Cluster-based Data Reduction for Persistent Homology. - Anindya Moitra; Nicholas O. Malott; Philip A. Wilsey (IEEE BigData, 2018)

Fast Computation of Persistent Homology with Data Reduction and Data Partitioning. - Nicholas O. Malott; Philip A. Wilsey (IEEE BigData, 2019)

Topology Preserving Data Reduction for Computing Persistent Homology. - Nicholas O. Malott; Aaron M. Sens; Philip A. Wilsey (IEEE BigData, 2020)

Persistent Homology on Streaming Data. - Anindya Moitra; Nicholas O. Malott; Philip A. Wilsey (ICDM (Workshops), 2020)

Data Reduction and Feature Isolation for Computing Persistent Homology on High Dimensional Data. - Rishi R. Verma; Nicholas O. Malott; Philip A. Wilsey (IEEE BigData, 2021)

Distributed Computation of Persistent Homology from Partitioned Big Data. - Nicholas O. Malott; Rishi R. Verma; Rohit P. Singh; Philip A. Wilsey (CLUSTER, 2021)

Homology-Separating Triangulated Euler Characteristic Curve. - Nicholas O. Malott; Robert R. Lewis; Philip A. Wilsey (ICDM, 2022)

Generating High Dimensional Test Data for Topological Data Analysis. - Rohit P. Singh; Nicholas O. Malott; Blake Sauerwein; Neil Mcgrogan; Philip A. Wilsey (Bench, 2023)

Scalable Homology Classification through Decomposed Euler Characteristic Curves. - Nicholas O. Malott; Philip A. Wilsey (IEEE Big Data, 2023)

A Survey on the High-Performance Computation of Persistent Homology. - Nicholas O. Malott; Shangye Chen; Philip A. Wilsey (IEEE Trans. Knowl. Data Eng., 2023)

Computation of persistent homology on streaming data using topological data summaries. - Anindya Moitra; Nicholas O. Malott; Philip A. Wilsey (Comput. Intell., 2023)

Piecewise Computation of Persistent Homology. - Rohit P. Singh; Nicholas O. Malott; Philip A. Wilsey (IEEE Big Data, 2024)