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Astronomy

Astronomy is the study of everything in the universe beyond Earth’s atmosphere. That includes objects we can see with our naked eyes, like the Sun, the Moon, the planets, and the stars. It also contains objects we can only see with telescopes or other instruments, like faraway galaxies and tiny particles. And it even includes questions about things we can't see, like dark matter and energy.

Papers

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Showing 376–395 of 395 papers

TitleStatusHype
Quantifying the Cognitive Extent of Science—0
Super-Resolution Off the Grid—0
Computational Intelligence Challenges and Applications on Large-Scale Astronomical Time Series Databases—0
Distributed image reconstruction for very large arrays in radio astronomy—0
Removing systematic errors for exoplanet search via latent causesCode0
ASTROMLSKIT: A New Statistical Machine Learning Toolkit: A Platform for Data Analytics in Astronomy—0
Contextualization of topics - browsing through terms, authors, journals and cluster allocations—0
Fast and optimal nonparametric sequential design for astronomical observations—0
An Effective Semi-supervised Divisive Clustering Algorithm—0
Variational Inference for Gaussian Process Modulated Poisson Processes—0
The Continuity of Images by Transmission Imaging Revisited—0
Feature Selection Strategies for Classifying High Dimensional Astronomical Data Sets—0
SKYNET: an efficient and robust neural network training tool for machine learning in astronomy—0
A Study on Classification in Imbalanced and Partially-Labelled Data Streams—0
Spectral Classification Using Restricted Boltzmann Machine—0
Active Learning of Model Evidence Using Bayesian Quadrature—0
Poisson noise reduction with non-local PCA—0
Photometric Redshift Error EstimatorsCode0
Optical Interferometry in AstronomyCode0
Very Fast EM-based Mixture Model Clustering using Multiresolution kd-trees—0
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