26 citations · 32 across the 6 of their papers we have counts for
6 papers
Estimating Software Reliability Using Size-biased Modelling
Soumen Dey, Ashis Kumar Chakraborty
Software reliability estimation is one of the most active areas of research in software testing. Since time between failures (TBF) has often been challenging to record, software te…
Bayesian Neural Tree Models for Nonparametric Regression
Tanujit Chakraborty, Gauri Kamat, Ashis Kumar Chakraborty
Frequentist and Bayesian methods differ in many aspects, but share some basic optimal properties. In real-life classification and regression problems, situations exist in which a m…
Optimum Testing Time of Software using Size-Biased Concepts
Ashis Kumar Chakraborty, Parna Chatterjee, Poulami Chakraborty +1
Optimum software release time problem has been an interesting area of research for several decades now. We introduce here a new concept of size-biased modelling to solve for the op…
Superensemble Classifier for Improving Predictions in Imbalanced Datasets
Tanujit Chakraborty, Ashis Kumar Chakraborty
Learning from an imbalanced dataset is a tricky proposition. Because these datasets are biased towards one class, most existing classifiers tend not to perform well on minority cla…
A Nonparametric Ensemble Binary Classifier and its Statistical Properties
Tanujit Chakraborty, Ashis Kumar Chakraborty, C. A. Murthy
In this work, we propose an ensemble of classification trees (CT) and artificial neural networks (ANN). Several statistical properties including universal consistency and upper bou…
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…