Walter D. Bennette

18 papers B 1C 3Journal 6Unranked 7
YearRankTypeTitle / 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