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Explainable Artificial Intelligence for Industrial Anomaly Diagnosis in Multi-Sensor Data

Labaien Soto, Jokin (Mondragon Unibertsitatea. Goi Eskola Politeknikoa, 2023)

This thesis explores the potential of Explainable Artificial Intelligence (XAI) in the context of time-series anomaly detection and diagnosis. By enhancing the transparency of traditionally opaque models and offering ...
Model query transformation framework- MQT: from EMF-based model query languages to persistence-spefic query languages

De Carlos, Xabier (Mondragon Unibertsitatea. Goi Eskola Politeknikoa, 2016)

Memory problems of XML Metadata Interchange (XMI) (default persistence in Eclipse Modelling Framework (EMF)) when operating large models, have motivated the appearance of alternative mechanisms for persistence of EMF models. ...