Citation

If you use STREAMLINE in academic work, please cite both the original STREAMLINE method paper and the biomedical application preprint. The method paper describes the original STREAMLINE design and earlier public implementation, while the biomedical application preprint demonstrates STREAMLINE in a large applied biomedical analysis. The current repository includes later extensions and updates beyond both publications.

STREAMLINE Method Paper

This book chapter describes the original STREAMLINE method and earlier public implementation.

Urbanowicz, R., Zhang, R., Cui, Y., Suri, P. (2023). STREAMLINE: A Simple, Transparent, End-To-End Automated Machine Learning Pipeline Facilitating Data Analysis and Algorithm Comparison. In: Trujillo, L., Winkler, S.M., Silva, S., Banzhaf, W. (eds) Genetic Programming Theory and Practice XIX. Genetic and Evolutionary Computation. Springer, Singapore.

BibTeX:

@incollection{Urbanowicz2023STREAMLINE,
  author    = {Urbanowicz, Ryan J. and Zhang, Robert and Cui, Yuhan and Suri, Pranshu},
  editor    = {Trujillo, Leonardo and Winkler, Stephan M. and Silva, Sara and Banzhaf, Wolfgang},
  title     = {STREAMLINE: A Simple, Transparent, End-To-End Automated Machine Learning Pipeline Facilitating Data Analysis and Algorithm Comparison},
  booktitle = {Genetic Programming Theory and Practice XIX},
  series    = {Genetic and Evolutionary Computation},
  pages     = {201--231},
  year      = {2023},
  publisher = {Springer, Singapore},
  doi       = {10.1007/978-981-19-8460-0_9},
  url       = {https://doi.org/10.1007/978-981-19-8460-0_9}
}

Biomedical Application Preprint

Urbanowicz, R.J., Bandhey, H., Keenan, B.T., Maislin, G., Hwang, S., Mowery, D.L., Lynch, S.M., Mazzotti, D.R., Han, F., Li, Q.Y., Penzel, T., Tufik, S., Bittencourt, L., Gislason, T., de Chazal, P., Singh, B., McArdle, N., Chen, N.H., Pack, A., Schwab, R.J., Cistulli, P.A., Magalang, U.J. (2023). STREAMLINE: An Automated Machine Learning Pipeline for Biomedicine Applied to Examine the Utility of Photography-Based Phenotypes for OSA Prediction Across International Sleep Centers. arXiv:2312.05461.

BibTeX:

@misc{Urbanowicz2023STREAMLINEBiomedicine,
  author        = {Urbanowicz, Ryan J. and Bandhey, Harsh and Keenan, Brendan T. and Maislin, Greg and Hwang, Sy and Mowery, Danielle L. and Lynch, Shannon M. and Mazzotti, Diego R. and Han, Fang and Li, Qing Yun and Penzel, Thomas and Tufik, Sergio and Bittencourt, Lia and Gislason, Thorarinn and de Chazal, Philip and Singh, Bhajan and McArdle, Nigel and Chen, Ning-Hung and Pack, Allan and Schwab, Richard J. and Cistulli, Peter A. and Magalang, Ulysses J.},
  title         = {STREAMLINE: An Automated Machine Learning Pipeline for Biomedicine Applied to Examine the Utility of Photography-Based Phenotypes for OSA Prediction Across International Sleep Centers},
  year          = {2023},
  eprint        = {2312.05461},
  archivePrefix = {arXiv},
  primaryClass  = {cs.LG},
  doi           = {10.48550/arXiv.2312.05461},
  url           = {https://doi.org/10.48550/arXiv.2312.05461}
}