most citedClassifying Radio Galaxies with Convolutional Neural Network

144 citations · 222 across the 5 of their papers we have counts for

collaborators

5 papers

astro-ph.GA2024★ 7 cited

Automated Detection of Galactic Rings from SDSS Images

Linn Abraham, Sheelu Abraham, Ajit K. Kembhavi +4

Morphological features in galaxies, like spiral arms, bars, rings, tidal tails etc. carry information about their structure, origin and evolution. It is therefore important to cata…

astro-ph.IM2017★ 58 cited

Detection of Bars in Galaxies using a Deep Convolutional Neural Network

Sheelu Abraham, Arun Aniyan, Ajit K. Kembhavi +2

We present an automated method for the detection of bar structure in optical images of galaxies using a deep convolutional neural network which is easy to use and provides good acc…

astro-ph.IM2017★ 11 cited

Information Retrieval and Recommendation System for Astronomical Observatories

Nikhil Mukund, Saurabh Thakur, Sheelu Abraham +5

We present a machine learning based information retrieval system for astronomical observatories that tries to address user defined queries related to an instrument. In the modern i…

cs.DC2017★ 2 cited

TensorFlow Enabled Genetic Programming

Kai Staats, Edward Pantridge, Marco Cavaglia +2

Genetic Programming, a kind of evolutionary computation and machine learning algorithm, is shown to benefit significantly from the application of vectorized data and the TensorFlow…

astro-ph.IM2017★ 144 cited

Classifying Radio Galaxies with Convolutional Neural Network

Arun Aniyan, Kshitij Thorat

We present the application of deep machine learning technique to classify radio images of extended sources on a morphological basis using convolutional neural networks. In this stu…