1 citations · 3 across the 3 of their papers we have counts for
5 papers
A Compounded Burr Probability Distribution for Fitting Heavy-Tailed Data with Applications to Biological Networks
Tanujit Chakraborty, Swarup Chattopadhyay, Suchismita Das +2
Complex biological networks, encompassing metabolic pathways, gene regulatory systems, and protein-protein interaction networks, often exhibit scale-free structures characterized b…
SANGEET: A XML based Open Dataset for Research in Hindustani Sangeet
Chandan Misra, Swarup Chattopadhyay
It is very important to access a rich music dataset that is useful in a wide variety of applications. Currently, available datasets are mostly focused on storing vocal or instrumen…
Community Structure aware Embedding of Nodes in a Network
Swarup Chattopadhyay, Debasis Ganguly
Detecting communities or the modular structure of real-life networks (e.g. a social network or a product purchase network) is an important task because the way a network functions…
Modified Lomax Model: A heavy-tailed distribution for fitting large-scale real-world complex networks
Swarup Chattopadhyay, Tanujit Chakraborty, Kuntal Ghosh +1
Real-world networks are generally claimed to be scale-free, meaning that the degree distributions follow the classical power-law, at least asymptotically. Yet, closer observation s…
A novel distribution-free hybrid regression model for manufacturing process efficiency improvement
Tanujit Chakraborty, Ashis Kumar Chakraborty, Swarup Chattopadhyay
This work is motivated by a particular problem of a modern paper manufacturing industry, in which maximum efficiency of the fiber-filler recovery process is desired. A lot of unwan…