Tanujit Chakraborty

According to our database, Tanujit Chakraborty authored at least 25 papers between 2018 and 2024.

Collaborative distances:

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

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

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

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

Abdenour Hadid, Tanujit Chakraborty, Daniel Busby

CoRR, 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