Jordan Schupbach

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 8

Top Topics

Prostate Cancer

Manifold Learning

Neural Network Ensembles

Histopathology Images

Top Venues

IEEE Instrum. Meas. Mag.

Medical Imaging: Digital Pathology

Publications

Benjamin Holmgren, Eli Quist, Jordan Schupbach, Brittany Terese Fasy, Bastian Rieck
The Manifold Density Function: An Intrinsic Method for the Validation of Manifold Learning. CoRR (2024)
Jordan Schupbach, Elliott Pryor, Kyle Webster, John Sheppard
A Risk-Based Approach to Prognostics and Health Management Combining Bayesian Networks and Continuous-Time Bayesian Networks. IEEE Instrum. Meas. Mag. 26 (5) (2023)
Jordan Schupbach, John W. Sheppard, Tyler Forrester
Quantifying Uncertainty in Neural Network Ensembles using U-Statistics. IJCNN (2020)
Robin Lynne Belton, Brittany Terese Fasy, Rostik Mertz, Samuel Micka, David L. Millman, Daniel Salinas, Anna Schenfisch, Jordan Schupbach, Lucia Williams
Reconstructing embedded graphs from persistence diagrams. Comput. Geom. 90 (2020)
Peter Lawson, Jordan Schupbach, Brittany Terese Fasy, John W. Sheppard
Persistent homology for the automatic classification of prostate cancer aggressiveness in histopathology images. Medical Imaging: Digital Pathology (2019)
Robin Lynne Belton, Brittany Terese Fasy, Rostik Mertz, Samuel Micka, David L. Millman, Daniel Salinas, Anna Schenfisch, Jordan Schupbach, Lucia Williams
Reconstructing Embedded Graphs from Persistence Diagrams. CoRR (2019)
Robin Lynne Belton, Brittany Terese Fasy, Rostik Mertz, Samuel Micka, David L. Millman, Daniel Salinas, Anna Schenfisch, Jordan Schupbach, Lucia Williams
Learning Simplicial Complexes from Persistence Diagrams. CCCG (2018)
Robin Lynne Belton, Brittany Terese Fasy, Rostik Mertz, Samuel Micka, David L. Millman, Daniel Salinas, Anna Schenfisch, Jordan Schupbach, Lucia Williams
Learning Simplicial Complexes from Persistence Diagrams. CoRR (2018)