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Ronald Tetzlaff

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Preprint Aug 2026

Identifying Confusion Trends in Concept-based XAI for Multi-Label Classification

This work explores CXAI use cases in multi-label classification by training two DNNs, VGG16 and ResNet50, on the 20 most annotated labels in the MS-COCO dataset and demonstrates the potential of CXAI to enhance the understanding of model generalizability and to diagnose bias instigated by the dataset.

Haadia Amjad, Ronald Tetzlaff · 0 citations

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