activity
19942026
most citedThe Seventh Data Release of the Sloan Digital Sky Survey

5.4k citations · 19.2k across the 139 of their papers we have counts for

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Showing 2017Show all

8 papers · 1 filter

astro-ph.GA2017★ 71 cited

Painting galaxies into dark matter halos using machine learning

Shankar Agarwal, Romeel Davé, Bruce A. Bassett

We develop a machine learning (ML) framework to populate large dark matter-only simulations with baryonic galaxies. Our ML framework takes input halo properties including halo mass…

stat.ML2017

EDEN: Evolutionary Deep Networks for Efficient Machine Learning

Emmanuel Dufourq, Bruce A. Bassett

Deep neural networks continue to show improved performance with increasing depth, an encouraging trend that implies an explosion in the possible permutations of network architectur…

cs.NE2017

Text Compression for Sentiment Analysis via Evolutionary Algorithms

Emmanuel Dufourq, Bruce A. Bassett

Can textual data be compressed intelligently without losing accuracy in evaluating sentiment? In this study, we propose a novel evolutionary compression algorithm, PARSEC (PARts-of…

astro-ph.CO2017★ 65 cited

MeerKLASS: MeerKAT Large Area Synoptic Survey

Mario G. Santos, Michelle Cluver, Matt Hilton +35

We discuss the ground-breaking science that will be possible with a wide area survey, using the MeerKAT telescope, known as MeerKLASS (MeerKAT Large Area Synoptic Survey). The curr…

astro-ph.GA2017★ 72 cited

The MeerKAT International GHz Tiered Extragalactic Exploration (MIGHTEE) Survey

Matt J. Jarvis, A. R. Taylor, I. Agudo +54

The MIGHTEE large survey project will survey four of the most well-studied extragalactic deep fields, totalling 20 square degrees to Jy sensitivity at Giga-Hertz frequencies, as…

cs.NE2017★ 2 cited

Automated Problem Identification: Regression vs Classification via Evolutionary Deep Networks

Emmanuel Dufourq, Bruce A. Bassett

Regression or classification? This is perhaps the most basic question faced when tackling a new supervised learning problem. We present an Evolutionary Deep Learning (EDL) algorith…

astro-ph.CO2017★ 23 cited

zBEAMS: A unified solution for supernova cosmology with redshift uncertainties

Ethan Roberts, Michelle Lochner, José Fonseca +3

Supernova cosmology without spectra will be an important component of future surveys such as LSST. This lack of supernova spectra results in uncertainty in the redshifts which, if…

astro-ph.CO2017★ 593 cited

Age-dating Luminous Red Galaxies observed with the Southern African Large Telescope

A. L. Ratsimbazafy, S. I. Loubser, S. M. Crawford +4

We measure a value for the cosmic expansion of (stat) 44(syst) km s Mpc at a redshift of based on the differential age techniq…