Learning Simplicial Complexes from Persistence Diagrams. - Robin Lynne Belton; Brittany Terese Fasy; Rostik Mertz; Samuel Micka; David L. Millman; Daniel Salinas; Anna Schenfisch; Jordan Schupbach; Lucia Williams (CCCG, 2018)

Persistent homology for the automatic classification of prostate cancer aggressiveness in histopathology images. - Peter Lawson; Jordan Schupbach; Brittany Terese Fasy; John W. Sheppard (Digital Pathology, 2019)

Quantifying Uncertainty in Neural Network Ensembles using U-Statistics. - Jordan Schupbach; John W. Sheppard; Tyler Forrester (IJCNN, 2020)

Reconstructing embedded graphs from persistence diagrams. - Robin Lynne Belton; Brittany Terese Fasy; Rostik Mertz; Samuel Micka; David L. Millman; Daniel Salinas; Anna Schenfisch; Jordan Schupbach; Lucia Williams (Comput. Geom., 2020)

A Risk-Based Approach to Prognostics and Health Management Combining Bayesian Networks and Continuous-Time Bayesian Networks. - Jordan Schupbach; Elliott Pryor; Kyle Webster; John Sheppard 001 (IEEE Instrum. Meas. Mag., 2023)

The Manifold Density Function: An Intrinsic Method for the Validation of Manifold Learning. - Benjamin Holmgren; Eli Quist; Jordan Schupbach; Brittany Terese Fasy; Bastian Rieck (CoRR, 2024)