Olivia Milam, Haroon Malik, Sarah Surber. Digital Canaries: Identifying Hazardous Patterns in Msha Data Using A Machine Learner. In Elhadi M. Shakshuki, Ansar-Ul-Haque Yasar, editors, The 11th International Conference on Emerging Ubiquitous Systems and Pervasive Networks (EUSPN 2020) / The 10th International Conference on Current and Future Trends of Information and Communication Technologies in Healthcare (ICTH-2020) / Affiliated Workshops, Madeira, Portugal, November 2-5, 2020. Volume 177 of Procedia Computer Science, pages 227-233, Elsevier, 2020. [doi]
@inproceedings{MilamMS20,
title = {Digital Canaries: Identifying Hazardous Patterns in Msha Data Using A Machine Learner},
author = {Olivia Milam and Haroon Malik and Sarah Surber},
year = {2020},
doi = {10.1016/j.procs.2020.10.032},
url = {https://doi.org/10.1016/j.procs.2020.10.032},
researchr = {https://researchr.org/publication/MilamMS20},
cites = {0},
citedby = {0},
pages = {227-233},
booktitle = {The 11th International Conference on Emerging Ubiquitous Systems and Pervasive Networks (EUSPN 2020) / The 10th International Conference on Current and Future Trends of Information and Communication Technologies in Healthcare (ICTH-2020) / Affiliated Workshops, Madeira, Portugal, November 2-5, 2020},
editor = {Elhadi M. Shakshuki and Ansar-Ul-Haque Yasar},
volume = {177},
series = {Procedia Computer Science},
publisher = {Elsevier},
}