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Increasing interpretability in XAI: Addressing the design principles for interactive XUIs to increase interpretability in XAI for end-users
Enhancing Aviation Maintenance with Explainable AI: A Bayesian Approach to Counterfactual Explanations for Remaining Useful Life Estimation
Learning Interpretable Reduced-order Models for Jumping Quadrupeds
Deep learning methods for cardiomyocyte motion analysis
Characterization and Mitigation of High-Confidence Errors Through the Use of Human-In-The-Loop Methods: Domain Expert Driven Approach to Model Development
Determine and explain confidence in predicting violations on inland ships in the Netherlands
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