Tanujit Chakraborty

Publications

Article dans une revue (23)

Pattern change of precipitation extremes in Svalbard Dhiman Das,R. Athulya,Tanujit Chakraborty,Arnob Ray,Chittaranjan Henset al. Scientific Reports, 2025, 15 (1), pp.8754. ⟨10.1038/s41598-025-92339-4⟩ Article dans une revue hal-05032698v1
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-05221098v1
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-05060773v1
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-05300708v1
Forecasting precipitation in the Arctic using probabilistic machine learning informed by causal climate drivers Madhurima Panja,Dhiman Das,Tanujit Chakraborty,Arnob Ray,R. Athulyaet al. Chaos: An Interdisciplinary Journal of Nonlinear Science, 2025, 35 (11), pp.3108. ⟨10.1063/5.0297336⟩ Article dans une revue hal-05352507v1
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-05032711v1
A Novel Hybrid Approach For Efficiently Forecasting Air Quality Data Jintu Borah,Tanujit Chakraborty,Md. Shahrul Md. Nadzir,Mylene Cayetano,Francesco Benedettoet al. IEEE Sensors Letters, 2025, 9 (1), pp.1-4. ⟨10.1109/LSENS.2024.3519719⟩ Article dans une revue hal-04920895v1
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-05095710v1
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-05068649v1
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-05440963v1
Recent changes in spatiotemporal patterns of heat extremes in South Asia Abhirup Banerjee,Shraddha Gupta,Pranava Priyanshu,Ankan Kar,Ruby Sahaet al. npj climate and atmospheric science, 2025, 8 (1), pp.293. ⟨10.1038/s41612-025-01146-1⟩ Article dans une revue hal-05202756v1
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-05089461v1
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-04940419v1
Spatiotemporal Forecasting of Traffic Flow using Wavelet-based Temporal Attention Yash Jakhmola,Madhurima Panja,Nitish Kumar Mishra,Kripabandhu Ghosh,Uttam Kumaret al. IEEE Access, 2024, 12, pp.188797-188812. ⟨10.1109/ACCESS.2024.3516195⟩ Article dans une revue hal-04915791v1
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-04905110v1
An ensemble neural network approach to forecast Dengue outbreak based on climatic condition Madhurima Panja,Tanujit Chakraborty,Sk Shahid Nadim,Indrajit Ghosh,Uttam Kumaret al. Chaos, Solitons & Fractals, 2023, 167, pp.113124. ⟨10.1016/j.chaos.2023.113124⟩ Article dans une revue hal-03959102v1
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-04116668v1
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-04939825v1
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-04127628v1
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-03955342v1
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-03955345v1
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-03955341v1
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-04018767v1

Pré-publication, Document de travail (16)

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-05251194v1
Macroeconomic Forecasting for the G7 countries under Uncertainty Shocks Shovon Sengupta,Sunny Kumar Singh,Tanujit Chakraborty 2025 Pré-publication, Document de travail hal-05334998v1
Assessing Engineering Student Perceptions of Introductory CS Courses in an Indian Context Utsav Kumar Nareti,Divyansh Gupta,Chandranath Adak,Soumi Chattopadhyay,Emma Rieseet al. 2025 Pré-publication, Document de travail hal-05280078v1
Universal Patterns in the Blockchain: Analysis of EOAs and Smart Contracts in ERC20 Token Networks Kundan Mukhia,Sr Luwang,Md. Nurujjaman,Tanujit Chakraborty,Suman Sahaet al. 2025 Pré-publication, Document de travail hal-05280162v1
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-05032683v1
Forecasting Climate Policy Uncertainty: Evidence from the United States Donia Besher,Anirban Sengupta,Tanujit Chakraborty 2025 Pré-publication, Document de travail hal-05251174v1
Forecasting precipitation in the Arctic using probabilistic machine learning informed by causal climate drivers Madhurima Panja,Dhiman Das,Tanujit Chakraborty,Arnob Ray,R. Athulyaet al. 2025 Pré-publication, Document de travail hal-05336829v1
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-05280127v1
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-05086426v1
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-04965346v1
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-04965311v1
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-04965062v1
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-04965299v1
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 Liuet al. 2024 Pré-publication, Document de travail hal-04965082v1
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-05033145v1
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-04965388v1

Communication dans un congrès (4)

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-05343814v1
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-04902580v1
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-04965040v1
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-04832474v1

Proceedings/Recueil des communications (4)

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-04915744v1
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-04903437v1
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-04915782v1
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-03957179v1