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When Accuracy Lies: Detecting Data-Induced Bias in Visual Inspection withAggregated XAI

https://doi.org/10.2139/ssrn.6910416
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Grad-CAM: Visual Explanations from Deep Networks via Gradient-Based Localization
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Human factors and ergonomics in manufacturing in the industry 4.0 context – A scoping review
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Global sensitivity indices for nonlinear mathematical models and their Monte Carlo estimates
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AI for radiographic COVID-19 detection selects shortcuts over signal
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A Review of Data-Centric Artificial Intelligence (DCAI) and its Impact on manufacturing Industry: Challenges, Limitations, and Future Directions
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Deep Residual Learning for Image Recognition
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Benchmarking Instance-Centric Counterfactual Algorithms for XAI: From White Box to Black Box
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Accuracy, precision, recall, f1-score, or MCC? empirical evidence from advanced statistics, ML, and XAI for evaluating business predictive models
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On a Test of Whether one of Two Random Variables is Stochastically Larger than the Other
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