ATT-LSTM: An Interpretable Deep Learning Framework for COVID Outbreak Prediction

Neeraj Choudhary, Jimson Mathew, Ranjan Kumar Behera, Zenin Easa Panthakkalakath. ATT-LSTM: An Interpretable Deep Learning Framework for COVID Outbreak Prediction. In Proceedings of the 25th International Conference on Distributed Computing and Networking, ICDCN 2024, Chennai, India, January 4-7, 2024. pages 322-327, ACM, 2024. [doi]

@inproceedings{ChoudharyMBP24,
  title = {ATT-LSTM: An Interpretable Deep Learning Framework for COVID Outbreak Prediction},
  author = {Neeraj Choudhary and Jimson Mathew and Ranjan Kumar Behera and Zenin Easa Panthakkalakath},
  year = {2024},
  doi = {10.1145/3631461.3631959},
  url = {https://doi.org/10.1145/3631461.3631959},
  researchr = {https://researchr.org/publication/ChoudharyMBP24},
  cites = {0},
  citedby = {0},
  pages = {322-327},
  booktitle = {Proceedings of the 25th International Conference on Distributed Computing and Networking, ICDCN 2024, Chennai, India, January 4-7, 2024},
  publisher = {ACM},
}