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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 2018Show all

9 papers · 1 filter

cs.LG2018★ 1 cited

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

Snehanshu Saha, Archana Mathur, Kakoli Bora +2

We explore the efficacy of using a novel activation function in Artificial Neural Networks (ANN) in characterizing exoplanets into different classes. We call this Saha-Bora Activat…

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…

cs.NI2018

ALVEC: Auto-scaling by Lotka Volterra Elastic Cloud: A QoS aware Non Linear Dynamical Allocation Model

Bidisha Goswami, Jyotirmoy Sarkar, Snehanshu Saha +2

Elasticity in resource allocation is still a relevant problem in cloud computing. There are many academic and white papers which have investigated the problem and offered solutions…

cs.DL2018

Time Reversed Delay Differential Equation Based Modeling Of Journal Influence In An Emerging Area

Poulami Sarkar, Snehanshu Saha, Archana Mathur +4

A recent independent study resulted in a ranking system which ranked Astronomy and Computing (ASCOM) much higher than most of the older journals highlighting its niche prominence.…

cs.DL2018

Use of NoSQL database and visualization techniques to analyze massive scholarly article data from journals

Gouri Ginde, Snehanshu Saha, Archana Mathur +3

Visualization of the massive data is a challenging endeavor. Extracting data and providing graphical representations can aid in its effective utilization in terms of interpretation…

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…

cs.DL2018

Model Visualization in understanding rapid growth of a journal in an emerging area

Snehanshu Saha, Poulami Sarkar, Archana Mathur +1

A recent independent study resulted in a ranking system which ranked Astronomy and Computing (ASCOM) much higher than most of the older journals highlighting the niche prominence o…

cs.DL2018

Genealogy tree: understanding academic lineage of authors via algorithmic and visual analysis

Sandra Anil, Abu Kurian, Sudeepa Roy Dey +2

Ancestry and genealogy tree are proven tools to determine the lineage of any person and establish dependencies among individuals. Genealogy tree can be exploited further to gain in…