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09/11/2023
Know What Not To Know: Users' Perception of Abstaining Classifiers
Machine learning systems can help humans to make decisions by providing ...
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08/01/2023
Is Last Layer Re-Training Truly Sufficient for Robustness to Spurious Correlations?
Models trained with empirical risk minimization (ERM) are known to learn...
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07/26/2023
The Co-12 Recipe for Evaluating Interpretable Part-Prototype Image Classifiers
Interpretable part-prototype models are computer vision models that are ...
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07/24/2023
Guidance in Radiology Report Summarization: An Empirical Evaluation and Error Analysis
Automatically summarizing radiology reports into a concise impression ca...
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07/19/2023
Interpreting and Correcting Medical Image Classification with PIP-Net
Part-prototype models are explainable-by-design image classifiers, and a...
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02/13/2023
How Accurate Does It Feel? – Human Perception of Different Types of Classification Mistakes
Supervised machine learning utilizes large datasets, often with ground t...
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09/06/2022
Explaining Machine Learning Models in Natural Conversations: Towards a Conversational XAI Agent
The goal of Explainable AI (XAI) is to design methods to provide insight...
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01/20/2022
From Anecdotal Evidence to Quantitative Evaluation Methods: A Systematic Review on Evaluating Explainable AI
The rising popularity of explainable artificial intelligence (XAI) to un...
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01/13/2022
Towards a trustworthy, secure and reliable enclave for machine learning in a hospital setting: The Essen Medical Computing Platform (EMCP)
AI/Computing at scale is a difficult problem, especially in a health car...
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12/03/2020
Neural Prototype Trees for Interpretable Fine-grained Image Recognition
Interpretable machine learning addresses the black-box nature of deep ne...
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11/05/2020
This Looks Like That, Because ... Explaining Prototypes for Interpretable Image Recognition
Image recognition with prototypes is considered an interpretable alterna...
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04/29/2020
Automated Retrieval of ATT CK Tactics and Techniques for Cyber Threat Reports
Over the last years, threat intelligence sharing has steadily grown, lea...
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01/16/2020
Comparing Rule-based, Feature-based and Deep Neural Methods for De-identification of Dutch Medical Records
Unstructured information in electronic health records provide an invalua...
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07/26/2019
How model accuracy and explanation fidelity influence user trust
Machine learning systems have become popular in fields such as marketing...
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06/07/2018
