lucas, Tim D. Staley, Anna M. M. Scaife:
Efficient source finding for radio interferometric images. Astron. Comput. 27: 96-110 (2019) - [j1]C. J. Skipper, Anna M. M. Scaife, Jason D. McEwen:
Cleaning radio interferometric images using a spherical wavelet decomposition. Astron. Comput. 29: 100327 (2019)
Coauthor Index
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