Walter D. Bennette

18 papers B 1C 3Journal 6Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	The Trust Process Applied to Machine Learning Algorithms: The Influence of Calibrated Confidence Estimates. IEEE Trans. Hum. Mach. Syst. Gene M. Alarcon, Sarah A. Jessup, Scott Meyers, Sasha M. Willis, Krista N. Harris, Dexter Johnson, Jacob Noblick, Walter D. Bennette
2025	—	`conf`	Investigating the Effects of Classification Model Error Type on Trust-relevant Criteria in a Human-Machine Learning Interaction Task. HICSS Krista N. Harris, August A. Capiola, Dexter Johnson, Gene M. Alarcon, Sarah A. Jessup, Sasha M. Willis, Walter D. Bennette
2024	—	`conf`	Transparency and trustworthiness: Exploring humanmachine interaction in an image classification task. ICHMS Scott Meyers, August A. Capiola, Gene M. Alarcon, Walter D. Bennette
2024	—	`conf`	Trustworthiness Perceptions of Machine Learning Algorithms: The Influence of Confidence Intervals. ICHMS Gene M. Alarcon, Sarah A. Jessup, Scott Meyers, Dexter Johnson, Walter D. Bennette
2023	J	`jnl`	Establishing baselines and introducing TernaryMixOE for fine-grained out-of-distribution detection. CoRR Noah Fleischmann, Walter D. Bennette, Nathan Inkawhich
2022	C	`conf`	Feature Extraction for Out of Distribution Detection via Self-Supervised Learning. ICMLA Claire Thorp, Sean Sisti, Walter D. Bennette
2021	J	`jnl`	Adaptive Data Compression for Classification Problems. IEEE Access Farhad Pourkamali-Anaraki, Walter D. Bennette
2021	J	`jnl`	Generalized Adversarial Distances to Efficiently Discover Classifier Errors. CoRR Walter D. Bennette, Sally Dufek, Karsten Maurer, Sean Sisti, Bunyod Tusmatov
2021	—	`conf`	Hierarchical Open-Set Recognition for Automatic Target Recognition. SSCI Walter D. Bennette, Nathaniel Hofmann, Nathaniel Wilson, Tyler Witter
2020	C	`conf`	Generalized Adversarial Distances to Efficiently Discover Classifier Errors. ICMLA Walter D. Bennette, Sally Dufek, Karsten Maurer, Sean Sisti, Bunyod Tusmatov
2020	B	`conf`	Harnessing Adversarial Distances to Discover High-Confidence Errors. IJCNN Walter D. Bennette, Karsten Maurer, Sean Sisti
2020	J	`jnl`	Harnessing Adversarial Distances to Discover High-Confidence Errors. CoRR Walter D. Bennette, Karsten Maurer, Sean Sisti
2019	C	`conf`	Facility Locations Utility for Uncovering Classifier Overconfidence. ICMLA Karsten Maurer, Walter D. Bennette
2018	J	`jnl`	Facility Locations Utility for Uncovering Classifier Overconfidence. CoRR Karsten Maurer, Walter D. Bennette
2017	—	`conf`	Classification of objects in geosynchronous earth orbit via light curve analysis. SSCI Walter D. Bennette, Kayla Zeliff, Joseph Raquepas
2017	—	`conf`	Interactive Visual Analysis of Traffic Patterns: Ecological Impact within a Nature Preserve (VAST Challenge 2017). VAST Allison Montroy, Tyler Witter, Christopher Banas, Walter D. Bennette
2016	—	`conf`	A Data Driven Stopping Criterion for Evolutionary Instance Selection. UKCI Walter D. Bennette
2014	—	`—`	Instance selection for model-based classifiers. Walter D. Bennette