Jordan Schupbach

According to our database, Jordan Schupbach authored at least 6 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

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

2023

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

IEEE Instrum. Meas. Mag., August, 2023

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

Quantifying Uncertainty in Neural Network Ensembles using U-Statistics.

Jordan Schupbach, John W. Sheppard, Tyler Forrester

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

2019

Persistent homology for the automatic classification of prostate cancer aggressiveness in histopathology images.

Peter Lawson, Jordan Schupbach, Brittany Terese Fasy, John W. Sheppard

Proceedings of the Medical Imaging 2019: Digital Pathology, 2019

2018

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

Proceedings of the 30th Canadian Conference on Computational Geometry, 2018