A Data Driven Stopping Criterion for Evolutionary Instance Selection. - Walter D. Bennette (UKCI, 2016)

Interactive Visual Analysis of Traffic Patterns: Ecological Impact within a Nature Preserve (VAST Challenge 2017). - Allison Montroy; Tyler Witter; Christopher Banas; Walter D. Bennette (VAST, 2017)

Classification of objects in geosynchronous earth orbit via light curve analysis. - Walter D. Bennette; Kayla Zeliff; Joseph Raquepas (SSCI, 2017)

Facility Locations Utility for Uncovering Classifier Overconfidence. - Karsten Maurer; Walter D. Bennette (ICMLA, 2019)

Generalized Adversarial Distances to Efficiently Discover Classifier Errors. - Walter D. Bennette; Sally Dufek; Karsten Maurer; Sean Sisti; Bunyod Tusmatov (ICMLA, 2020)

Harnessing Adversarial Distances to Discover High-Confidence Errors. - Walter D. Bennette; Karsten Maurer; Sean Sisti (IJCNN, 2020)

Hierarchical Open-Set Recognition for Automatic Target Recognition. - Walter D. Bennette; Nathaniel Hofmann; Nathaniel Wilson; Tyler Witter (SSCI, 2021)

Adaptive Data Compression for Classification Problems. - Farhad Pourkamali-Anaraki; Walter D. Bennette (IEEE Access, 2021)

Feature Extraction for Out of Distribution Detection via Self-Supervised Learning. - Claire Thorp; Sean Sisti; Walter D. Bennette (ICMLA, 2022)

Establishing baselines and introducing TernaryMixOE for fine-grained out-of-distribution detection. - Noah Fleischmann; Walter D. Bennette; Nathan Inkawhich (CoRR, 2023)

Trustworthiness Perceptions of Machine Learning Algorithms: The Influence of Confidence Intervals. - Gene M. Alarcon; Sarah A. Jessup; Scott Meyers; Dexter Johnson; Walter D. Bennette (ICHMS, 2024)

Transparency and trustworthiness: Exploring humanmachine interaction in an image classification task. - Scott Meyers; August A. Capiola; Gene M. Alarcon; Walter D. Bennette (ICHMS, 2024)