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Information Fusion for Assistance Systems in Production Assessment
We propose a novel methodology to define assistance systems that rely on information fusion to combine different sources of information while providing an assessment.
Anomaly Detection using Ensemble Classification and Evidence Theory
We present an architecture for multi-class ensemble classification and an approach to quantify the uncertainty of the individual classifiers and the ensemble classifier.
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