Supervised Visualization for Data Exploration. - Jake S. Rhodes; Adele Cutler; Guy Wolf; Kevin R. Moon (CoRR, 2020)

Random Forest-Based Diffusion Information Geometry for Supervised Visualization and Data Exploration. - Jake S. Rhodes; Adele Cutler; Guy Wolf; Kevin R. Moon (SSP, 2021)

Supervised Manifold Learning via Random Forest Geometry-Preserving Proximities. - Jake S. Rhodes (CoRR, 2023)

Geometry- and Accuracy-Preserving Random Forest Proximities. - Jake S. Rhodes; Adele Cutler; Kevin R. Moon (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Random Forest-Supervised Manifold Alignment. - Jake S. Rhodes; Adam G. Rustad (IEEE Big Data, 2024)

Graph Integration for Diffusion-Based Manifold Alignment. - Jake S. Rhodes; Adam G. Rustad (ICMLA, 2024)

Enhancing Supervised Visualization Through Autoencoder and Random Forest Proximities for Out-of-Sample Extension. - Shuang Ni; Adrien Aumon; Guy Wolf; Kevin R. Moon; Jake S. Rhodes (MLSP, 2024)

Forest Proximities for Time Series. - Ben Shaw 003; Jake S. Rhodes; Soukaina Filali Boubrahimi; Kevin R. Moon (CoRR, 2024)

Random Forest Autoencoders for Guided Representation Learning. - Adrien Aumon; Shuang Ni; Myriam Lizotte; Guy Wolf; Kevin R. Moon; Jake S. Rhodes (CoRR, 2025)