Tanujit Chakraborty

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Indrajit GhoshResearch Scientist, Indian Institute of Technology BombayVerified email at isical.ac.in
Uttam KumarIIIT BangaloreVerified email at iiitb.ac.in
Madhurima PanjaCentre for Data Science, IIIT BangaloreVerified email at iiitb.ac.in
Abdenour HadidProfessor, Sorbonne Center for Artificial Intelligence (SCAI)Verified email at sorbonne.ae
Arinjita BhattacharyyaAssociate Principal Scientist, Merck, PhD Biostatistics, University of LouisvilleVerified email at merck.com
Shraddha M. NaikPostdoc Researcher, Khalifa University United Arab EmiratesVerified email at ku.ac.ae
Nan LIU, PhDDuke-NUS Medical SchoolVerified email at duke-nus.edu.sg
Dibakar GhoshProfessor of Applied Mathematics, Physics and Applied Mathematics Unit, Indian StatisticalVerified email at isical.ac.in
Arnob RayPostdoctoral Research Fellow at Northeastern UniversityVerified email at northeastern.edu
Kuntal GhoshMachine Intelligence Unit, Indian Statistical InstituteVerified email at isical.ac.in
Asit Kumar DasProfessor, Department of CST, IIEST Shibpur, HowrahVerified email at cs.iiests.ac.in
Suchismita DasAssistant Professor, S P Jain School of Global Management Mumbai CampusVerified email at spjain.org
CA MurthyProfessor, Machine Intelligence Unit, Indian Statistical Institute, IndiaVerified email at isical.ac.in
Shesh N RAIProfessor of Bioinformatics and Biostatistics, University of LouisvilleVerified email at Louisville.Edu
Sk Shahid NadimPostdoctoral Researcher, Fondazione Bruno Kessler, ItalyVerified email at fbk.eu
Payel SadhukhanAssistant Professor, The Neotia UniversityVerified email at tnu.in
Chittaranjan HensAssistant Professor, International Institute of Information Technology, HyderabadVerified email at iiit.ac.in
Bibhas ChakrabortyAssociate Professor, Duke-NUS Medical School, National University of SingaporeVerified email at duke-nus.edu.sg
Daniel BusbyTotal SAVerified email at total.com
Rahisha ThottolilInternational Institute of Information Technology, BangaloreVerified email at iiitb.org

Tanujit Chakraborty

Associate Professor at Sorbonne University

Verified email at sorbonne.ae - Homepage

Machine Learning Time Series Forecasting Econometrics Deep Learning


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
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	469	2020
Forecasting dengue epidemics using a hybrid methodology T Chakraborty, S Chattopadhyay, I Ghosh Physica A: Statistical Mechanics and its Applications 527, 2019	105	2019
Unemployment rate forecasting: A hybrid approach T Chakraborty, AK Chakraborty, M Biswas, S Banerjee, S Bhattacharya Computational Economics 57 (1), 183-201, 2021	78	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	46	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	39	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	30	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), 1-35, 2024	29	2024
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	23	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	20	2022
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	19	2023
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	19	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	19	2022
A nonparametric ensemble binary classifier and its statistical properties T Chakraborty, AK Chakraborty, CA Murthy Statistics & Probability Letters 149, 16-23, 2019	19	2019
Epicasting: An ensemble wavelet neural network (ewnet) for forecasting epidemics M Panja, T Chakraborty, U Kumar, N Liu Neural Networks 165, 185-212, 2023	14	2023
A hybrid regression model for water quality prediction T Chakraborty, AK Chakraborty, Z Mansoor Opsearch 56, 1167-1178, 2019	14	2019
Theta Autoregressive Neural Network: A Hybrid Time Series Model for Pandemic Forecasting A Bhattacharyya, S Chattopadhyay, M Pattnaik, T Chakraborty International Joint Conference on Neural Networks (IJCNN), 2021	11*	2021
Superensemble classifier for improving predictions in imbalanced datasets T Chakraborty, AK Chakraborty Communications in Statistics: Case Studies, Data Analysis and Applications 6 …, 2020	11	2020
Probabilistic AutoRegressive Neural Networks for Accurate Long-Range Forecasting M Panja, T Chakraborty, U Kumar, A Hadid International Conference on Neural Information Processing, 457-477, 2023	8*	2023
Knowledge-based Deep Learning for Modeling Chaotic Systems Z Elabid, T Chakraborty, A Hadid International Conference on Machine Learning and Applications, 2022	7	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	7*	2021

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