Jump to content

Fachhochschule Dortmund

Language

Search
All Publications
All Publications

Using Bayesian optimization to effectively tune random forest and XGBoost hyperparameters for early Alzheimer's disease diagnosis

Fast facts

  • Internal authorship

  • Publishment

    • 2021

  • Anthology

    Wireless Mobile Communication and Healthcare : 9th EAI International Conference, MobiHealth 2020, Virtual Event, November 19, 2020, Proceedings

  • Organizational unit

    Computer science

  • Subjects

    • Computer science in general

  • Publication format

    Anthology contribution (Article)

Quote

L. Bloch and C. M. Friedrich, "Using Bayesian optimization to effectively tune random forest and XGBoost hyperparameters for early Alzheimer's disease diagnosis," in Wireless Mobile Communication and Healthcare : 9th EAI International Conference, MobiHealth 2020, Virtual Event, November 19, 2020, Proceedings, Cham: Springer International Publishing, 2021, pp. 285-299.

Notes and references

This site uses cookies to ensure the functionality of the website and to collect statistical data. You can object to the statistical collection via the data protection settings (opt-out).

Settings(Opens in a new tab)