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 | 458 | 2020 |
Forecasting dengue epidemics using a hybrid methodology T Chakraborty, S Chattopadhyay, I Ghosh Physica A: Statistical Mechanics and its Applications 527, 2019 | 97 | 2019 |
Unemployment rate forecasting: A hybrid approach T Chakraborty, AK Chakraborty, M Biswas, S Banerjee, S Bhattacharya Computational Economics 57 (1), 183-201, 2021 | 71 | 2021 |
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 | 39 | 2020 |
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 | 37 | 2018 |
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 | 28 | 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 | 21 | 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 | 18 | 2022 |
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 | 18 | 2022 |
A nonparametric ensemble binary classifier and its statistical properties T Chakraborty, AK Chakraborty, CA Murthy Statistics & Probability Letters 149, 16-23, 2019 | 17 | 2019 |
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 | 15 | 2024 |
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, 113124, 2023 | 14 | 2023 |
A hybrid regression model for water quality prediction T Chakraborty, AK Chakraborty, Z Mansoor Opsearch 56, 1167-1178, 2019 | 14 | 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 | 13 | 2022 |
Epicasting: An ensemble wavelet neural network (ewnet) for forecasting epidemics M Panja, T Chakraborty, U Kumar, N Liu Neural Networks 165, 185-212, 2023 | 10 | 2023 |
Superensemble classifier for improving predictions in imbalanced datasets T Chakraborty, AK Chakraborty Communications in Statistics: Case Studies, Data Analysis and Applications 6 …, 2020 | 10 | 2020 |
Knowledge-based Deep Learning for Modeling Chaotic Systems Z Elabid, T Chakraborty, A Hadid International Conference on Machine Learning and Applications, 2022 | 6 | 2022 |
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 | 6 | 2021 |
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 | 5 | 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 | 5 | 2021 |