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Author/Creator Lochner, Michelle

1. Bayesian Inference for Radio Observations - Going beyond deconvolution. Issue Volume 10:Issue S306(2014) (1st July 2015)

Authors:
Lochner, Michelle; Bassett, Bruce; Kunz, Martin; Natarajan, Iniyan; Oozeer, Nadeem; Smirnov, Oleg; Zwart, Jonathan
Editors:
Heavens, A. F.; Starck, J.-L.; Krone-Martins, A.
Journal:
Proceedings of the International Astronomical Union
Issue:
Volume 10:Issue S306(2014)
Page Start:
185
Record Type:
Journal Article
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Available online (eLD content is only available in our Reading Rooms) ↗

4. Practical galaxy morphology tools from deep supervised representation learning. Issue 2 (28th February 2022)

Authors:
Walmsley, Mike; Scaife, Anna M M; Lintott, Chris; Lochner, Michelle; Etsebeth, Verlon; Géron, Tobias; Dickinson, Hugh; Fortson, Lucy; Kruk, Sandor; Masters, Karen L; Mantha, Kameswara Bharadwaj; Simmons, Brooke D
Journal:
Monthly notices of the Royal Astronomical Society
Issue:
Volume 513:Issue 2(2022)
Page Start:
1581
Record Type:
Journal Article
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Available online (eLD content is only available in our Reading Rooms) ↗

6. Unsupervised machine learning for transient discovery in deeper, wider, faster light curves. Issue 3 (9th September 2020)

Authors:
Webb, Sara; Lochner, Michelle; Muthukrishna, Daniel; Cooke, Jeff; Flynn, Chris; Mahabal, Ashish; Goode, Simon; Andreoni, Igor; Pritchard, Tyler; Abbott, Timothy M C
Journal:
Monthly notices of the Royal Astronomical Society
Issue:
Volume 498:Issue 3(2020)
Page Start:
3077
Record Type:
Journal Article
View Content:
Available online (eLD content is only available in our Reading Rooms) ↗