Tanujit Chakraborty

发表

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

Tanujit Chakraborty, Ashis Kumar Chakraborty, T. Chakraborty, 2020, IEEE Transactions on Reliability.

Real-time forecasts and risk assessment of novel coronavirus (COVID-19) cases: A data-driven analysis

T. Chakraborty, I. Ghosh, Tanujit Chakraborty, 2020, Chaos, Solitons & Fractals.

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

A. Hadid, T. Chakraborty, Zakaria Elabid, 2022, 2022 21st IEEE International Conference on Machine Learning and Applications (ICMLA).

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

A. Hadid, T. Chakraborty, Lena Sasal, 2022, 2022 21st IEEE International Conference on Machine Learning and Applications (ICMLA).

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

Tanujit Chakraborty, Arnob Ray, Dibakar Ghosh, 2021, Chaos.

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

S. Rai, T. Chakraborty, A. Bhattacharyya, 2020, Nonlinear Dynamics.

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

T. Chakraborty, Madhurima Panja, U. Kumar, 2022, Neural Networks.

Nowcasting of COVID-19 Confirmed Cases: Foundations, Trends, and Challenges

T. Chakraborty, I. Ghosh, Tirna Mahajan, 2020, Modeling, Control and Drug Development for COVID-19 Outbreak Prevention.

Theta autoregressive neural network model for COVID-19 outbreak predictions

T. CHAKRABORTY, A. Bhattacharyya, M. Pattnaik, 2020, medRxiv.

Forecasting dengue epidemics using a hybrid methodology

Indrajit Ghosh, Tanujit Chakraborty, Swarup Chattopadhyay, 2018, bioRxiv.

Searching for a new probability distribution for modeling non-scale-free heavy-tailed real-world networks

T. Chakraborty, Senthilnath Jayavelu, Suchismita Das, 2022 .

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

A. Das, Swarup Chattopadhyay, K. Ghosh, 2021, Social Network Analysis and Mining.

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

Tanujit Chakraborty, Kuntal Ghosh, Swarup Chattopadhyay, 2020, COMAD/CODS.

A New Method for Generalizing Burr and Related Distributions

T. Chakraborty, Suchismita Das, Swarup Chattopadhyay, 2020, Mathematica Slovaca.

Modeling the Degree Distributions of Heavy-Tailed Networks by Generalized Lomax Models

T. Chakraborty, Suchismita Das, Swarup Chattopadhyay, 2020 .

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

Tanujit Chakraborty, Swarup Chattopadhyay, Kuntal Ghosh, 2019, Soc. Netw. Anal. Min..

Probabilistic AutoRegressive Neural Networks for Accurate Long-range Forecasting

A. Hadid, Madhurima Panja, U. Kumar, 2022, 2204.09640.

PARNN: A Probabilistic Autoregressive Neural Network Framework for Accurate Forecasting

A. Hadid, T. Chakraborty, Madhurima Panja, 2022 .

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

U. Kumar, Tanujit Chakraborty, Rahisha Thottolil, 2023, Scientific reports.

A hybrid regression model for water quality prediction

T. Chakraborty, A. Chakraborty, Zubia Mansoor, 2019, OPSEARCH.

Superensemble classifier for improving predictions in imbalanced datasets

Tanujit Chakraborty, Ashis Kumar Chakraborty, A. Chakraborty, 2018, Communications in Statistics: Case Studies, Data Analysis and Applications.

Imbalanced Ensemble Classifier for Learning from Imbalanced Business School Dataset

Tanujit Chakraborty, T. Chakraborty, Tanujit Chakraborty, 2018, International Journal of Mathematical, Engineering and Management Sciences.

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

T. Chakraborty, I. Ghosh, Madhurima Panja, 2022, Chaos, Solitons & Fractals.

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

N. Deliu, Tanujit Chakraborty, Xueqing Liu, 2023, ArXiv.

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

T. Chakraborty, Madhurima Panja, U. Kumar, 2022, ArXiv.

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

Shraddha M. Naik, Madhurima Panja, Tanujit Chakraborty, 2023, Mach. Learn. Sci. Technol..

Pattern change of precipitation extremes in Bear Island

S. K. Dana, C. Hens, Arnob Ray, 2023, 2312.04502.

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

A. Hadid, Tanujit Chakraborty, Daniel Busby, 2024, Expert Syst. J. Knowl. Eng..

Forecasting CPI inflation under economic policy and geopolitical uncertainties

Shovon Sengupta, Tanujit Chakraborty, Sunny Kumar Singh, 2023, International Journal of Forecasting.

Unemployment Rate Forecasting: A Hybrid Approach

T. Chakraborty, A. Chakraborty, M. Biswas, 2019, Computational Economics.

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

Tanujit Chakraborty, Ashis Kumar Chakraborty, Swarup Chattopadhyay, 2018, J. Comput. Appl. Math..

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

Yilin Ning, F. Xie, Mingxuan Liu, 2024, ArXiv.

Learning Patterns from Biological Networks: A Compounded Burr Probability Model

Shraddha M. Naik, Swarup Chattopadhyay, Tanujit Chakraborty, 2024, 2407.04465.

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

A. Das, Swarup Chattopadhyay, K. Ghosh, 2019, Social Network Analysis and Mining.

Skew Probabilistic Neural Networks for Learning from Imbalanced Data

Shraddha M. Naik, A. Hadid, Tanujit Chakraborty, 2023, arXiv.org.