Tanujit Chakraborty
Tanujit Chakraborty
Assistant Professor at Sorbonne University
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Real-time forecasts and risk assessment of novel coronavirus (COVID-19) cases: A data-driven analysis
T Chakraborty, I Ghosh
Chaos, Solitons & Fractals 135, 2020
Forecasting dengue epidemics using a hybrid methodology
T Chakraborty, S Chattopadhyay, I Ghosh
Physica A: Statistical Mechanics and its Applications 527, 2019
Unemployment rate forecasting: A hybrid approach
T Chakraborty, AK Chakraborty, M Biswas, S Banerjee, S Bhattacharya
Computational Economics 57, 183-201, 2021
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
Hellinger net: A hybrid imbalance learning model to improve software defect prediction
T Chakraborty, AK Chakraborty
IEEE Transactions on Reliability 70 (2), 481 - 494, 2020
Optimized ensemble deep learning framework for scalable forecasting of dynamics containing extreme events
A Ray, T Chakraborty, D Ghosh
Chaos: An Interdisciplinary Journal of Nonlinear Science 31, 111105, 2021
A novel distribution-free hybrid regression model for manufacturing process efficiency improvement
T Chakraborty, AK Chakraborty, S Chattopadhyay
Journal of Computational and Applied Mathematics 362, 130-142, 2019
Stochastic forecasting of COVID-19 daily new cases across countries with a novel hybrid time series model
A Bhattacharyya, T Chakraborty, SN Rai
Nonlinear Dynamics 107, 3025–3040, 2022
A nonparametric ensemble binary classifier and its statistical properties
T Chakraborty, AK Chakraborty, CA Murthy
Statistics & Probability Letters 149, 16-23, 2019
Nowcasting of COVID-19 confirmed cases: Foundations, trends, and challenges
T Chakraborty, I Ghosh, T Mahajan, T Arora
Modeling, Control and Drug Development for COVID-19 Outbreak Prevention 366, 2022
A hybrid regression model for water quality prediction
T Chakraborty, AK Chakraborty, Z Mansoor
Opsearch 56, 1167-1178, 2019
W-Transformers: A Wavelet-based Transformer Framework for Univariate Time Series Forecasting
L Sasal, T Chakraborty, A Hadid
International Conference on Machine Learning and Applications, 2022
Superensemble classifier for improving predictions in imbalanced datasets
T Chakraborty, AK Chakraborty
Communications in Statistics: Case Studies, Data Analysis and Applications 6 …, 2020
Epicasting: An ensemble wavelet neural network (ewnet) for forecasting epidemics
M Panja, T Chakraborty, U Kumar, N Liu
Neural Networks 165, 185-212, 2023
An ensemble neural network approach to forecast Dengue outbreak based on climatic condition
M Panja, T Chakraborty, SS Nadim, I Ghosh, U Kumar, N Liu
Chaos, Solitons & Fractals 167, 113-124, 2023
An integrated deterministic–stochastic approach for forecasting the long-term trajectories of COVID-19
I Ghosh, T Chakraborty
International Journal of Modeling, Simulation, and Scientific Computing 12 …, 2021
Ten years of generative adversarial nets (GANs): a survey of the state-of-the-art
T Chakraborty, UR KS, SM Naik, M Panja, B Manvitha
Machine Learning: Science and Technology 5 (1), 011001, 2024
Modified Lomax Model: A heavy-tailed distribution for fitting large-scale real-world complex networks
S Chattopadhyay, T Chakraborty, K Ghosh, AK Das
Social Network Analysis and Mining 11, 1-24, 2021
Uncovering patterns in heavy-tailed networks: A journey beyond scale-free
S Chattopadhyay, T Chakraborty, K Ghosh, AK Das
IKDD CODS-2021, 136-144, 2021
Knowledge-based Deep Learning for Modeling Chaotic Systems
Z Elabid, T Chakraborty, A Hadid
International Conference on Machine Learning and Applications, 2022
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