Tanujit Chakraborty

According to our database, Tanujit Chakraborty authored at least 46 papers between 2018 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Graph Convolutional Support Vector Regression for Robust Spatiotemporal Forecasting of Urban Air Pollution.

Nourin Jahan, Madhurima Panja, Muhammed Navas T, Tanujit Chakraborty

CoRR, May, 2026

EnTransformer: A Deep Generative Transformer for Multivariate Probabilistic Forecasting.

Rajdeep Pathak, Rahul Goswami, Madhurima Panja, Palash Ghosh, Tanujit Chakraborty

CoRR, March, 2026

Turning Time Series into Algebraic Equations: Symbolic Machine Learning for Interpretable Modeling of Chaotic Time Series.

Madhurima Panja, Grace Younes, Tanujit Chakraborty

CoRR, March, 2026

Deep Generative Spatiotemporal Engression for Probabilistic Forecasting of Epidemics.

Rajdeep Pathak, Tanujit Chakraborty

CoRR, March, 2026

MDAS: A Diagnostic Approach to Assess the Quality of Data Splitting in Machine Learning.

Palash Ghosh, Bittu Karmakar, Eklavya Jain, Neeraja Jayakumar, Buddhananda Banerjee, Tanujit Chakraborty

IEEE Access, 2026

2025

Epidemic-guided deep learning for spatiotemporal forecasting of tuberculosis outbreak.

Madhab Barman, Madhurima Panja, Nachiketa Mishra, Tanujit Chakraborty

Mach. Learn., October, 2025

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

Madhurima Panja, Dhiman Das, Tanujit Chakraborty, Arnob Ray, R. Athulya, Chittaranjan Hens, Syamal K. Dana, Nuncio Murukesh, Dibakar Ghosh

CoRR, October, 2025

Macroeconomic Forecasting for the G7 countries under Uncertainty Shocks.

Shovon Sengupta, Sunny Kumar Singh, Tanujit Chakraborty

CoRR, October, 2025

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

CoRR, September, 2025

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

Utsav Kumar Nareti, Divyansh Gupta, Chandranath Adak, Soumi Chattopadhyay, Emma Riese, Tanujit Chakraborty, Mayank Agarwal, Satendra Kumar

CoRR, August, 2025

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

CoRR, August, 2025

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, Chittaranjan Hens

CoRR, August, 2025

Skew-probabilistic neural networks for learning from imbalanced data.

Shraddha M. Naik, Tanujit Chakraborty, Madhurima Panja, Abdenour Hadid, Bibhas Chakraborty

Pattern Recognit., 2025

Shape Penalized Decision Forests for Imbalanced Data Classification.

Rahul Goswami, Aindrila Garai, Payel Sadhukhan, Palash Ghosh, Tanujit Chakraborty

IEEE Access, 2025

2024

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

Abdenour Hadid, Tanujit Chakraborty, Daniel Busby

Expert Syst. J. Knowl. Eng., October, 2024

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

Tanujit Chakraborty, Ujjwal Reddy K. S, Shraddha M. Naik, Madhurima Panja, Bayapureddy Manvitha

Mach. Learn. Sci. Technol., March, 2024

Learning Patterns from Biological Networks: A Compounded Burr Probability Model.

Tanujit Chakraborty, Shraddha M. Naik, Swarup Chattopadhyay, Suchismita Das

CoRR, 2024

Wavelet-based Temporal Attention Improves Traffic Forecasting.

Yash Jakhmola, Nitish Kumar Mishra, Kripabandhu Ghosh, Tanujit Chakraborty

CoRR, 2024

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

Payel Sadhukhan, Tanujit Chakraborty

CoRR, 2024

WaveCatBoost for Probabilistic Forecasting of Regional Air Quality Data.

Jintu Borah, Tanujit Chakraborty, Md. Shahrul Md. Nadzir, Mylene G. Cayetano, Shubhankar Majumdar

CoRR, 2024

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, Feng Xie, Marcus Eng Hock Ong, Nan Liu

CoRR, 2024

Spatiotemporal Forecasting of Traffic Flow Using Wavelet-Based Temporal Attention.

Yash Jakhmola, Madhurima Panja, Nitish Kumar Mishra, Kripabandhu Ghosh, Uttam Kumar, Tanujit Chakraborty

IEEE Access, 2024

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

Payel Sadhukhan, Kausik Sengupta, Sarbani Palit, Tanujit Chakraborty

Proceedings of the 30th Americas Conference on Information Systems: Elevating Life through Digital Social Entrepreneurship, 2024

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

Payel Sadhukhan, Tanujit Chakraborty, Kausik Sengupta

Proceedings of the 30th Americas Conference on Information Systems: Elevating Life through Digital Social Entrepreneurship, 2024

2023

Epicasting: An Ensemble Wavelet Neural Network for forecasting epidemics.

Madhurima Panja, Tanujit Chakraborty, Uttam Kumar, Nan Liu

Neural Networks, August, 2023

Skew Probabilistic Neural Networks for Learning from Imbalanced Data.

Shraddha M. Naik, Tanujit Chakraborty, Abdenour Hadid, Bibhas Chakraborty

CoRR, 2023

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

CoRR, 2023

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

Rahisha Thottolil, Uttam Kumar, Tanujit Chakraborty

CoRR, 2023

Probabilistic AutoRegressive Neural Networks for Accurate Long-Range Forecasting.

Madhurima Panja, Tanujit Chakraborty, Uttam Kumar, Abdenour Hadid

Proceedings of the Neural Information Processing - 30th International Conference, 2023

2022

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

Madhurima Panja, Tanujit Chakraborty, Sk. Shahid Nadim, Indrajit Ghosh, Uttam Kumar, Nan Liu

CoRR, 2022

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

Madhurima Panja, Tanujit Chakraborty, Uttam Kumar, Nan Liu

CoRR, 2022

An Interpretable Probabilistic Autoregressive Neural Network Model for Time Series Forecasting.

Madhurima Panja, Uttam Kumar, Tanujit Chakraborty

CoRR, 2022

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

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

Lena Sasal, Tanujit Chakraborty, Abdenour Hadid

Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022

Knowledge-based Deep Learning for Modeling Chaotic Systems.

Zakaria Elabid, Tanujit Chakraborty, Abdenour Hadid

Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022

2021

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

Tanujit Chakraborty, Ashis Kumar Chakraborty

IEEE Trans. Reliab., 2021

Modified Lomax model: a heavy-tailed distribution for fitting large-scale real-world complex networks.

Swarup Chattopadhyay, Tanujit Chakraborty, Kuntal Ghosh, Asit Kumar Das

Soc. Netw. Anal. Min., 2021

An integrated deterministic-stochastic approach for forecasting the long-term trajectories of COVID-19.

Indrajit Ghosh, Tanujit Chakraborty

Int. J. Model. Simul. Sci. Comput., 2021

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

Arnob Ray, Tanujit Chakraborty, Dibakar Ghosh

CoRR, 2021

Theta Autoregressive Neural Network: A Hybrid Time Series Model for Pandemic Forecasting.

Arinjita Bhattacharyya, Swarup Chattopadhyay, Monalisha Pattnaik, Tanujit Chakraborty

Proceedings of the International Joint Conference on Neural Networks, 2021

Uncovering patterns in heavy-tailed networks : A journey beyond scale-free.

Swarup Chattopadhyay, Tanujit Chakraborty, Kuntal Ghosh, Asit Kumar Das

Proceedings of the CODS-COMAD 2021: 8th ACM IKDD CODS and 26th COMAD, 2021

2020

Multiplicative Error Modeling Approach for Time Series Forecasting.

Poulami Chowdhury, Tanujit Chakraborty

Proceedings of the 5th International Conference on Computing, Communication and Security, 2020

2019

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

Tanujit Chakraborty, Ashis Kumar Chakraborty, Swarup Chattopadhyay

J. Comput. Appl. Math., 2019

A Hybrid Binary Classifier for Pattern Classification.

Kaumil Trivedi, Tanujit Chakraborty

Proceedings of the International Conference on Data Science and Engineering, 2019

2018

Superensemble Classifier for Improving Predictions in Imbalanced Datasets.

Tanujit Chakraborty, Ashis Kumar Chakraborty

CoRR, 2018

Superensemble classifier for learning from imbalanced business school data set.

Tanujit Chakraborty, Ashis Kumar Chakraborty

CoRR, 2018