291 citations · 426 across the 19 of their papers we have counts for
19 papers
Proceedings of TDA: Applications of Topological Data Analysis to Data Science, Artificial Intelligence, and Machine Learning Workshop at SDM 2022
R. W. R. Darling, John A. Emanuello, Emilie Purvine +1
Topological Data Analysis (TDA) is a rigorous framework that borrows techniques from geometric and algebraic topology, category theory, and combinatorics in order to study the "sha…
Empirical complexity of comparator-based nearest neighbor descent
Jacob D. Baron, R. W. R. Darling
A Java parallel streams implementation of the -nearest neighbor descent algorithm is presented using a natural statistical termination criterion. Input data consist of a set …
Partitioned K-nearest neighbor local depth for scalable comparison-based learning
Jacob D. Baron, R. W. R. Darling, J. Laylon Davis +1
A triplet comparison oracle on a set takes an object and for any pair declares which of and is more similar to . Parti…
Hidden Ancestor Graphs: Models for Detagging Property Graphs
R. W. R. Darling, Gregory S. Clark, J. D. Tucker
Consider a graph where each vertex is visibly labelled as a member of a distinct class, but also has a hidden binary state: wild or tame. Edges with end points in the same clas…
K-Nearest Neighbor Approximation Via the Friend-of-a-Friend Principle
Jacob D. Baron, R. W. R. Darling
Suppose is an -element set where for each , the elements of are ranked by their similarity to . The -nearest neighbor graph is a directed…
Anomaly Detection and Correction in Large Labeled Bipartite Graphs
R. W. R. Darling, Mark L. Velednitsky
Binary classification problems can be naturally modeled as bipartite graphs, where we attempt to classify right nodes based on their left adjacencies. We consider the case of label…