Walter D. Bennette

According to our database, Walter D. Bennette authored at least 13 papers between 2016 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Investigating the Effects of Classification Model Error Type on Trust-relevant Criteria in a Human-Machine Learning Interaction Task.

Krista N. Harris, August A. Capiola, Dexter Johnson, Gene M. Alarcon, Sarah A. Jessup, Sasha M. Willis, Walter D. Bennette

Proceedings of the 58th Hawaii International Conference on System Sciences, 2025

2024

Transparency and trustworthiness: Exploring humanmachine interaction in an image classification task.

Scott Meyers, August A. Capiola, Gene M. Alarcon, Walter D. Bennette

Proceedings of the 4th IEEE International Conference on Human-Machine Systems, 2024

Trustworthiness Perceptions of Machine Learning Algorithms: The Influence of Confidence Intervals.

Gene M. Alarcon, Sarah A. Jessup, Scott Meyers, Dexter Johnson, Walter D. Bennette

Proceedings of the 4th IEEE International Conference on Human-Machine Systems, 2024

2023

Establishing baselines and introducing TernaryMixOE for fine-grained out-of-distribution detection.

Noah Fleischmann, Walter D. Bennette, Nathan Inkawhich

CoRR, 2023

2022

Feature Extraction for Out of Distribution Detection via Self-Supervised Learning.

Claire Thorp, Sean Sisti, Walter D. Bennette

Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022

2021

Adaptive Data Compression for Classification Problems.

Farhad Pourkamali-Anaraki, Walter D. Bennette

IEEE Access, 2021

Hierarchical Open-Set Recognition for Automatic Target Recognition.

Walter D. Bennette, Nathaniel Hofmann, Nathaniel Wilson, Tyler Witter

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021

2020

Harnessing Adversarial Distances to Discover High-Confidence Errors.

Walter D. Bennette, Karsten Maurer, Sean Sisti

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Generalized Adversarial Distances to Efficiently Discover Classifier Errors.

Walter D. Bennette, Sally Dufek, Karsten Maurer, Sean Sisti, Bunyod Tusmatov

Proceedings of the 19th IEEE International Conference on Machine Learning and Applications, 2020

2019

Facility Locations Utility for Uncovering Classifier Overconfidence.

Karsten Maurer, Walter D. Bennette

Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019

2017

Classification of objects in geosynchronous earth orbit via light curve analysis.

Walter D. Bennette, Kayla Zeliff, Joseph Raquepas

Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

Interactive Visual Analysis of Traffic Patterns: Ecological Impact within a Nature Preserve (VAST Challenge 2017).

Allison Montroy, Tyler Witter, Christopher Banas, Walter D. Bennette

Proceedings of the 12th IEEE Conference on Visual Analytics Science and Technology, 2017

2016

A Data Driven Stopping Criterion for Evolutionary Instance Selection.

Walter D. Bennette

Proceedings of the Advances in Computational Intelligence Systems, 2016