Journal Publications
Please refer to Google Scholar Profile & RGate Profile for the complete list (including conferences & book chapters).
Please check GitHub repository for codes and datasets.
* Indicates Joint First Authors
Please refer to Google Scholar Profile & RGate Profile for the complete list (including conferences & book chapters).
Please check GitHub repository for codes and datasets.
* Indicates Joint First Authors
Published/Under Revision/Submitted:
- Panja, M.*, Chakraborty, T.*, Biswas, A., Deb, S. (2025+) E-STGCN: Extreme Spatiotemporal Graph Convolutional Networks for Air Quality Forecasting. Submitted. [Preprint | Code]
- Wang, X., Chakraborty, T., Chakraborty, B. (2025+) Bayesian Machine Learning for Estimating Optimal Dynamic Treatment Regimes with Ordinal Outcomes. Submitted. [Preprint | Code]
- Wang, Z., Lee, J. W., Chakraborty, T., Ning, Y., Liu, M., Feng, X., Ong, M. E. H., Liu, N. (2025+) Survival modeling using deep learning, machine learning and statistical methods: A comparative analysis for predicting mortality after hospital admission. Submitted. [Preprint | Code]
- Sadhukhan, P., Chakraborty, T. (2025+) Footprints of Data in a Classifier Model: The Privacy Issues and Their Mitigation through Data Obfuscation. Submitted. [Preprint]
- Shukla, PK., Chakraborty, T., Sari, M., Sarout, J., Mandal, PP. (2025+) Forecasting creep deformation behaviour of salt rock for energy storage applications: A deep learning and analytical approach. Submitted.
- Nareti, U.K., Gupta, D., Adak, C., Chattopadhyay, S., Riese, E., Agarwal, M., Kumar, S., Chakraborty, T. (2025+) Engineering Student Perceptions of Introductory CS Course Assessment in an Indian Setting. Submitted.
- Rakshit, A., Bandyopadhyay, G., Chakraborty, T., Biswas, S. (2025+) A Discrete Asymptotic Approximation Approach for Quantitative Analysis of Hedge Error. Submitted.
- Mukhiya, K., Luwang, SR., Nurujjaman, M., Chakraborty, T., Saha, S., Hens, C. (2025+) Universal Patterns in the Blockchain: Analysis of EOAs and Smart Contracts in ERC20 Token Networks. Submitted.
- Das, D., Panja, M., Ray, A., Radhakrishnan, A., Hens, C., Dana, S. K., Murukesh, N., Ghosh, D., Chakraborty, T.,(2025+) Forecasting Precipitation in Bear Island using Probabilistic Machine Learning Informed by Causal Climate Drivers. Submitted.
- Besher, D., Sengupta, A., Chakraborty, T. (2025+) Forecasting the US Climate Policy Uncertainty using Bayesian Machine Learning. Submitted.
- Barman, M., Panja, M., Mishra, N., Chakraborty, T. (2025) Epidemic-guided deep learning for spatiotemporal forecasting of Tuberculosis outbreak. Machine Learning. [Paper | Code]
- Liu, X., Deliu, N., Chakraborty, T., Bell, L., Chakraborty, B. (2025) Thompson sampling for zero-inflated count outcomes with an application to the Drink Less mobile health study. Annals of Applied Statistics, Vol. 19, pg. 1403-1425. [Paper | Code]
- Naik, S.M.*, Chakraborty, T.*, Panja, M., Hadid, A., Chakraborty, B. (2025) Skew Probabilistic Neural Networks for Learning from mbalanced Data. Pattern Recognition, Vol. 165 [Paper | Code]
- Banerjee, A., Gupta, S., Priyanshu, P., Kar, A., Saha, R., Chakraborty, T., Ghosh, D., Kurths, J., Hens, C. (2025) Recent Changes in Spatiotemporal Patterns of Heat Extremes in South Asia. npj Climate and Atmospheric Science. [Paper]
- Chakraborty, T., Chattopadhyay, S., Das, S., Naik, S.M., Hens, C. (2025) A Compounded Burr Probability Distribution for Fitting Heavy-Tailed Data with Applications to Biological Networks. Chaos, Vol. 35 [Paper | Code]
- Ghosh, A., Das, P., Chakraborty, T., Das, P., Ghosh, D. (2025) Developing cholera outbreak forecasting through qualitative dynamics: Insights into Malawi case study. Journal of Theoretical Biology, Vol. 605 [Paper | Code]
- Goswami, R., Garai, A., Sadhukhan, P., Ghosh, P., Chakraborty, T. (2025) Shape Penalized Decision Forests for Imbalanced Data Classification. IEEE Access, Vol. 13, pg. 86380-86395. [Paper | Python Package]
- Das, D., Radhakrishnan, A., Chakraborty, T., Ray, A., Hens, C., Dana, S. K., Ghosh, D., Murukesh, N. (2025) Pattern change of precipitation extremes in Svalbard. Scientific Reports, Vol. 15, pg. 1-13. [Paper]
- Sengupta, S.*, Chakraborty, T.*, Singh, S.K. (2024). Forecasting CPI inflation under economic policy and geo-political uncertainty. International Journal of Forecasting, Vol. 41, pg. 953-981. [Paper | Code]
- Borah, J.*, Chakraborty, T.*, Nadzir, M., Cayetano, M., Benedetto, F., Majumdar, S. (2024). A Novel Hybrid Approach For Efficiently Forecasting Air Quality Data. IEEE Sensor Letters, Vol. 9, pg. 1-4. [Paper | Code]
- Chakraborty, T., Reddy U., Naik, S.M., Panja, M., Manvitha, B. (2024). Ten Years of Generative Adversarial Nets (GANs): A survey of the state-of-the-art. Machine Learning: Science and Technology, Vol. 5, pg. 1-35. [Paper]
- Jakhmola, Y., Panja, M. Mishra, N.K., Ghosh, K., Kumar, U., Chakraborty, T. (2024). Spatiotemporal Forecasting of Traffic Flow using Wavelet-based Temporal Attention. IEEE Access, Vol. 12, pg. 188797-188812. [Paper | Code]
- Hadid, A.*, Chakraborty, T.*, Busby, D. (2024). When Geoscience Meets Generative AI and Large Language Models: Foundations, Trends, and Future Challenges. Expert Systems, Vol. 41, pg. 1-16. [Paper]
- Panja, M*., Chakraborty, T.*, Kumar, U., Liu, N. (2023). Epicasting: An Ensemble Wavelet Neural Network (EWNet) for Forecasting Epidemic. Neural Networks, Vol. 165, pg. 185-212. [Paper | Code | Medium Post | R Package]
- Chakraborty, T., Kamat, G., Chakraborty, A. K. (2023). Bayesian Neural Tree Models for Nonparametric Regression. Australian & New Zealand Journal of Statistics, Vol. 65, pg. 1-26. [Paper | Code]
- Panja, M*., Chakraborty, T.*, Nadim. Sk., Ghosh, I., Kumar, U., Liu, N. (2023). An ensemble neural network approach to forecast Dengue outbreak based on climatic condition. Chaos, Solitons & Fractals, Vol. 167, pg. 1-14. [Paper | Code]
- Thottolil, R., Kumar, U., Chakraborty, T. (2023). Prediction of Transportation Index for Urban Patterns in Small and Medium-sized Indian Cities using Hybrid RidgeGAN Model. Scientific Reports, Vol. 13, pg. 1-18. [Paper | Code]
- Bhattacharyya, A*., Chakraborty, T.*, Rai, S. N. (2022). Stochastic forecasting of COVID-19 daily new cases across countries with a novel hybrid time series model. Nonlinear Dynamics, Vol. 107, pg. 3025-3040. [Paper | Code]
- Chakraborty, T., Chattopadhyay, S., Das, S., Kumar, U., Jayavelu, S. (2022). Searching for heavy-tailed probability distributions for modeling real-world complex networks. IEEE Access, Vol. 10, 115092-115107. [Paper | Code]
- Chakraborty, T., Das, S., Chattopadhyay, S. (2022). A New Method for Generalizing Burr and Related Distributions. Mathematica Slovaca, Vol. 72, pg. 241-264. [Paper]
- Ray, A.*, Chakraborty, T.*, Ghosh, D. (2021). Optimized ensemble deep learning framework for scalable forecasting of dynamics containing extreme events. Chaos, Vol. 31, pg. 1-15. [Paper | Code]
- Chattopadhyay, S., Chakraborty, T., Ghosh, K., Das, A. K. (2021). Modified Lomax Model: A heavy-tailed distribution for fitting large-scale real-world complex networks. Social Network Analysis and Mining, Vol. 11, pg. 11-43. [Paper]
- Chakraborty, T., Chakraborty, A. K., Biswas, M., Banerjee, S., Bhattacharya, S. (2021). Unemployment Rate Forecasting: A Hybrid Approach. Computational Economics, Vol. 57, pg. 183-201. [Paper]
- Chakraborty, T., Ghosh, I. (2020). Real-time forecasts and risk assessment of novel coronavirus (COVID-19) cases: A data-driven analysis. Chaos, Solitons & Fractals, Vol. 135, pg. 1-10. [Paper | Code]
- Chakraborty, T., Chakraborty, A. K. (2020). Hellinger Net : A Hybrid Imbalance Learning Model to Improve Software Defect Prediction. IEEE Transactions on Reliability, Vol. 70, pg. 481-494. [Paper]
- Chakraborty, T., & Chattopadhyay, S., Chakraborty, A. K. (2020). Radial basis neural tree model for improving waste recovery process in a paper industry. Applied Stochastic Models in Business and Industry, Vol. 36, pg. 49-61. [Paper | Code]
- Chakraborty, T., Chakraborty, A. K. (2020). Superensemble classifier for improving predictions in imbalanced data sets. Communications in Statistics - Case Studies and Data Analysis, Vol. 6, pg. 123-141. [Paper]
- Chakraborty, T., Chattopadhyay, S., Ghosh, I. (2019). Forecasting dengue epidemics using a hybrid methodology. Physica A, Vol. 527, pg. 1-8. [Paper]
- Chakraborty, T., Chakraborty, A. K., Chattopadhyay, S. (2019). A novel distribution-free hybrid regression model for manufacturing process efficiency improvement. Journal of Computational and Applied Mathematics, Vol. 362, pg. 130-142. [Paper]
- Chakraborty, T., Chakraborty, A. K., Murthy, C. A. (2019). A nonparametric ensemble binary classifier and its statistical properties. Statistics & Probability Letters, Vol. 149, pg. 16-23. [Paper | Code]