Ten years of generative adversarial nets (GANs): a survey of the state-of-the-art T Chakraborty, UR KS, SM Naik, M Panja, B Manvitha Machine Learning: Science and Technology 5 (1), 011001, 2024 | 71 | 2024 |
An ensemble neural network approach to forecast Dengue outbreak based on climatic condition M Panja, T Chakraborty, SS Nadim, I Ghosh, U Kumar, N Liu Chaos, Solitons & Fractals 167, 113124, 2023 | 29 | 2023 |
Epicasting: An Ensemble Wavelet Neural Network for forecasting epidemics M Panja, T Chakraborty, U Kumar, N Liu Neural Networks, 2023 | 18 | 2023 |
Probabilistic autoregressive neural networks for accurate long-range forecasting M Panja, T Chakraborty, U Kumar, A Hadid International Conference on Neural Information Processing, 457-477, 2023 | 11* | 2023 |
Van der pol-informed neural networks for multi-step-ahead forecasting of extreme climatic events A Dutta, M Panja, U Kumar, C Hens, T Chakraborty NeurIPS 2023 AI for science workshop, 2023 | 2 | 2023 |
Epidemic-guided deep learning for spatiotemporal forecasting of Tuberculosis outbreak M Barman, M Panja, N Mishra, T Chakraborty arXiv preprint arXiv:2502.10786, 2025 | | 2025 |
Spatiotemporal Forecasting of Traffic Flow using Wavelet-based Temporal Attention Y Jakhmola, M Panja, NK Mishra, K Ghosh, U Kumar, T Chakraborty IEEE Access, 2024 | | 2024 |
Skew-Probabilistic Neural Networks for Learning from Imbalanced Data SM Naik, T Chakraborty, M Panja, A Hadid, B Chakraborty arXiv preprint, 2024 | | 2024 |
E-STGCN: Extreme Spatiotemporal Graph Convolutional Networks for Air Quality Forecasting M Panja, T Chakraborty, A Biswas, S Deb arXiv preprint arXiv:2411.12258, 2024 | | 2024 |
Package ‘epicasting’ M Panja, T Chakraborty | | 2023 |