Tanujit Chakraborty

Publications by area

Area labels come from the current area page. A line that does not exact-match the bibliography is kept here and is not added to the publication counts.

Statistical Learning

  1. SM 2026

    Bayesian Machine Learning for Estimating Optimal Dynamic Treatment Regimes with Ordinal Outcomes

    Wang, X., Chakraborty, T., Chakraborty, B. Statistics in Medicine.

    Paper Code

  2. Sadhukhan, P., Chakraborty, T. (2025+) Footprints of Data in a Classifier Model: The Privacy Issues and Their Mitigation through Data Obfuscation.

    Preprint

  3. 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.

    Preprint Code
  4. AAS 2025

    Thompson sampling for zero-inflated count outcomes with an application to the Drink Less mobile health study

    Liu, X., Deliu, N., Chakraborty, T., Bell, L., Chakraborty, B. Annals of Applied Statistics.

    Paper R Package
  5. PR 2025

    Skew Probabilistic Neural Networks for Learning from Imbalanced Data

    Naik, S.M.*, Chakraborty, T., Panja, M., Hadid, A., Chakraborty, B. Pattern Recognition.

    Paper Code
  6. IEEE 2025

    Shape Penalized Decision Forests for Imbalanced Data Classification

    Goswami, R.*, Garai, A.*, Sadhukhan, P., Ghosh, P., Chakraborty, T. IEEE Access.

    Paper Python Package
  7. ANZJ 2023

    Bayesian Neural Tree Models for Nonparametric Regression

    Chakraborty, T., Kamat, G.*, Chakraborty, A. K. Australian & New Zealand Journal of Statistics.

    Paper Code
  8. IEEE 2020

    Hellinger Net: A Hybrid Imbalance Learning Model to Improve Software Defect Prediction

    Chakraborty, T., Chakraborty, A. K. IEEE Transactions on Reliability.

    Paper
  9. ASMB 2020

    Radial basis neural tree model for improving waste recovery process in a paper industry

    Chakraborty, T., & Chattopadhyay, S., Chakraborty, A. K. Applied Stochastic Models in Business and Industry.

    Paper Code
  10. CSCS 2020

    Superensemble classifier for improving predictions in imbalanced data sets

    Chakraborty, T., Chakraborty, A. K. Communications in Statistics - Case Studies and Data Analysis.

    Paper
  11. JCAM 2019

    A novel distribution-free hybrid regression model for manufacturing process efficiency improvement

    Chakraborty, T., Chakraborty, A. K., Chattopadhyay, S. Journal of Computational and Applied Mathematics.

    Best Paper Award
    Paper
  12. SPL 2019

    A nonparametric ensemble binary classifier and its statistical properties

    Chakraborty, T., Chakraborty, A. K., Murthy, C. A. Statistics & Probability Letters.

    Paper Code

Time Series Forecasting

  1. Chakraborty, T., Besher, D., Panja, M., Sengupta, S. (2025+) Neural ARFIMA model for forecasting BRIC exchange rates with long memory under oil shocks and policy uncertainties.

    Preprint Code R Package

  2. Besher, D., Sengupta, A., Chakraborty, T. (2025+) Forecasting the US Climate Policy Uncertainty using Bayesian Machine Learning.

    Preprint Code

  3. Panja, M., Das, D., 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.

  4. SR 2025

    Salt rock creep deformation forecasting using deep neural networks and analytical models for subsurface energy storage applications

    Shukla, P.K., Chakraborty, T., Sari, M., Sarout, J., Mandal, P.P. Scientific Reports.

    Paper
  5. JTB 2025

    Developing cholera outbreak forecasting through qualitative dynamics: Insights into Malawi case study

    Ghosh, A., Das, P., Chakraborty, T., Das, P., Ghosh, D. Journal of Theoretical Biology.

    Paper Code
  6. SR 2025

    Pattern change of precipitation extremes in Svalbard

    Das, D., Radhakrishnan, A., Chakraborty, T., Ray, A., Hens, C., Dana, S.K., Ghosh, D., Murukesh, N. Scientific Reports.

    Paper
  7. IJF 2024

    Forecasting CPI inflation under economic policy and geo-political uncertainty

    Sengupta, S.*, Chakraborty, T., Singh, S.K. International Journal of Forecasting.

    Paper Code
  8. IEEE 2024

    A Novel Hybrid Approach For Efficiently Forecasting Air Quality Data

    Borah, J., Chakraborty, T., Nadzir, M., Cayetano, M., Benedetto, F., Majumdar, S. IEEE Sensor Letters.

    Paper Code
  9. NN 2023

    Epicasting: An Ensemble Wavelet Neural Network (EWNet) for Forecasting Epidemics

    Panja, M., Chakraborty, T.*, Kumar, U., Liu, N. Neural Networks.

    Paper Code Medium Post R Package
  10. CSF 2023

    An ensemble neural network approach to forecast Dengue outbreak based on climatic condition

    Panja, M., Chakraborty, T., Nadim. Sk., Ghosh, I., Kumar, U., Liu, N. Chaos, Solitons & Fractals.

    Paper Code
  11. ND 2022

    Stochastic forecasting of COVID-19 daily new cases across countries with a novel hybrid time series model

    Bhattacharyya, A., Chakraborty, T., Rai, S. N. Nonlinear Dynamics.

    Paper Code
  12. C 2021

    Optimized ensemble deep learning framework for scalable forecasting of dynamics containing extreme events

    Ray, A., Chakraborty, T., Ghosh, D. Chaos.

    Paper Code
  13. CE 2021

    Unemployment Rate Forecasting: A Hybrid Approach

    Chakraborty, T., Chakraborty, A. K., Biswas, M., Banerjee, S., Bhattacharya, S. Computational Economics.

    Paper
  14. CSF 2020

    Real-time forecasts and risk assessment of novel coronavirus (COVID-19) cases: A data-driven analysis

    Chakraborty, T., Ghosh, I. Chaos, Solitons & Fractals.

    Most Cited Paper between 2021-2023
    Paper Code
  15. PSMI 2019

    Forecasting dengue epidemics using a hybrid methodology

    Chakraborty, T., Chattopadhyay, S., Ghosh, I. Physica A: Statistical Mechanics and its Applications.

    Paper

Spatiotemporal Modeling

  1. JRSS 2026

    E-STGCN: Extreme Spatiotemporal Graph Convolutional Networks for Air Quality Forecasting

    Panja, M., Chakraborty, T., Biswas, A.*, Deb, S. Journal of the Royal Statistical Society: Series A.

    Paper Code
  2. ML 2025

    Epidemic-guided deep learning for spatiotemporal forecasting of Tuberculosis outbreak

    Barman, M.*, Panja, M., Mishra, N., Chakraborty, T. Machine Learning.

    Paper Code
  3. NCAS 2025

    Recent Changes in Spatiotemporal Patterns of Heat Extremes in South Asia

    Banerjee, A., Gupta, S., Priyanshu, P., Kar, A., Saha, R., Chakraborty, T., Ghosh, D., Kurths, J., Hens, C. npj Climate and Atmospheric Science.

    Paper
  4. IEEE 2024

    Spatiotemporal Forecasting of Traffic Flow using Wavelet-based Temporal Attention

    Jakhmola, Y.*, Panja, M., Mishra, N.K., Ghosh, K., Kumar, U., Chakraborty, T. IEEE Access.

    Paper Code

Statistical Analysis of Networks

  1. 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.

    Preprint

  2. Rakshit, A., Bandyopadhyay, G., Chakraborty, T., Biswas, S. (2025+) A Discrete Asymptotic Approximation Approach for Quantitative Analysis of Hedge Error.

    Preprint

  3. Nareti, U.K., Gupta, D., Adak, C., Chattopadhyay, S., Riese, E., Chakraborty, T., Agarwal, M., Kumar, S. (2025+) Assessing Engineering Student Perceptions of Introductory CS Courses in an Indian Context.

    Preprint
  4. C 2025

    A Compounded Burr Probability Distribution for Fitting Heavy-Tailed Data with Applications to Biological Networks

    Chakraborty, T., Chattopadhyay, S., Das, S., Naik, S.M., Hens, C. Chaos.

    Paper Code
  5. IEEE 2022

    Searching for heavy-tailed probability distributions for modeling real-world complex networks

    Chakraborty, T., Chattopadhyay, S., Das, S., Kumar, U., Jayavelu, S. IEEE Access.

    Paper Code
  6. MS 2022

    A New Method for Generalizing Burr and Related Distributions

    Chakraborty, T., Das, S., Chattopadhyay, S. Mathematica Slovaca.

    Paper
  7. SNAM 2021

    Modified Lomax Model: A heavy-tailed distribution for fitting large-scale real-world complex networks

    Chattopadhyay, S., Chakraborty, T., Ghosh, K., Das, A. K. Social Network Analysis and Mining.

    Paper

Generative AI

  1. MLST 2024

    Ten Years of Generative Adversarial Nets (GANs): A survey of the state-of-the-art

    Chakraborty, T., Reddy, U., Naik, S.M.*, Panja, M., Manvitha, B. Machine Learning: Science and Technology.

    Most Cited Paper
    Paper
  2. ES 2024

    When Geoscience Meets Generative AI and Large Language Models: Foundations, Trends, and Future Challenges

    Hadid, A., Chakraborty, T., Busby, D. Expert Systems.

    Top Cited Paper Award 2025
    Paper
  3. SR 2023

    Prediction of Transportation Index for Urban Patterns in Small and Medium-sized Indian Cities using Hybrid RidgeGAN Model

    Thottolil, R., Kumar, U., Chakraborty, T. Scientific Reports.

    Paper Code