SBAF: A New Activation Function for Artificial Neural Net based Habitability Classification

no code implementations • 6 Jun 2018 • Snehanshu Saha, Archana Mathur, Kakoli Bora, Surbhi Agrawal, Suryoday Basak

We explore the efficacy of using a novel activation function in Artificial Neural Networks (ANN) in characterizing exoplanets into different classes.

BIG-bench Machine Learning General Classification

Machine Learning in Astronomy: A Case Study in Quasar-Star Classification

no code implementations • 13 Apr 2018 • Mohammed Viquar, Suryoday Basak, Ariruna Dasgupta, Surbhi Agrawal, Snehanshu Saha

We present the results of various automated classification methods, based on machine learning (ML), of objects from data releases 6 and 7 (DR6 and DR7) of the Sloan Digital Sky Survey (SDSS), primarily distinguishing stars from quasars.

Astronomy BIG-bench Machine Learning +1

ASTROMLSKIT: A New Statistical Machine Learning Toolkit: A Platform for Data Analytics in Astronomy

no code implementations • 29 Apr 2015 • Snehanshu Saha, Surbhi Agrawal, Manikandan. R, Kakoli Bora, Swati Routh, Anand Narasimhamurthy

Astroinformatics is a new impact area in the world of astronomy, occasionally called the final frontier, where several astrophysicists, statisticians and computer scientists work together to tackle various data intensive astronomical problems.

Astronomy BIG-bench Machine Learning +1