2 papers
cs.LG2025
The Generalized Proximity Forest
Ben Shaw, Adam Rustad, Sofia Pelagalli Maia +2
Recent work has demonstrated the utility of Random Forest (RF) proximities for various supervised machine learning tasks, including outlier detection, missing data imputation, and…
stat.ML2025
Label-Guided Imputation via Forest-Based Proximities for Improved Time Series Classification
Jake S. Rhodes, Adam G. Rustad, Sofia Pelagalli Maia +5
Missing data is a common problem in time series data. Most methods for imputation ignore label information pertaining to the time series even if that information exists. In this pa…