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20132023
most citedPredicting the direction of stock market prices using random forest

115 citations · 204 across the 30 of their papers we have counts for

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Showing astro-ph.IMShow all

5 papers · 1 filter

astro-ph.IM2022★ 2 cited

Investigation of a Machine learning methodology for the SKA pulsar search pipeline

Shashank Sanjay Bhat, Thiagaraj Prabu, Ben Stappers +4

The SKA pulsar search pipeline will be used for real time detection of pulsars. Modern radio telescopes such as SKA will be generating petabytes of data in their full scale of oper…

astro-ph.IM2019★ 24 cited

Evolution of Novel Activation Functions in Neural Network Training with Applications to Classification of Exoplanets

Snehanshu Saha, Nithin Nagaraj, Archana Mathur +1

We present analytical exploration of novel activation functions as consequence of integration of several ideas leading to implementation and subsequent use in habitability classifi…

astro-ph.IM2018

A Novel Exoplanetary Habitability Score via Particle Swarm Optimization of CES Production Functions

Abhijit Theophilus, Snehanshu Saha, Suryoday Basak +1

The search for life has two goals essentially: looking for planets with Earth-like conditions (Earth similarity) and looking for the possibility of life in some form (habitability)…

astro-ph.IM2018

Habitability Classification of Exoplanets: A Machine Learning Insight

Suryoday Basak, Surbhi Agrawal, Snehanshu Saha +4

We explore the efficacy of machine learning (ML) in characterizing exoplanets into different classes. The source of the data used in this work is University of Puerto Rico's Planet…

astro-ph.IM2018

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

Mohammed Viquar, Suryoday Basak, Ariruna Dasgupta +2

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 Sur…