25 citations · 61 across the 8 of their papers we have counts for
8 papers
Isolation forests: looking beyond tree depth
David Cortes
The isolation forest algorithm for outlier detection exploits a simple yet effective observation: if taking some multivariate data and making uniformly random cuts across the featu…
Revisiting randomized choices in isolation forests
David Cortes
Isolation forest or "iForest" is an intuitive and widely used algorithm for anomaly detection that follows a simple yet effective idea: in a given data distribution, if a threshold…
Explainable outlier detection through decision tree conditioning
David Cortes
This work describes an outlier detection procedure (named "OutlierTree") loosely based on the GritBot software developed by RuleQuest research, which works by evaluating and follow…
Distance approximation using Isolation Forests
David Cortes
This work briefly explores the possibility of approximating spatial distance (alternatively, similarity) between data points using the Isolation Forest method envisioned for outlie…
Imputing missing values with unsupervised random trees
David Cortes
This work proposes a non-iterative strategy for missing value imputations which is guided by similarity between observations, but instead of explicitly determining distances or nea…
Adapting multi-armed bandits policies to contextual bandits scenarios
David Cortes
This work explores adaptations of successful multi-armed bandits policies to the online contextual bandits scenario with binary rewards using binary classification algorithms such…