Enhancing Visual Interpretability and Explainability in Functional Survival Trees and Forests
Enriched Functional Tree-Based Classifiers: A Novel Approach Leveraging Derivatives and Geometric Features
Functional Clustering of Discount Functions for Behavioral Investor Profiling
Randomized Spline Trees for Functional Data Classification: Theory and Application to Environmental Time Series
Augmented Functional Random Forests: Classifier Construction and Unbiased Functional Principal Components Importance through Ad-Hoc Conditional Permutations
Demystifying Functional Random Forests: Novel Explainability Tools for Model Transparency in High-Dimensional Spaces
