2 papers
astro-ph.SR2020
APOGEE Net: Improving the derived spectral parameters for young stars through deep learning
Richard Olney, Marina Kounkel, Chad Schillinger +6
Machine learning allows efficient extraction of physical properties from stellar spectra that have been obtained by large surveys. The viability of ML approaches has been demonstra…
q-bio.QM2018
Protein Mutation Stability Ternary Classification using Neural Networks and Rigidity Analysis
Richard Olney, Aaron Tuor, Filip Jagodzinski +1
Discerning how a mutation affects the stability of a protein is central to the study of a wide range of diseases. Machine learning and statistical analysis techniques can inform ho…