Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.
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Interpretability and explainability of data and machine learning models
moDel Agnostic Language for Exploration and eXplanation
Build AI text detectors whose decisions are mechanistically grounded and human-auditable (EMNLP 2026)
Contrastive Explanation (Foil Trees), developed at TNO/Utrecht University