TANUJIT CHAKRABORTY
TANUJIT CHAKRABORTY
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TitleCited byYear
A novel hybridization of classification trees and artificial neural networks for selection of students in a business school
T Chakraborty, S Chattopadhyay, AK Chakraborty
Opsearch 55 (2), 434-446, 2018
92018
A nonparametric ensemble binary classifier and its statistical properties
T Chakraborty, AK Chakraborty, CA Murthy
Statistics & Probability Letters 149, 16-23, 2019
42019
A novel distribution-free hybrid regression model for manufacturing process efficiency improvement
T Chakraborty, AK Chakraborty, S Chattopadhyay
arXiv preprint arXiv:1804.08698, 2018
22018
Strong Universal Consistency and Rate of Convergence of Fast Trained Deep Feedforward Networks
T Chakraborty
Available at SSRN 3347109, 2019
2019
Forecasting dengue epidemics using a hybrid methodology
T Chakraborty, S Chattopadhyay, I Ghosh
Physica A: Statistical Mechanics and its Applications 527, 2019
2019
Superensemble Classifier for Improving Predictions in Imbalanced Datasets
T Chakraborty, AK Chakraborty
arXiv preprint arXiv:1810.11317, 2018
2018
Imbalanced Ensemble Classifier for learning from imbalanced business school data set
T Chakraborty
arXiv preprint arXiv:1805.12381, 2018
2018
A hybrid regression model for water quality prediction
T Chakraborty, AK Chakraborty, Z Mansoor
Radial basis neural tree model for improving waste recovery process in a paper industry
T Chakraborty, S Chattopadhyay
engrXiv, 0
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Articles 1–9