Synthesizing Effective Diagnostic Models from Small Samples using Structural Machine Learning: a Case Study in Automating COVID-19 Diagnosis

Piotr Kaszuba, Andrew Turner, Bartosz Mikulski, Nl Shasha Jumbe, Andreas Schuh, Michael Morimoto, Peter Rexelius, Ryan Hafen, Ron Deiotte, Kevin Hammond, Jerry Swan, Krzysztof Krawiec. Synthesizing Effective Diagnostic Models from Small Samples using Structural Machine Learning: a Case Study in Automating COVID-19 Diagnosis. In Sara Silva, Luís Paquete, editors, Companion Proceedings of the Conference on Genetic and Evolutionary Computation, GECCO 2023, Companion Volume, Lisbon, Portugal, July 15-19, 2023. pages 727-730, ACM, 2023. [doi]

@inproceedings{KaszubaTMJSMRHD23,
  title = {Synthesizing Effective Diagnostic Models from Small Samples using Structural Machine Learning: a Case Study in Automating COVID-19 Diagnosis},
  author = {Piotr Kaszuba and Andrew Turner and Bartosz Mikulski and Nl Shasha Jumbe and Andreas Schuh and Michael Morimoto and Peter Rexelius and Ryan Hafen and Ron Deiotte and Kevin Hammond and Jerry Swan and Krzysztof Krawiec},
  year = {2023},
  doi = {10.1145/3583133.3590598},
  url = {https://doi.org/10.1145/3583133.3590598},
  researchr = {https://researchr.org/publication/KaszubaTMJSMRHD23},
  cites = {0},
  citedby = {0},
  pages = {727-730},
  booktitle = {Companion Proceedings of the Conference on Genetic and Evolutionary Computation, GECCO 2023, Companion Volume, Lisbon, Portugal, July 15-19, 2023},
  editor = {Sara Silva and Luís Paquete},
  publisher = {ACM},
}