33 citations · 91 across the 17 of their papers we have counts for
Showing 2019Show all
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astro-ph.HE2019★ 5 cited
Gamma-ray Bursts as distance indicators through a machine learning approach
Maria Dainotti, Vahé Petrosian, Malgorzata Bogdan +7
Gamma-ray bursts (GRBs) are spectacularly energetic events, with the potential to inform on the early universe and its evolution, once their redshifts are known. Unfortunately, det…
astro-ph.IM2019★ 12 cited
Automatic Kalman-Filter-based Wavelet Shrinkage Denoising of 1D Stellar Spectra
Sankalp Gilda, Zachary Slepian
We propose a non-parametric method to denoise 1D stellar spectra based on wavelet shrinkage followed by adaptive Kalman thresholding. Wavelet shrinkage denoising involves applying…
astro-ph.IM2019★ 1 cited
Feature Selection for Better Spectral Characterization or: How I Learned to Start Worrying and Love Ensembles
Sankalp Gilda
An ever-looming threat to astronomical applications of machine learning is the danger of over-fitting data, also known as the `curse of dimensionality.' This occurs when there are…