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GI | Articles | Volume 9, issue 2
Geosci. Instrum. Method. Data Syst., 9, 267–273, 2020
https://doi.org/10.5194/gi-9-267-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
Geosci. Instrum. Method. Data Syst., 9, 267–273, 2020
https://doi.org/10.5194/gi-9-267-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Research article 09 Jul 2020

Research article | 09 Jul 2020

Auroral classification ergonomics and the implications for machine learning

Derek McKay and Andreas Kvammen

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Cited articles

Brändström, U.: Kiruna All-Sky Camera, Swedish Institute of Space Physics, available at: http://www2.irf.se/allsky/data.html, last access: 7 July 2020. a
Culverhouse, P. F.: Human and machine factors in algae monitoring performance, Ecol. Inform., 2, 361–366, https://doi.org/10.1016/j.ecoinf.2007.07.001, 2007. a, b, c
Culverhouse, P. F., Williams, R., Reguera, B., Herry, V., and González-Gil,  S.: Do experts make mistakes? A comparison of human and machine indentification of dinoflagellates, Mar. Ecol.-Prog. Ser., 247, 17–25, https://doi.org/10.3354/meps247017, 2003. a
Domingos, P.: A unified bias-variance decomposition, in: ICML '00: Proceedings of the Seventeenth International Conference on Machine Learning, edited by: Langley, P., Morgan Kaufmann Publishers Inc., San Francisco, CA, USA, 231–238, 2000. a
Kvammen, A., Wickstrøm, K., McKay, D., and Partamies, N.: Auroral Image Classification with Deep Neural Networks, https://doi.org/10.1002/essoar.10501968.1 online first, 2020a. a, b, c, d
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Researchers are making increasing use of machine learning to improve accuracy, efficiency and consistency. During such a study of the aurora, it was noted that biases or distortions had crept into the data because of the conditions (or ergonomics) of the human trainers. As using machine-learning techniques in auroral research is relatively new, it is critical that such biases are brought to the attention of the academic and citizen science communities.
Researchers are making increasing use of machine learning to improve accuracy, efficiency and...
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