Research output per year
Research output per year
Personal profile
Overview
I work on applying deep learning research breakthroughs to astrophysical problems. Please see www.walmsley.dev, my personal website, for more.
You can reach me at michael.walmsley@manchester.ac.uk.
Areas of expertise
- QB Astronomy
- QA75 Electronic computers. Computer science
Research Beacons, Institutes and Platforms
- Digital Futures
Keywords
- Deep Learning
- Machine Learning
- Galaxies
Fingerprint
Dive into the research topics where Michael Walmsley is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
- 1 Similar Profiles
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Galaxy Zoo DECaLS: Detailed visual morphology measurements from volunteers and deep learning for 314 000 galaxies
Walmsley, M., Lintott, C. J., Géron, T., Kruk, S., Krawczyk, C., Willett, K. W., Bamford, S., Kelvin, L. S., Fortson, L., Gal, Y., Keel, W., Masters, K. L., Mehta, V., Simmons, B. D., Smethurst, R., Smith, L., Baeten, E. M. & Macmillan, C., 1 Jan 2022, In: Monthly Notices of the Royal Astronomical Society. 509, 3, p. 3966-3988 23 p.Research output: Contribution to journal › Article › peer-review
Open Access -
Practical galaxy morphology tools from deep supervised representation learning
Walmsley, M., Scaife, A. M. M., Lintott, C. J., Lochner, M., Etsebeth, V., Géron, T., Dickinson, H., Fortson, L., Kruk, S., Masters, K. L., Mantha, K. B. & Simmons, B. D., 1 Jun 2022, In: Monthly Notices of the Royal Astronomical Society. 513, 2, p. 1581-1599 19 p.Research output: Contribution to journal › Article › peer-review
Open Access -
Quantifying the poor purity and completeness of morphological samples selected by galaxy colour
Smethurst, R. J., Masters, K. L., Simmons, B. D., Garland, I. L., Géron, T., Häußler, B., Kruk, S., Lintott, C. J., O’Ryan, D. & Walmsley, M., 1 Mar 2022, In: Monthly Notices of the Royal Astronomical Society. 510, 3, p. 4126-4133 8 p.Research output: Contribution to journal › Article › peer-review
Open Access -
Radio Galaxy Zoo: using semi-supervised learning to leverage large unlabelled data sets for radio galaxy classification under data set shift
Slijepcevic, I. V., Scaife, A. M. M., Walmsley, M., Bowles, M., Wong, O. I., Shabala, S. S. & Tang, H., 1 Aug 2022, In: Monthly Notices of the Royal Astronomical Society. 514, 2, p. 2599-2613 15 p.Research output: Contribution to journal › Article › peer-review
Open Access -
Cloud Exploration: A new tool for measuring galaxy substructures and a comprehensive census of giant star-forming clumps.
Dickinson, H. J., Adams, D. T., Fortson, L., Lintott, C. J., Mehta, V., Rafelski, M., Scarlata, C., Simmons, B. D. & Walmsley, M., Jun 2019Research output: Other contribution › peer-review
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RAI: Centre for Robotics and Artificial Intelligence
Cangelosi, A., Lennox, B., Weightman, A., Dennis, L., Dixon, C., Fisher, M., Herrmann, G., Dickson, A., Lanzon, A., Stancu, A., Saiani, A., Freitas, A., Nini, A., Voronkov, A., Brass, A., Vijayaraghavan, A., Parslew, B., crowther, W., Grieve, B., Adorno, B., Jay, C., Wang, C. C. L., Todd, C., Soutis, C., Arsene, C., Dresner, D., Barrett, E., Gowen, E., Arvin, F., Podd, F., Brown, G., Reger, G., Cooper, G., Mairs, H., Yin, H., Kinloch, I., Eleftheriou, I., Li, J., Carrasco Gomez, J., Ainsworth, J., Sinha, J., Ozanyan, K., Smith, K., Twomey, K., Margetts, L., Ren, L., Zhang, L., Cordeiro, L., Rattray, M., Bissett, M., Elliot, M., Alvarez, M., Luján, M., Nabawy BSc, MSc, PhD, MRAeS, SMAIAA, FHEA, M., Peek, N., Marjanovic, O., Dorn, O., Dudek, P., Green, P., Connolly, P., Da Silva Bartolo, P. J., Gardner, P., Martin, P., Potluri, V., Curtis, R., Schmidt, R., Banach, R., Batista-Navarro, R. T., Kaski, S., Midson, S., Watson, S., Holm, S., Furber, S., Schlegel, V., Mirihanage, W., Mansell, W., Pan, W., Sampson, W., Sellers, W., Yang, W., Cai, P., Sun, Y., Alharthi, A., Macario Rojas, A., Serhan, B., Yu, C., Abara, D., Lopez Pulgarin, E., Faruq, F., Tavella, F., Semeraro, F., Liu, G., Fang, G., Niu, H., Taylor, H., Zhu, H., Collenette, J., Amano, K., Lo, K. C. J., Raggioli, L., Romeo, M., Ruocco, M., Ghaffari Saadat, M., Walmsley, M., Mubarik, A., Vinanzi, S., Su, Y., Mcaleese, H., Stringer, P., Stoican, R., Ye, R., Kurawa, S. S., Zhang, T., Krywonos, W., Xu, Y., Tian, Y., Henderson, A., Morley, D., Tallentire, J., Clayton, J., Hawthornthwaite, S., Carlson, J. & Baniqued, P. D.
Project: Research
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Datasets
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Galaxy Zoo DECaLS: Detailed Visual Morphology Measurements from Volunteers and Deep Learning for 314,000 Galaxies
Walmsley, M. (Creator), Lintott, C. (Contributor), Tobias, G. (Contributor), Kruk, S. (Contributor), Krawczyk, C. (Contributor), Willett, K. (Contributor), Bamford, S. (Contributor), Kelvin, L. S. (Contributor), Fortson, L. (Contributor), Gal, Y. (Contributor), Keel, W. (Contributor), Masters, K. (Contributor), Mehta, V. (Contributor), Simmons, B. (Contributor), Smethurst, R. (Contributor), Smith, L. (Contributor), Baeten, E. (Contributor) & Macmillan, C. (Contributor), Zenodo, 29 Dec 2020
DOI: 10.5281/zenodo.4573248, https://zenodo.org/record/4573248
Dataset