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Number of items: 5.

Nikolaou, Nikolaos, Waldmann, Ingo P., Tsiaras, Angelos, Morvan, Mario, Edwards, Billy, Yip, Kai Hou, Thompson, Alexandra, Tinetti, Giovanna, Sarkar, Subhajit, Dawson, James M., Borisov, Vadim, Kasneci, Gjergji, Petkovic, Matej, Stepisnik, Tomaz, Al-Ubaidi, Tarek, Bailey, Rachel Louise, Granitzer, Michael, Julka, Sahib, Kern, Roman, Ofner, Patrick, Wagner, Stefan, Heppe, Lukas, Bunse, Mirko, Morik, Katharina and Simões, Luís F. 2023. Lessons learned from the 1st Ariel Machine Learning Challenge: Correcting transiting exoplanet light curves for stellar spots. RAS Techniques and Instruments 2 (1) , pp. 695-709. 10.1093/rasti/rzad050

Dawson, James 2021. Exploring the use of Machine Learning with extragalactic emission-line surveys, in preparation for the Square Kilometre Array. PhD Thesis, Cardiff University.
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Dawson, James M., Davis, Timothy A. ORCID:, Gomez, Edward L. ORCID: and Schock, Justus 2021. A self-supervised, physics-aware, Bayesian neural network architecture for modelling galaxy emission-line kinematics. Monthly Notices of the Royal Astronomical Society 503 (1) , pp. 574-584. 10.1093/mnras/stab427

Dawson, James M., Davis, Timothy A. ORCID:, Gomez, Edward L. ORCID:, Schock, Justus, Zabel, Nikki and Williams, Thomas G. ORCID: 2020. Using machine learning to study the kinematics of cold gas in galaxies. Monthly Notices of the Royal Astronomical Society 491 (2) , pp. 2506-2519. 10.1093/mnras/stz3097

Aparicio Sanchez, Pablo ORCID:, Dawson, James A., Islam, M. Saiful and de Leeuw, Nora H. ORCID: 2018. A Computational study of NaVOPO4 polymorphs as cathode materials for Na-Ion batteries: Diffusion, electronic properties and cation doping behavior. Journal of Physical Chemistry C 122 (45) , pp. 25829-25836. 10.1021/acs.jpcc.8b07797

This list was generated on Fri Jul 12 11:33:55 2024 BST.