Using Bayesian Optimization to Effectively Tune Random Forest and XGBoost Hyperparameters for Early Alzheimer's Disease Diagnosis

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]

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