Tanujit Chakraborty

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 34

Top Topics

Imbalanced Data

Probability Model

Top Venues

Int. J. Model. Simul. Sci. Comput.

Publications

Ziwen Wang, Jin Wee Lee, Tanujit Chakraborty, Yilin Ning, Mingxuan Liu, Feng Xie, Marcus Eng Hock Ong, Nan Liu
Survival modeling using deep learning, machine learning and statistical methods: A comparative analysis for predicting mortality after hospital admission. CoRR (2024)
Payel Sadhukhan, Tanujit Chakraborty, Kausik Sengupta
Deploying model obfuscation: towards the privacy of decision-making models on shared platforms. AMCIS (2024)
Payel Sadhukhan, Kausik Sengupta, Sarbani Palit, Tanujit Chakraborty
Knowing the class distinguishing abilities of the features, to build better decision-making models. AMCIS (2024)
Yash Jakhmola, Nitish Kumar Mishra, Kripabandhu Ghosh, Tanujit Chakraborty
Wavelet-based Temporal Attention Improves Traffic Forecasting. CoRR (2024)
Abdenour Hadid, Tanujit Chakraborty, Daniel Busby
When Geoscience Meets Generative AI and Large Language Models: Foundations, Trends, and Future Challenges. CoRR (2024)
Jintu Borah, Tanujit Chakraborty, Md. Shahrul Md. Nadzir, Mylene G. Cayetano, Shubhankar Majumdar
WaveCatBoost for Probabilistic Forecasting of Regional Air Quality Data. CoRR (2024)
Payel Sadhukhan, Tanujit Chakraborty
Footprints of Data in a Classifier Model: The Privacy Issues and Their Mitigation through Data Obfuscation. CoRR (2024)
Tanujit Chakraborty, Ujjwal Reddy K. S, Shraddha M. Naik, Madhurima Panja, Bayapureddy Manvitha
Ten years of generative adversarial nets (GANs): a survey of the state-of-the-art. Mach. Learn. Sci. Technol. 5 (1) (2024)
Tanujit Chakraborty, Shraddha M. Naik, Swarup Chattopadhyay, Suchismita Das
Learning Patterns from Biological Networks: A Compounded Burr Probability Model. CoRR (2024)
Shraddha M. Naik, Tanujit Chakraborty, Abdenour Hadid, Bibhas Chakraborty
Skew Probabilistic Neural Networks for Learning from Imbalanced Data. CoRR (2023)
Madhurima Panja, Tanujit Chakraborty, Uttam Kumar, Abdenour Hadid
Probabilistic AutoRegressive Neural Networks for Accurate Long-Range Forecasting. ICONIP (13) (2023)
Madhurima Panja, Tanujit Chakraborty, Uttam Kumar, Nan Liu
Epicasting: An Ensemble Wavelet Neural Network for forecasting epidemics. Neural Networks 165 (2023)
Rahisha Thottolil, Uttam Kumar, Tanujit Chakraborty
Prediction of Transportation Index for Urban Patterns in Small and Medium-sized Indian Cities using Hybrid RidgeGAN Model. CoRR (2023)
Xueqing Liu, Nina Deliu, Tanujit Chakraborty, Lauren Bell, Bibhas Chakraborty
Thompson sampling for zero-inflated count outcomes with an application to the Drink Less mobile health study. CoRR (2023)
Tanujit Chakraborty, Ujjwal Reddy K. S, Shraddha M. Naik, Madhurima Panja, Bayapureddy Manvitha
Ten Years of Generative Adversarial Nets (GANs): A survey of the state-of-the-art. CoRR (2023)
Lena Sasal, Tanujit Chakraborty, Abdenour Hadid
W-Transformers: A Wavelet-based Transformer Framework for Univariate Time Series Forecasting. ICMLA (2022)
Madhurima Panja, Tanujit Chakraborty, Uttam Kumar, Nan Liu
Epicasting: An Ensemble Wavelet Neural Network (EWNet) for Forecasting Epidemics. CoRR (2022)
Madhurima Panja, Uttam Kumar, Tanujit Chakraborty
An Interpretable Probabilistic Autoregressive Neural Network Model for Time Series Forecasting. CoRR (2022)
Madhurima Panja, Tanujit Chakraborty, Sk. Shahid Nadim, Indrajit Ghosh, Uttam Kumar, Nan Liu
An ensemble neural network approach to forecast Dengue outbreak based on climatic condition. CoRR (2022)
Lena Sasal, Tanujit Chakraborty, Abdenour Hadid
W-Transformers : A Wavelet-based Transformer Framework for Univariate Time Series Forecasting. CoRR (2022)
Tanujit Chakraborty, Swarup Chattopadhyay, Suchismita Das, Uttam Kumar, J. Senthilnath
Searching for Heavy-Tailed Probability Distributions for Modeling Real-World Complex Networks. IEEE Access 10 (2022)
Zakaria Elabid, Tanujit Chakraborty, Abdenour Hadid
Knowledge-based Deep Learning for Modeling Chaotic Systems. ICMLA (2022)
Zakaria Elabid, Tanujit Chakraborty, Abdenour Hadid
Knowledge-based Deep Learning for Modeling Chaotic Systems. CoRR (2022)
Swarup Chattopadhyay, Tanujit Chakraborty, Kuntal Ghosh, Asit Kumar Das
Uncovering patterns in heavy-tailed networks : A journey beyond scale-free. COMAD/CODS (2021)
Tanujit Chakraborty, Ashis Kumar Chakraborty
Hellinger Net: A Hybrid Imbalance Learning Model to Improve Software Defect Prediction. IEEE Trans. Reliab. 70 (2) (2021)
Arnob Ray, Tanujit Chakraborty, Dibakar Ghosh
Optimized ensemble deep learning framework for scalable forecasting of dynamics containing extreme events. CoRR (2021)
Arinjita Bhattacharyya, Swarup Chattopadhyay, Monalisha Pattnaik, Tanujit Chakraborty
Theta Autoregressive Neural Network: A Hybrid Time Series Model for Pandemic Forecasting. IJCNN (2021)
Swarup Chattopadhyay, Tanujit Chakraborty, Kuntal Ghosh, Asit Kumar Das
Modified Lomax model: a heavy-tailed distribution for fitting large-scale real-world complex networks. Soc. Netw. Anal. Min. 11 (1) (2021)
Indrajit Ghosh, Tanujit Chakraborty
An integrated deterministic-stochastic approach for forecasting the long-term trajectories of COVID-19. Int. J. Model. Simul. Sci. Comput. 12 (3) (2021)
Poulami Chowdhury, Tanujit Chakraborty
Multiplicative Error Modeling Approach for Time Series Forecasting. ICCCS (2020)
Kaumil Trivedi, Tanujit Chakraborty
A Hybrid Binary Classifier for Pattern Classification. ICDSE (2019)
Tanujit Chakraborty, Ashis Kumar Chakraborty, Swarup Chattopadhyay
A novel distribution-free hybrid regression model for manufacturing process efficiency improvement. J. Comput. Appl. Math. 362 (2019)
Tanujit Chakraborty, Ashis Kumar Chakraborty
Superensemble classifier for learning from imbalanced business school data set. CoRR (2018)
Tanujit Chakraborty, Ashis Kumar Chakraborty
Superensemble Classifier for Improving Predictions in Imbalanced Datasets. CoRR (2018)