An Initial Study of Machine Learning Underspecification Using Feature Attribution Explainable AI Algorithms: A COVID-19 Virus Transmission Case Study

James Hinns, Xiuyi Fan, Siyuan Liu, Veera Raghava Reddy Kovvuri, Mehmet Orcun Yalcin, Markus Roggenbach. An Initial Study of Machine Learning Underspecification Using Feature Attribution Explainable AI Algorithms: A COVID-19 Virus Transmission Case Study. In Duc Nghia Pham, Thanaruk Theeramunkong, Guido Governatori, Fenrong Liu, editors, PRICAI 2021: Trends in Artificial Intelligence - 18th Pacific Rim International Conference on Artificial Intelligence, PRICAI 2021, Hanoi, Vietnam, November 8-12, 2021, Proceedings, Part I. Volume 13031 of Lecture Notes in Computer Science, pages 323-335, Springer, 2021. [doi]

@inproceedings{HinnsFLKYR21,
  title = {An Initial Study of Machine Learning Underspecification Using Feature Attribution Explainable AI Algorithms: A COVID-19 Virus Transmission Case Study},
  author = {James Hinns and Xiuyi Fan and Siyuan Liu and Veera Raghava Reddy Kovvuri and Mehmet Orcun Yalcin and Markus Roggenbach},
  year = {2021},
  doi = {10.1007/978-3-030-89188-6_24},
  url = {https://doi.org/10.1007/978-3-030-89188-6_24},
  researchr = {https://researchr.org/publication/HinnsFLKYR21},
  cites = {0},
  citedby = {0},
  pages = {323-335},
  booktitle = {PRICAI 2021: Trends in Artificial Intelligence - 18th Pacific Rim International Conference on Artificial Intelligence, PRICAI 2021, Hanoi, Vietnam, November 8-12, 2021, Proceedings, Part I},
  editor = {Duc Nghia Pham and Thanaruk Theeramunkong and Guido Governatori and Fenrong Liu},
  volume = {13031},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-030-89188-6},
}