A stable cardinality distance for topological classification. - Vasileios Maroulas; Cassie Putman Micucci; Adam Spannaus (Adv. Data Anal. Classif., 2020)

Materials Fingerprinting Classification. - Adam Spannaus; Kody J. H. Law; Piotr Luszczek; Farzana Nasrin; Cassie Putman Micucci; Peter K. Liaw; Louis Joseph Santodonato; David J. Keffer; Vasileios Maroulas (Comput. Phys. Commun., 2021)

FrESCO: Framework for Exploring Scalable Computational Oncology. - Adam Spannaus; John Gounley; Mayanka Chandra Shekar; Zachary R. Fox; Jamaludin Mohd-Yusof; Noah Schaefferkoetter; Heidi A. Hanson (J. Open Source Softw., 2023)

Topological Interpretability for Deep Learning. - Adam Spannaus; Heidi A. Hanson; Georgia D. Tourassi; Lynne Penberthy (PASC, 2024)

Investigating the importance of social vulnerability in opioid-related mortality across the United States. - Andrew Deas; Adam Spannaus; Dakotah D. Maguire; Jodie Trafton; Anuj J. Kapadia; Vasileios Maroulas (CoRR, 2024)

Deep learning uncertainty quantification for clinical text classification. - Alina Peluso; Ioana Danciu; Hong-Jun Yoon; Jamaludin Mohd-Yusof; Tanmoy Bhattacharya 001; Adam Spannaus; Noah Schaefferkoetter; Eric B. Durbin; Xiao-Cheng Wu; Antoinette Stroup; Jennifer A. Doherty; Stephen M. Schwartz; et al. (J. Biomed. Informatics, 2024)

Data Assimilation for Robust UQ Within Agent-Based Simulation on HPC Systems. - Adam Spannaus; Sifat Afroj Moon; John Gounley; Heidi A. Hanson (PASC, 2025)

Global explainability of a deep abstaining classifier. - Sayera Dhaubhadel; Jamaludin Mohd-Yusof; Benjamin H. McMahon; Trilce Estrada; Kumkum Ganguly; Adam Spannaus; John P. Gounley; Xiao-Cheng Wu; Eric B. Durbin; Heidi A. Hanson; Tanmoy Bhattacharya 001 (CoRR, 2025)