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Statistical process monitoring of artificial neural networks
The rapid advancement of models based on artificial intelligence demands innovative monitoring techniques which can operate in real time with low computational costs.
Statistical learning for change point and anomaly detection in graphs
Complex systems which can be represented in the form of static and dynamic graphs arise in different fields, e. g. communication, engineering and industry.
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