Mirko Mazzoleni
Researching in system identification, data science and fault diagnosis-
Unsupervised Learning of Fundamental Emotional States via Word Embeddings
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Control-oriented modeling of SKU-level demand in retail food market
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A comparison of data-driven fault detection methods with application to aerospace electro-mechanical actuators
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Fault detection in airliner electro-mechanical actuators via hybrid particle filtering
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Development of a reliable electro-mechanical actuator for primary control surfaces in small aircrafts
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Classification algorithms analysis for brain-computer interface in drug craving therapy