research
∙
09/11/2023
Subgroup detection in linear growth curve models with generalized linear mixed model (GLMM) trees
Growth curve models are popular tools for studying the development of a ...
share
research
∙
10/26/2022
Imputation of missing values in multi-view data
When missing values occur in multi-view data, all features in a view are...
research
∙
09/28/2021
Improved prediction rule ensembling through model-based data generation
Prediction rule ensembles (PRE) provide interpretable prediction models ...
research
∙
08/12/2021
Analyzing hierarchical multi-view MRI data with StaPLR: An application to Alzheimer's disease classification
Multi-view data refers to a setting where features are divided into feat...
research
∙
10/30/2020
View selection in multi-view stacking: Choosing the meta-learner
Multi-view stacking is a framework for combining information from differ...
research
∙
11/26/2019
The Early Roots of Statistical Learning in the Psychometric Literature: A review and two new results
Machine and Statistical learning techniques become more and more importa...
research
∙
07/11/2019
Fitting Prediction Rule Ensembles to Psychological Research Data: An Introduction and Tutorial
Prediction rule ensembles (PREs) are a relatively new statistical learni...
research
∙
11/06/2018
Stacked Penalized Logistic Regression for Selecting Views in Multi-View Learning
In multi-view learning, features are organized into multiple sets called...
research
∙
07/22/2017
