Tanujit Chakraborty

47
Documents

Publications

Publications

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

Xueqing Liu , Nina Deliu , Tanujit Chakraborty , Lauren Bell , Bibhas Chakraborty
The Annals of Applied Statistics, 2025, 19 (2), pp.1403 - 1425. ⟨10.1214/25-AOAS2030⟩
Article dans une revue hal-05089461 v1

Epidemic-guided deep learning for spatiotemporal forecasting of tuberculosis outbreak

Madhab Barman , Madhurima Panja , Nachiketa Mishra , Tanujit Chakraborty
Machine Learning, 2025, 114 (10), pp.213. ⟨10.1007/s10994-025-06848-4⟩
Article dans une revue hal-05221098 v1

Pattern change of precipitation extremes in Svalbard

Dhiman Das , R. Athulya , Tanujit Chakraborty , Arnob Ray , Chittaranjan Hens et al.
Scientific Reports, 2025, 15 (1), pp.8754. ⟨10.1038/s41598-025-92339-4⟩
Article dans une revue hal-05032698 v1

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

Pradeep Kumar Shukla , Tanujit Chakraborty , Mustafa Sari , Joel Sarout , Partha Pratim Mandal
Scientific Reports, 2025, 15 (1), pp.34560. ⟨10.1038/s41598-025-17940-z⟩
Article dans une revue hal-05300708 v1

Skew-probabilistic neural networks for learning from imbalanced data

Shraddha Naik , Tanujit Chakraborty , Madhurima Panja , Abdenour Hadid , Bibhas Chakraborty
Pattern Recognition, 2025, 165, pp.111677. ⟨10.1016/j.patcog.2025.111677⟩
Article dans une revue hal-05060773 v1

Forecasting precipitation in the Arctic using probabilistic machine learning informed by causal climate drivers

Madhurima Panja , Dhiman Das , Tanujit Chakraborty , Arnob Ray , R. Athulya et al.
Chaos: An Interdisciplinary Journal of Nonlinear Science, 2025, 35 (11), pp.3108. ⟨10.1063/5.0297336⟩
Article dans une revue hal-05352507 v1

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

Adrita Ghosh , Parthasakha Das , Tanujit Chakraborty , Pritha Das , Dibakar Ghosh
Journal of Theoretical Biology, 2025, 605, pp.112097. ⟨10.1016/j.jtbi.2025.112097⟩
Article dans une revue hal-05032711 v1

A Novel Hybrid Approach For Efficiently Forecasting Air Quality Data

Jintu Borah , Tanujit Chakraborty , Md. Shahrul Md. Nadzir , Mylene Cayetano , Francesco Benedetto et al.
IEEE Sensors Letters, 2025, 9 (1), pp.1-4. ⟨10.1109/LSENS.2024.3519719⟩
Article dans une revue hal-04920895 v1

A compounded Burr probability distribution for fitting heavy-tailed data with applications to biological networks

Tanujit Chakraborty , Swarup Chattopadhyay , Suchismita Das , Shraddha Naik , Chittaranjan Hens
Chaos: An Interdisciplinary Journal of Nonlinear Science, 2025, 35 (6), ⟨10.1063/5.0270403⟩
Article dans une revue hal-05095710 v1

Shape Penalized Decision Forests for Imbalanced Data Classification

Rahul Goswami , Aindrila Garai , Payel Sadhukhan , Palash Ghosh , Tanujit Chakraborty
IEEE Access, 2025, 13, pp.86380 - 86395. ⟨10.1109/ACCESS.2025.3569523⟩
Article dans une revue hal-05068649 v1

Recent changes in spatiotemporal patterns of heat extremes in South Asia

Abhirup Banerjee , Shraddha Gupta , Pranava Priyanshu , Ankan Kar , Ruby Saha et al.
npj climate and atmospheric science, 2025, 8 (1), pp.293. ⟨10.1038/s41612-025-01146-1⟩
Article dans une revue hal-05202756 v1

Footprints of Data in a Classifier: Understanding the Privacy Risks and Solution Strategies

Payel Sadhukhan , Tanujit Chakraborty
Information Systems Frontiers, 2025, ⟨10.1007/s10796-025-10679-y⟩
Article dans une revue hal-05440963 v1

When geoscience meets generative AI and large language models: Foundations, trends, and future challenges

Abdenour Hadid , Tanujit Chakraborty , Daniel Busby
Expert Systems, 2024, 41 (10), ⟨10.1111/exsy.13654⟩
Article dans une revue (article de synthèse) hal-04905110 v1

Ten years of generative adversarial nets (GANs): a survey of the state-of-the-art

Tanujit Chakraborty , Ujjwal Reddy K S , Shraddha Naik , Madhurima Panja , Bayapureddy Manvitha
Machine Learning: Science and Technology, 2024, 5 (1), pp.011001. ⟨10.1088/2632-2153/ad1f77⟩
Article dans une revue (article de synthèse) hal-04940419 v1

Spatiotemporal Forecasting of Traffic Flow using Wavelet-based Temporal Attention

Yash Jakhmola , Madhurima Panja , Nitish Kumar Mishra , Kripabandhu Ghosh , Uttam Kumar et al.
IEEE Access, 2024, 12, pp.188797-188812. ⟨10.1109/ACCESS.2024.3516195⟩
Article dans une revue hal-04915791 v1

Epicasting: An Ensemble Wavelet Neural Network for forecasting epidemics

Madhurima Panja , Tanujit Chakraborty , Uttam Kumar , Nan Liu
Neural Networks, 2023, ⟨10.1016/j.neunet.2023.05.049⟩
Article dans une revue hal-04116668 v1

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

Madhurima Panja , Tanujit Chakraborty , Sk Shahid Nadim , Indrajit Ghosh , Uttam Kumar et al.
Chaos, Solitons & Fractals, 2023, 167, pp.113124. ⟨10.1016/j.chaos.2023.113124⟩
Article dans une revue hal-03959102 v1

Bayesian neural tree models for nonparametric regression

Tanujit Chakraborty , Gauri Kamat , Ashis Kumar Chakraborty
Australian and New Zealand Journal of Statistics, 2023, ⟨10.1111/anzs.12386⟩
Article dans une revue hal-04127628 v1

Prediction of transportation index for urban patterns in small and medium-sized Indian cities using hybrid RidgeGAN model

Rahisha Thottolil , Uttam Kumar , Tanujit Chakraborty
Scientific Reports, 2023, 13 (1), pp.21863. ⟨10.1038/s41598-023-49343-3⟩
Article dans une revue hal-04939825 v1

Searching for Heavy-Tailed Probability Distributions for Modeling Real-World Complex Networks

Tanujit Chakraborty , Swarup Chattopadhyay , Suchismita Das , Uttam Kumar , J. Senthilnath
IEEE Access, 2022, 10, pp.115092-115107. ⟨10.1109/ACCESS.2022.3218631⟩
Article dans une revue hal-03955342 v1

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

Arinjita Bhattacharyya , Tanujit Chakraborty , Shesh Rai
Nonlinear Dynamics, 2022, ⟨10.1007/s11071-021-07099-3⟩
Article dans une revue hal-03955345 v1

A New Method for Generalizing Burr and Related Distributions

Tanujit Chakraborty , Suchismita Das , Swarup Chattopadhyay
Mathematica Slovaca, 2022, 72 (1), pp.241-264. ⟨10.1515/ms-2022-0016⟩
Article dans une revue hal-03955341 v1

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

Arnob Ray , Tanujit Chakraborty , Dibakar Ghosh
Chaos: An Interdisciplinary Journal of Nonlinear Science, 2021, 31 (11), pp.111105. ⟨10.1063/5.0074213⟩
Article dans une revue hal-04018767 v1

Neural ARFIMA model for forecasting BRIC exchange rates with long memory under oil shocks and policy uncertainties

Tanujit Chakraborty , Donia Besher , Madhurima Panja , Shovon Sengupta
2025
Pré-publication, Document de travail hal-05251194 v1

Macroeconomic Forecasting for the G7 countries under Uncertainty Shocks

Shovon Sengupta , Sunny Kumar Singh , Tanujit Chakraborty
2025
Pré-publication, Document de travail hal-05334998 v1

Universal Patterns in the Blockchain: Analysis of EOAs and Smart Contracts in ERC20 Token Networks

Kundan Mukhia , Sr Luwang , Md. Nurujjaman , Tanujit Chakraborty , Suman Saha et al.
2025
Pré-publication, Document de travail hal-05280162 v1

Assessing Engineering Student Perceptions of Introductory CS Courses in an Indian Context

Utsav Kumar Nareti , Divyansh Gupta , Chandranath Adak , Soumi Chattopadhyay , Emma Riese et al.
2025
Pré-publication, Document de travail hal-05280078 v1

Forecasting Climate Policy Uncertainty: Evidence from the United States

Donia Besher , Anirban Sengupta , Tanujit Chakraborty
2025
Pré-publication, Document de travail hal-05251174 v1

Epidemic-guided deep learning for spatiotemporal forecasting of Tuberculosis outbreak

Madhab Barman , Madhurima Panja , Nachiketa Mishra , Tanujit Chakraborty
2025
Pré-publication, Document de travail hal-05032683 v1

Salt-Rock Creep Deformation Forecasting Using Deep Neural Networks and Analytical Models for Subsurface Energy Storage Applications

Pradeep Kumar Shukla , Tanujit Chakraborty , Mustafa Sari , Joel Sarout , Partha Pratim Mandal
2025
Pré-publication, Document de travail hal-05280127 v1

Forecasting precipitation in the Arctic using probabilistic machine learning informed by causal climate drivers

Madhurima Panja , Dhiman Das , Tanujit Chakraborty , Arnob Ray , R. Athulya et al.
2025
Pré-publication, Document de travail hal-05336829 v1

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

Tanujit Chakraborty , Swarup Chattopadhyay , Suchismita Das , Shraddha Naik , Chittaranjan Hens
2025
Pré-publication, Document de travail hal-05086426 v1

Learning Patterns from Biological Networks: A Compounded Burr Probability Model

Tanujit Chakraborty , Shraddha Naik , Swarup Chattopadhyay , Suchismita Das
2024
Pré-publication, Document de travail hal-04965346 v1

Hedge Error Analysis In Black Scholes Option Pricing Model: An Asymptotic Approach Towards Finite Difference

Agni Rakshit , Gautam Bandyopadhyay , Tanujit Chakraborty
2024
Pré-publication, Document de travail hal-04965311 v1

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

Madhurima Panja , Tanujit Chakraborty , Anubhab Biswas , Soudeep Deb
2024
Pré-publication, Document de travail hal-04965062 v1

Footprints of Data in a Classifier Model: The Privacy Issues and Their Mitigation through Data Obfuscation

Payel Sadhukhan , Tanujit Chakraborty
2024
Pré-publication, Document de travail hal-04965299 v1

Survival modeling using deep learning, machine learning and statistical methods: A comparative analysis for predicting mortality after hospital admission

Ziwen Wang , Jin Wee Lee , Tanujit Chakraborty , Yilin Ning , Mingxuan Liu et al.
2024
Pré-publication, Document de travail hal-04965082 v1

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

Xueqing Liu , Nina Deliu , Tanujit Chakraborty , Lauren Bell , Bibhas Chakraborty
2023
Pré-publication, Document de travail hal-05033145 v1
Image document

Skew-Probabilistic Neural Networks for Learning from Imbalanced Data

Shraddha Naik , Tanujit Chakraborty , Madhurima Panja , Abdenour Hadid , Bibhas Chakraborty
2024
Pré-publication, Document de travail hal-04965388 v1

Zero-shot forecasting of epidemics

Madhurima Panja , Ojas Modak , Grace Younes , Tanujit Chakraborty
NeurIPS 2025: Recent Advances in Time Series Foundation Models Have We Reached the 'BERT Moment'?, Dec 2025, San Diego, CA, United States
Communication dans un congrès hal-05343814 v1

Knowing the class distinguishing abilities of the features, to build better decision-making models

Payel Sadhukhan , Kausik Sengupta , Sarbani Palit , Tanujit Chakraborty
AMCIS 2024 Proceedings, 2024, Salt Lake City, United States
Communication dans un congrès hal-04902580 v1
Image document

Do we really need Foundation Models for multi-step-ahead Epidemic Forecasting?

Mrinmoy Dey , Aprameyo Chakrabartty , Dhruv Sarkar , Tanujit Chakraborty
NeurIPS Workshop on Time Series in the Age of Large Models, Dec 2024, Vancouver, British Columbia, Canada
Communication dans un congrès hal-04965040 v1

Deploying model obfuscation: towards the privacy of decision-making models on shared platforms

Payel Sadhukhan , Tanujit Chakraborty , Kausik Sengupta
Americas Conference on Information Systems (AMCIS) 2024 proceedings, Jun 2024, Salt Lake City, United States
Communication dans un congrès hal-04832474 v1

Probabilistic AutoRegressive Neural Networks for Accurate Long-Range Forecasting

Madhurima Panja , Tanujit Chakraborty , Uttam Kumar , Abdenour Hadid
International Conference on Neural Information Processing (ICONIP 2023), 1967, Springer Nature Singapore, pp.457-477, 2024, Communications in Computer and Information Science, ⟨10.1007/978-981-99-8178-6_35⟩
Proceedings/Recueil des communications hal-04915744 v1

Van der Pol-informed Neural Networks for Multi-step-ahead Forecasting of Extreme Climatic Events

Anurag Dutta , Madhurima Panja , Uttam Kumar , Chittaranjan Hens , Tanujit Chakraborty
37th Conference on Neural Information Processing Systems (NeurIPS 2023), Dec 2023, New Orleans, United States. 2023
Proceedings/Recueil des communications hal-04903437 v1

W-Transformers: A Wavelet-based Transformer Framework for Univariate Time Series Forecasting

Lena Sasal , Tanujit Chakraborty , Abdenour Hadid
2022 21st IEEE International Conference on Machine Learning and Applications (ICMLA), IEEE, pp.671-676, 2022, ⟨10.1109/ICMLA55696.2022.00111⟩
Proceedings/Recueil des communications hal-04915782 v1

Knowledge-based Deep Learning for Modeling Chaotic Systems

Zakaria Elabid , Tanujit Chakraborty , Abdenour Hadid
2022 21st IEEE International Conference on Machine Learning and Applications (ICMLA), IEEE, pp.1203-1209, 2022, ⟨10.1109/ICMLA55696.2022.00194⟩
Proceedings/Recueil des communications hal-03957179 v1