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Lynn Vonder Haar

Lynn Vonderhaar

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2020 – today

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2024
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  - journals/corr/abs-2401-10790
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Lynn Vonder Haar, Timothy Elvira, Luke Newcomb, Omar Ochoa:
Measuring the Impact of Scene Level Objects on Object Detection: Towards Quantitative Explanations of Detection Decisions. CoRR abs/2401.10790 (2024)
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  - journals/corr/abs-2406-15268
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Lynn Vonderhaar, Timothy Elvira, Tyler Procko, Omar Ochoa:
Towards Robust Training Datasets for Machine Learning with Ontologies: A Case Study for Emergency Road Vehicle Detection. CoRR abs/2406.15268 (2024)
2023
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  - journals/eaai/HaarEO23
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Lynn Vonder Haar, Timothy Elvira, Omar Ochoa:
An analysis of explainability methods for convolutional neural networks. Eng. Appl. Artif. Intell. 117(Part): 105606 (2023)
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  - conf/semco/HaarRPO23
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Lynn Vonder Haar, Sarah A. Reynolds, Tyler Procko, Omar Ochoa:
Validating Security Requirement Specifications through the use of a Knowledge Graph. ICSC 2023: 244-251

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