16 citations · 20 across the 3 of their papers we have counts for
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stat.ML2022★ 4 cited
Geometry- and Accuracy-Preserving Random Forest Proximities
Jake S. Rhodes, Adele Cutler, Kevin R. Moon
Random forests are considered one of the best out-of-the-box classification and regression algorithms due to their high level of predictive performance with relatively little tunin…
stat.ML2020
Supervised Visualization for Data Exploration
Jake S. Rhodes, Adele Cutler, Guy Wolf +1
Dimensionality reduction is often used as an initial step in data exploration, either as preprocessing for classification or regression or for visualization. Most dimensionality re…