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Found 2 papers, 2 papers with code
Are Large Language Models Post Hoc Explainers?
To this end, several approaches have been proposed in recent literature to explain the behavior of complex predictive models in a post hoc fashion.
Explainable artificial intelligence
Explainable Artificial Intelligence (XAI)
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Multi-Target Multiple Instance Learning for Hyperspectral Target Detection
They learn a dictionary of target signatures that optimizes detection against a background using the Adaptive Cosine Estimator (ACE) and Spectral Match Filter (SMF).
