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06/15/2021
Employing an Adjusted Stability Measure for Multi-Criteria Model Fitting on Data Sets with Similar Features
Fitting models with high predictive accuracy that include all relevant b...
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05/19/2021
Improving Adaptive Seamless Designs through Bayesian optimization
We propose to use Bayesian optimization (BO) to improve the efficiency o...
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09/25/2020
Adjusted Measures for Feature Selection Stability for Data Sets with Similar Features
For data sets with similar features, for example highly correlated featu...
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08/14/2020
Feature Selection Methods for Cost-Constrained Classification in Random Forests
Cost-sensitive feature selection describes a feature selection problem, ...
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08/12/2020
Implications on Feature Detection when using the Benefit-Cost Ratio
In many practical machine learning applications, there are two objective...
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04/16/2020
Combining heterogeneous subgroups with graph-structured variable selection priors for Cox regression
Important objectives in cancer research are the prediction of a patient'...
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03/19/2020
Weighted Cox regression for the prediction of heterogeneous patient subgroups
An important task in clinical medicine is the construction of risk predi...
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02/24/2019
High Dimensional Restrictive Federated Model Selection with multi-objective Bayesian Optimization over shifted distributions
A novel machine learning optimization process coined Restrictive Federat...
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06/16/2016