The C-Score quantifies intra-class explanation consistency for CAM methods via confidence-weighted pairwise soft IoU and detects AUC-consistency dissociation as an early warning for model instability on chest X-ray classification.
Heatmap assisted ac- curacy score evaluation method for machine-centric explainable deep neural networks.IEEE Access, 10: 64832–64849
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A first multivocal literature review finds academia modifies IoT to meet Zero Trust rules while industry integrates IoT into existing NIST-guided Zero Trust frameworks, exposing gaps in socio-technical and cost-benefit analysis.
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Quantifying Explanation Consistency: The C-Score Metric for CAM-Based Explainability in Medical Image Classification
The C-Score quantifies intra-class explanation consistency for CAM methods via confidence-weighted pairwise soft IoU and detects AUC-consistency dissociation as an early warning for model instability on chest X-ray classification.
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Converging Zero Trust and IoT Security: A Multivocal Literature Review
A first multivocal literature review finds academia modifies IoT to meet Zero Trust rules while industry integrates IoT into existing NIST-guided Zero Trust frameworks, exposing gaps in socio-technical and cost-benefit analysis.