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PointExplainer : towards transparent Parkinson’s disease diagnosis
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Token-based fidelity scoring for trustworthy vision transformer interpretations in medical imaging
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A coevolutionary approach for optimizing interpretable rule ensembles
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- Journal Article
- A1
- open access
Interpreting stress detection models using SHAP and attention for MuSe-stress 2022
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Interpretable machine learning models for COPD ease of breathing estimation
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Interpretable reinforcement learning for heat pump control through asymmetric differentiable decision trees
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- Conference Paper
- P1
- open access
Evaluating visual explanations of attention maps for transformer-based medical imaging
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- Journal Article
- A1
- open access
An autoencoder and vision transformer based interpretability analysis on the performance differences in automated staging of second and third molars
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- Journal Article
- A1
- open access
IRAF-BRB : an explainable AI framework for enhanced interpretability in project risk assessment
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- Journal Article
- A1
- open access
A narrative review on the interpretability of fuzzy rule-based models from a modern interpretable machine learning perspective