Louise Bloch, Christoph M. Friedrich. Using Bayesian Optimization to Effectively Tune Random Forest and XGBoost Hyperparameters for Early Alzheimer's Disease Diagnosis. In Juan Ye, Michael J. O'Grady, Gabriele Civitarese, Kristina Yordanova, editors, Wireless Mobile Communication and Healthcare - 9th EAI International Conference, MobiHealth 2020, Virtual Event, November 19, 2020, Proceedings. Volume 362 of Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, pages 285-299, Springer, 2020. [doi]
@inproceedings{BlochF20,
title = {Using Bayesian Optimization to Effectively Tune Random Forest and XGBoost Hyperparameters for Early Alzheimer's Disease Diagnosis},
author = {Louise Bloch and Christoph M. Friedrich},
year = {2020},
doi = {10.1007/978-3-030-70569-5_18},
url = {https://doi.org/10.1007/978-3-030-70569-5_18},
researchr = {https://researchr.org/publication/BlochF20},
cites = {0},
citedby = {0},
pages = {285-299},
booktitle = {Wireless Mobile Communication and Healthcare - 9th EAI International Conference, MobiHealth 2020, Virtual Event, November 19, 2020, Proceedings},
editor = {Juan Ye and Michael J. O'Grady and Gabriele Civitarese and Kristina Yordanova},
volume = {362},
series = {Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering},
publisher = {Springer},
isbn = {978-3-030-70569-5},
}