Tanujit Chakraborty

49 papers B 1C 2Misc 1Journal 40Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Deep Generative Spatiotemporal Engression for Probabilistic Forecasting of Epidemics. CoRR Rajdeep Pathak, Tanujit Chakraborty
2026	J	`jnl`	EnTransformer: A Deep Generative Transformer for Multivariate Probabilistic Forecasting. CoRR Rajdeep Pathak, Rahul Goswami, Madhurima Panja, Palash Ghosh, Tanujit Chakraborty
2026	J	`jnl`	Turning Time Series into Algebraic Equations: Symbolic Machine Learning for Interpretable Modeling of Chaotic Time Series. CoRR Madhurima Panja, Grace Younes, Tanujit Chakraborty
2025	J	`jnl`	Assessing Engineering Student Perceptions of Introductory CS Courses in an Indian Context. CoRR Utsav Kumar Nareti, Divyansh Gupta, Chandranath Adak, Soumi Chattopadhyay, Emma Riese, Tanujit Chakraborty, Mayank Agarwal, Satendra Kumar
2025	J	`jnl`	Epidemic-guided deep learning for spatiotemporal forecasting of Tuberculosis outbreak. CoRR Madhab Barman, Madhurima Panja, Nachiketa Mishra, Tanujit Chakraborty
2025	J	`jnl`	Epidemic-guided deep learning for spatiotemporal forecasting of tuberculosis outbreak. Mach. Learn. Madhab Barman, Madhurima Panja, Nachiketa Mishra, Tanujit Chakraborty
2025	J	`jnl`	Forecasting precipitation in the Arctic using probabilistic machine learning informed by causal climate drivers. CoRR Madhurima Panja, Dhiman Das, Tanujit Chakraborty, Arnob Ray, R. Athulya, Chittaranjan Hens, Syamal K. Dana, Nuncio Murukesh, Dibakar Ghosh
2025	J	`jnl`	Macroeconomic Forecasting for the G7 countries under Uncertainty Shocks. CoRR Shovon Sengupta, Sunny Kumar Singh, Tanujit Chakraborty
2025	J	`jnl`	Neural ARFIMA model for forecasting BRIC exchange rates with long memory under oil shocks and policy uncertainties. CoRR Tanujit Chakraborty, Donia Besher, Madhurima Panja, Shovon Sengupta
2025	J	`jnl`	Salt-Rock Creep Deformation Forecasting Using Deep Neural Networks and Analytical Models for Subsurface Energy Storage Applications. CoRR Pradeep Kumar Shukla, Tanujit Chakraborty, Mustafa Sari, Joel Sarout, Partha Pratim Mandal
2025	J	`jnl`	Shape Penalized Decision Forests for Imbalanced Data Classification. IEEE Access Rahul Goswami, Aindrila Garai, Payel Sadhukhan, Palash Ghosh, Tanujit Chakraborty
2025	J	`jnl`	Skew-probabilistic neural networks for learning from imbalanced data. Pattern Recognit. Shraddha M. Naik, Tanujit Chakraborty, Madhurima Panja, Abdenour Hadid, Bibhas Chakraborty
2025	J	`jnl`	Universal Patterns in the Blockchain: Analysis of EOAs and Smart Contracts in ERC20 Token Networks. CoRR Kundan Mukhia, SR Luwang, Md Nurujjaman, Tanujit Chakraborty, Suman Saha, Chittaranjan Hens
2024	—	`conf`	Deploying model obfuscation: towards the privacy of decision-making models on shared platforms. AMCIS Payel Sadhukhan, Tanujit Chakraborty, Kausik Sengupta
2024	J	`jnl`	Footprints of Data in a Classifier Model: The Privacy Issues and Their Mitigation through Data Obfuscation. CoRR Payel Sadhukhan, Tanujit Chakraborty
2024	—	`conf`	Knowing the class distinguishing abilities of the features, to build better decision-making models. AMCIS Payel Sadhukhan, Kausik Sengupta, Sarbani Palit, Tanujit Chakraborty
2024	J	`jnl`	Learning Patterns from Biological Networks: A Compounded Burr Probability Model. CoRR Tanujit Chakraborty, Shraddha M. Naik, Swarup Chattopadhyay, Suchismita Das
2024	J	`jnl`	Spatiotemporal Forecasting of Traffic Flow Using Wavelet-Based Temporal Attention. IEEE Access Yash Jakhmola, Madhurima Panja, Nitish Kumar Mishra, Kripabandhu Ghosh, Uttam Kumar, Tanujit Chakraborty
2024	J	`jnl`	Survival modeling using deep learning, machine learning and statistical methods: A comparative analysis for predicting mortality after hospital admission. CoRR Ziwen Wang, Jin Wee Lee, Tanujit Chakraborty, Yilin Ning, Mingxuan Liu, Feng Xie, Marcus Eng Hock Ong, Nan Liu
2024	J	`jnl`	Ten years of generative adversarial nets (GANs): a survey of the state-of-the-art. Mach. Learn. Sci. Technol. Tanujit Chakraborty, Ujjwal Reddy K. S, Shraddha M. Naik, Madhurima Panja, Bayapureddy Manvitha
2024	J	`jnl`	WaveCatBoost for Probabilistic Forecasting of Regional Air Quality Data. CoRR Jintu Borah, Tanujit Chakraborty, Md. Shahrul Md. Nadzir, Mylene G. Cayetano, Shubhankar Majumdar
2024	J	`jnl`	Wavelet-based Temporal Attention Improves Traffic Forecasting. CoRR Yash Jakhmola, Nitish Kumar Mishra, Kripabandhu Ghosh, Tanujit Chakraborty
2024	J	`jnl`	When Geoscience Meets Generative AI and Large Language Models: Foundations, Trends, and Future Challenges. CoRR Abdenour Hadid, Tanujit Chakraborty, Daniel Busby
2024	J	`jnl`	When geoscience meets generative AI and large language models: Foundations, trends, and future challenges. Expert Syst. J. Knowl. Eng. Abdenour Hadid, Tanujit Chakraborty, Daniel Busby
2023	J	`jnl`	Epicasting: An Ensemble Wavelet Neural Network for forecasting epidemics. Neural Networks Madhurima Panja, Tanujit Chakraborty, Uttam Kumar, Nan Liu
2023	J	`jnl`	Prediction of Transportation Index for Urban Patterns in Small and Medium-sized Indian Cities using Hybrid RidgeGAN Model. CoRR Rahisha Thottolil, Uttam Kumar, Tanujit Chakraborty
2023	—	`conf`	Probabilistic AutoRegressive Neural Networks for Accurate Long-Range Forecasting. ICONIP (13) Madhurima Panja, Tanujit Chakraborty, Uttam Kumar, Abdenour Hadid
2023	J	`jnl`	Skew Probabilistic Neural Networks for Learning from Imbalanced Data. CoRR Shraddha M. Naik, Tanujit Chakraborty, Abdenour Hadid, Bibhas Chakraborty
2023	J	`jnl`	Ten Years of Generative Adversarial Nets (GANs): A survey of the state-of-the-art. CoRR Tanujit Chakraborty, Ujjwal Reddy K. S, Shraddha M. Naik, Madhurima Panja, Bayapureddy Manvitha
2023	J	`jnl`	Thompson sampling for zero-inflated count outcomes with an application to the Drink Less mobile health study. CoRR Xueqing Liu, Nina Deliu, Tanujit Chakraborty, Lauren Bell, Bibhas Chakraborty
2022	J	`jnl`	An Interpretable Probabilistic Autoregressive Neural Network Model for Time Series Forecasting. CoRR Madhurima Panja, Uttam Kumar, Tanujit Chakraborty
2022	J	`jnl`	An ensemble neural network approach to forecast Dengue outbreak based on climatic condition. CoRR Madhurima Panja, Tanujit Chakraborty, Sk. Shahid Nadim, Indrajit Ghosh, Uttam Kumar, Nan Liu
2022	J	`jnl`	Epicasting: An Ensemble Wavelet Neural Network (EWNet) for Forecasting Epidemics. CoRR Madhurima Panja, Tanujit Chakraborty, Uttam Kumar, Nan Liu
2022	C	`conf`	Knowledge-based Deep Learning for Modeling Chaotic Systems. ICMLA Zakaria Elabid, Tanujit Chakraborty, Abdenour Hadid
2022	J	`jnl`	Knowledge-based Deep Learning for Modeling Chaotic Systems. CoRR Zakaria Elabid, Tanujit Chakraborty, Abdenour Hadid
2022	J	`jnl`	Searching for Heavy-Tailed Probability Distributions for Modeling Real-World Complex Networks. IEEE Access Tanujit Chakraborty, Swarup Chattopadhyay, Suchismita Das, Uttam Kumar, J. Senthilnath
2022	J	`jnl`	W-Transformers : A Wavelet-based Transformer Framework for Univariate Time Series Forecasting. CoRR Lena Sasal, Tanujit Chakraborty, Abdenour Hadid
2022	C	`conf`	W-Transformers: A Wavelet-based Transformer Framework for Univariate Time Series Forecasting. ICMLA Lena Sasal, Tanujit Chakraborty, Abdenour Hadid
2021	J	`jnl`	An integrated deterministic-stochastic approach for forecasting the long-term trajectories of COVID-19. Int. J. Model. Simul. Sci. Comput. Indrajit Ghosh, Tanujit Chakraborty
2021	J	`jnl`	Hellinger Net: A Hybrid Imbalance Learning Model to Improve Software Defect Prediction. IEEE Trans. Reliab. Tanujit Chakraborty, Ashis Kumar Chakraborty
2021	J	`jnl`	Modified Lomax model: a heavy-tailed distribution for fitting large-scale real-world complex networks. Soc. Netw. Anal. Min. Swarup Chattopadhyay, Tanujit Chakraborty, Kuntal Ghosh, Asit Kumar Das
2021	J	`jnl`	Optimized ensemble deep learning framework for scalable forecasting of dynamics containing extreme events. CoRR Arnob Ray, Tanujit Chakraborty, Dibakar Ghosh
2021	B	`conf`	Theta Autoregressive Neural Network: A Hybrid Time Series Model for Pandemic Forecasting. IJCNN Arinjita Bhattacharyya, Swarup Chattopadhyay, Monalisha Pattnaik, Tanujit Chakraborty
2021	—	`conf`	Uncovering patterns in heavy-tailed networks : A journey beyond scale-free. COMAD/CODS Swarup Chattopadhyay, Tanujit Chakraborty, Kuntal Ghosh, Asit Kumar Das
2020	—	`conf`	Multiplicative Error Modeling Approach for Time Series Forecasting. ICCCS Poulami Chowdhury, Tanujit Chakraborty
2019	Misc	`conf`	A Hybrid Binary Classifier for Pattern Classification. ICDSE Kaumil Trivedi, Tanujit Chakraborty
2019	J	`jnl`	A novel distribution-free hybrid regression model for manufacturing process efficiency improvement. J. Comput. Appl. Math. Tanujit Chakraborty, Ashis Kumar Chakraborty, Swarup Chattopadhyay
2018	J	`jnl`	Superensemble Classifier for Improving Predictions in Imbalanced Datasets. CoRR Tanujit Chakraborty, Ashis Kumar Chakraborty
2018	J	`jnl`	Superensemble classifier for learning from imbalanced business school data set. CoRR Tanujit Chakraborty, Ashis Kumar Chakraborty