Fortson, Lucy
University of Minnesota
5 papers on CoChatORCID 0000-0002-1067-8558
Most cited papers
- Verified
Galaxy Zoo 2: detailed morphological classifications for 304 122 galaxies from the Sloan Digital Sky Survey
Willett, K. W., Lintott, C. J., Bamford, S. P., Masters, K. L., Simmons, B. D., Casteels, K. R. V., Edmondson, E. M., Fortson, L. F., Kaviraj, S., Keel, W. C., et al. (2013) · Monthly Notices of the Royal Astronomical Society
Galaxies: Formation, Evolution, PhenomenaStellar, planetary, and galactic studies
Cited by 659
- Verified
Galaxy Zoo: probabilistic morphology through Bayesian CNNs and active learning
Walmsley, M., Smith, L., Lintott, C., Gal, Y., Bamford, S., Dickinson, H., Fortson, L., Kruk, S., Masters, K., Scarlata, C., et al. (2020) · Monthly Notices of the Royal Astronomical Society
Galaxies: Formation, Evolution, PhenomenaAdvanced Neural Network Applications
Cited by 160
- Verified
Practical Galaxy Morphology Tools from Deep Supervised Representation Learning
Walmsley, M., Scaife, A. M. M., Lintott, C., Lochner, M., Etsebeth, V., Géron, T., Dickinson, H., Fortson, L., Kruk, S., Masters, K. L., et al. (2021) · arXiv
Galaxies: Formation, Evolution, PhenomenaAdvanced Neural Network Applications
Cited by 64
- Verified
Citizen science, computing, and conservation: How can “Crowd AI” change the way we tackle large-scale ecological challenges?
Palmer, M. S., Huebner, S. E., Willi, M., Fortson, L., & Packer, C. (2021) · Human Computation
Wildlife Ecology and ConservationSpecies Distribution and Climate Change
Cited by 20
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Scaling Laws for Galaxy Images
Walmsley, M., Bowles, M., Scaife, A. M. M., Makechemu, J. S., Gordon, A. J., Ferguson, A. M. N., Mann, R. G., Pearson, J., Popp, J. J., Bovy, J., et al. (2024) · arXiv
Domain Adaptation and Few-Shot LearningAdvanced Neural Network Applications
Cited by 2
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