Amanda Muyskens

A comparison of statistical and machine learning methods for creating national daily maps of ambient PM2.5 concentration

Veronica J. Berrocal, Yawen Guan, Amanda Muyskens et al. · Atmospheric Environment · 2019 · 92 citations · Full text

Ambient Pm2.5 Concentration, Environmental Monitoring, Machine Learning Methods +10

Star–Galaxy Image Separation with Computationally Efficient Gaussian Process Classification

Amanda Muyskens, Imene Goumiri, Benjamin W. Priest et al. · The Astronomical Journal · 2022 · 15 citations · Full text

Optical Telescope Images, Geometric Learning, Source Separation +18

Multi-element effects on arsenate accumulation in a geochemical matrix determined using µ-XRF, µ-XANES and spatial statistics

Aakriti Sharma, Amanda Muyskens, Joseph Guinness et al. · Journal of Synchrotron Radiation · 2019 · 12 citations · Full text

Gaussian Process Classification for Galaxy Blend Identification in LSST

J. Buchanan, M. Schneider, R. Armstrong et al. · The Astrophysical Journal · 2022 · 10 citations · Full text

Bayesian calibration of strength model parameters from Taylor impact data

David F. Rivera, Jason Bernstein, Kathleen Schmidt et al. · Computational Materials Science · 2021 · 10 citations · Full text

Parameter Estimation, Bayesian Calibration, Engineering +9