Abstract The 2016–2018 National Invasive Species Council (NISC) Management Plan and
Executive Order 13751 call for US federal agencies to foster technology development and …

Astronomy is experiencing a rapid growth in data size and complexity. This change fosters
the development of data-driven science as a useful companion to the common model-driven …

The second edition of a comprehensive introduction to machine learning approaches used
in predictive data analytics, covering both theory and practice. Machine learning is often …

Measuring the morphological parameters of galaxies is a key requirement for studying their
formation and evolution. Surveys such as the Sloan Digital Sky Survey have resulted in the …

Tim Gowers is not your typical blogger. A mathematician at Cambridge University, Gowers is
a recipient of the highest honor in mathematics, the Fields Medal, often called the Nobel …

We present the data release for Galaxy Zoo 2 (GZ2), a citizen science project with more than
16 million morphological classifications of 304 122 galaxies drawn from the Sloan Digital …

Morphology is a powerful indicator of a galaxy's dynamical and merger history. It is strongly
correlated with many physical parameters, including mass, star formation history and the …

Foldit is a multiplayer online game in which players collaborate and compete to create
accurate protein structure models. For specific hard problems, Foldit player solutions can in …

In this paper, an improved version of the Grey Wolf Optimizer (GWO) is proposed to improve
the exploration and the exploitation ability of the GWO algorithm. This improvement is …

Most existing star-galaxy classifiers use the reduced summary information from catalogs,
requiring careful feature extraction and selection. The latest advances in machine learning …