Superensemble classifier for learning from imbalanced business school data set. - Tanujit Chakraborty; Ashis Kumar Chakraborty (CoRR, 2018)

Superensemble Classifier for Improving Predictions in Imbalanced Datasets. - Tanujit Chakraborty; Ashis Kumar Chakraborty (CoRR, 2018)

A Hybrid Binary Classifier for Pattern Classification. - Kaumil Trivedi; Tanujit Chakraborty (ICDSE, 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)

Multiplicative Error Modeling Approach for Time Series Forecasting. - Poulami Chowdhury; Tanujit Chakraborty (ICCCS, 2020)

Uncovering patterns in heavy-tailed networks : A journey beyond scale-free. - Swarup Chattopadhyay; Tanujit Chakraborty; Kuntal Ghosh; Asit Kumar Das (COMAD/CODS, 2021)

Theta Autoregressive Neural Network: A Hybrid Time Series Model for Pandemic Forecasting. - Arinjita Bhattacharyya; Swarup Chattopadhyay; Monalisha Pattnaik; Tanujit Chakraborty (IJCNN, 2021)

Optimized ensemble deep learning framework for scalable forecasting of dynamics containing extreme events. - Arnob Ray; Tanujit Chakraborty; Dibakar Ghosh (CoRR, 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)

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)

Hellinger Net: A Hybrid Imbalance Learning Model to Improve Software Defect Prediction. - Tanujit Chakraborty; Ashis Kumar Chakraborty (IEEE Trans. Reliab., 2021)

Knowledge-based Deep Learning for Modeling Chaotic Systems. - Zakaria Elabid; Tanujit Chakraborty; Abdenour Hadid (ICMLA, 2022)

W-Transformers: A Wavelet-based Transformer Framework for Univariate Time Series Forecasting. - Lena Sasal; Tanujit Chakraborty; Abdenour Hadid (ICMLA, 2022)

Searching for Heavy-Tailed Probability Distributions for Modeling Real-World Complex Networks. - Tanujit Chakraborty; Swarup Chattopadhyay; Suchismita Das; Uttam Kumar 001; J. Senthilnath 001 (IEEE Access, 2022)

An Interpretable Probabilistic Autoregressive Neural Network Model for Time Series Forecasting. - Madhurima Panja; Uttam Kumar 001; Tanujit Chakraborty (CoRR, 2022)

Epicasting: An Ensemble Wavelet Neural Network (EWNet) for Forecasting Epidemics. - Madhurima Panja; Tanujit Chakraborty; Uttam Kumar 001; Nan Liu 003 (CoRR, 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 001; Nan Liu 003 (CoRR, 2022)

Probabilistic AutoRegressive Neural Networks for Accurate Long-Range Forecasting. - Madhurima Panja; Tanujit Chakraborty; Uttam Kumar 001; Abdenour Hadid (ICONIP (13), 2023)

Prediction of Transportation Index for Urban Patterns in Small and Medium-sized Indian Cities using Hybrid RidgeGAN Model. - Rahisha Thottolil; Uttam Kumar 001; Tanujit 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)

Skew Probabilistic Neural Networks for Learning from Imbalanced Data. - Shraddha M. Naik; Tanujit Chakraborty; Abdenour Hadid; Bibhas Chakraborty (CoRR, 2023)

Epicasting: An Ensemble Wavelet Neural Network for forecasting epidemics. - Madhurima Panja; Tanujit Chakraborty; Uttam Kumar 001; Nan Liu 003 (Neural Networks, 2023)

Deploying model obfuscation: towards the privacy of decision-making models on shared platforms. - Payel Sadhukhan; Tanujit Chakraborty; Kausik Sengupta (AMCIS, 2024)

Knowing the class distinguishing abilities of the features, to build better decision-making models. - Payel Sadhukhan; Kausik Sengupta; Sarbani Palit; Tanujit Chakraborty (AMCIS, 2024)

Spatiotemporal Forecasting of Traffic Flow Using Wavelet-Based Temporal Attention. - Yash Jakhmola; Madhurima Panja; Nitish Kumar Mishra; Kripabandhu Ghosh; Uttam Kumar 001; Tanujit Chakraborty (IEEE Access, 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 004; Marcus Eng Hock Ong; Nan Liu 003 (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)

Footprints of Data in a Classifier Model: The Privacy Issues and Their Mitigation through Data Obfuscation. - Payel Sadhukhan; Tanujit Chakraborty (CoRR, 2024)

Wavelet-based Temporal Attention Improves Traffic Forecasting. - Yash Jakhmola; Nitish Kumar Mishra; Kripabandhu Ghosh; Tanujit Chakraborty (CoRR, 2024)

Learning Patterns from Biological Networks: A Compounded Burr Probability Model. - Tanujit Chakraborty; Shraddha M. Naik; Swarup Chattopadhyay; Suchismita Das (CoRR, 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., 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., 2024)

Shape Penalized Decision Forests for Imbalanced Data Classification. - Rahul Goswami; Aindrila Garai; Payel Sadhukhan; Palash Ghosh; Tanujit Chakraborty (IEEE Access, 2025)

Skew-probabilistic neural networks for learning from imbalanced data. - Shraddha M. Naik; Tanujit Chakraborty; Madhurima Panja; Abdenour Hadid; Bibhas Chakraborty (Pattern Recognit., 2025)

Epidemic-guided deep learning for spatiotemporal forecasting of Tuberculosis outbreak. - Madhab Barman; Madhurima Panja; Nachiketa Mishra; Tanujit Chakraborty (CoRR, 2025)