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ORCIDTanujit Chakraborty
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Journal Articles
- 2024
[j8]Abdenour Hadid
, Tanujit Chakraborty, Daniel Busby:
When geoscience meets generative AI and large language models: Foundations, trends, and future challenges. Expert Syst. J. Knowl. Eng. 41(10) (2024)- [j7]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): 11001 (2024) - 2023
- [j6]Madhurima Panja, Tanujit Chakraborty, Uttam Kumar, Nan Liu:
Epicasting: An Ensemble Wavelet Neural Network for forecasting epidemics. Neural Networks 165: 185-212 (2023) - 2022
- [j5]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: 115092-115107 (2022) - 2021
- [j4]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): 2141001:1-2141001:13 (2021) - [j3]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): 43 (2021) - [j2]Tanujit Chakraborty, Ashis Kumar Chakraborty:
Hellinger Net: A Hybrid Imbalance Learning Model to Improve Software Defect Prediction. IEEE Trans. Reliab. 70(2): 481-494 (2021) - 2019
- [j1]Tanujit Chakraborty, Ashis Kumar Chakraborty, Swarup Chattopadhyay:
A novel distribution-free hybrid regression model for manufacturing process efficiency improvement. J. Comput. Appl. Math. 362: 130-142 (2019)
Conference and Workshop Papers
- 2024
- [c9]Payel Sadhukhan, Tanujit Chakraborty, Kausik Sengupta:
Deploying model obfuscation: towards the privacy of decision-making models on shared platforms. AMCIS 2024 - [c8]Payel Sadhukhan, Kausik Sengupta, Sarbani Palit, Tanujit Chakraborty:
Knowing the class distinguishing abilities of the features, to build better decision-making models. AMCIS 2024 - 2023
- [c7]Madhurima Panja, Tanujit Chakraborty, Uttam Kumar, Abdenour Hadid:
Probabilistic AutoRegressive Neural Networks for Accurate Long-Range Forecasting. ICONIP (13) 2023: 457-477 - 2022
- [c6]Lena Sasal, Tanujit Chakraborty, Abdenour Hadid:
W-Transformers: A Wavelet-based Transformer Framework for Univariate Time Series Forecasting. ICMLA 2022: 671-676 - [c5]Zakaria Elabid, Tanujit Chakraborty, Abdenour Hadid:
Knowledge-based Deep Learning for Modeling Chaotic Systems. ICMLA 2022: 1203-1209 - 2021
- [c4]Swarup Chattopadhyay, Tanujit Chakraborty, Kuntal Ghosh, Asit Kumar Das:
Uncovering patterns in heavy-tailed networks : A journey beyond scale-free. COMAD/CODS 2021: 136-144 - [c3]Arinjita Bhattacharyya, Swarup Chattopadhyay, Monalisha Pattnaik, Tanujit Chakraborty:
Theta Autoregressive Neural Network: A Hybrid Time Series Model for Pandemic Forecasting. IJCNN 2021: 1-8 - 2020
- [c2]Poulami Chowdhury, Tanujit Chakraborty:
Multiplicative Error Modeling Approach for Time Series Forecasting. ICCCS 2020: 1-4 - 2019
- [c1]Kaumil Trivedi, Tanujit Chakraborty:
A Hybrid Binary Classifier for Pattern Classification. ICDSE 2019: 51-54
Informal and Other Publications
- 2024
- [i18]Abdenour Hadid, Tanujit Chakraborty, Daniel Busby:
When Geoscience Meets Generative AI and Large Language Models: Foundations, Trends, and Future Challenges. CoRR abs/2402.03349 (2024) - [i17]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 abs/2403.06999 (2024) - [i16]Jintu Borah, Tanujit Chakraborty, Md. Shahrul Md. Nadzir, Mylene G. Cayetano, Shubhankar Majumdar:
WaveCatBoost for Probabilistic Forecasting of Regional Air Quality Data. CoRR abs/2404.05482 (2024) - [i15]Payel Sadhukhan, Tanujit Chakraborty:
Footprints of Data in a Classifier Model: The Privacy Issues and Their Mitigation through Data Obfuscation. CoRR abs/2407.02268 (2024) - [i14]Yash Jakhmola, Nitish Kumar Mishra, Kripabandhu Ghosh, Tanujit Chakraborty:
Wavelet-based Temporal Attention Improves Traffic Forecasting. CoRR abs/2407.04440 (2024) - [i13]Tanujit Chakraborty, Shraddha M. Naik, Swarup Chattopadhyay, Suchismita Das:
Learning Patterns from Biological Networks: A Compounded Burr Probability Model. CoRR abs/2407.04465 (2024) - 2023
- [i12]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 abs/2306.05951 (2023) - [i11]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 abs/2308.16316 (2023) - [i10]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 abs/2311.14359 (2023) - [i9]Shraddha M. Naik, Tanujit Chakraborty, Abdenour Hadid, Bibhas Chakraborty:
Skew Probabilistic Neural Networks for Learning from Imbalanced Data. CoRR abs/2312.05878 (2023) - 2022
- [i8]Madhurima Panja, Uttam Kumar, Tanujit Chakraborty:
An Interpretable Probabilistic Autoregressive Neural Network Model for Time Series Forecasting. CoRR abs/2204.09640 (2022) - [i7]Madhurima Panja, Tanujit Chakraborty, Uttam Kumar, Nan Liu:
Epicasting: An Ensemble Wavelet Neural Network (EWNet) for Forecasting Epidemics. CoRR abs/2206.10696 (2022) - [i6]Lena Sasal, Tanujit Chakraborty, Abdenour Hadid:
W-Transformers : A Wavelet-based Transformer Framework for Univariate Time Series Forecasting. CoRR abs/2209.03945 (2022) - [i5]Zakaria Elabid, Tanujit Chakraborty, Abdenour Hadid:
Knowledge-based Deep Learning for Modeling Chaotic Systems. CoRR abs/2209.04259 (2022) - [i4]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 abs/2212.08323 (2022) - 2021
- [i3]Arnob Ray, Tanujit Chakraborty, Dibakar Ghosh:
Optimized ensemble deep learning framework for scalable forecasting of dynamics containing extreme events. CoRR abs/2106.08968 (2021) - 2018
- [i2]Tanujit Chakraborty, Ashis Kumar Chakraborty:
Superensemble classifier for learning from imbalanced business school data set. CoRR abs/1805.12381 (2018) - [i1]Tanujit Chakraborty, Ashis Kumar Chakraborty:
Superensemble Classifier for Improving Predictions in Imbalanced Datasets. CoRR abs/1810.11317 (2018)
Coauthor Index
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