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Multimodal classification of anxiety based on physiological signals

Vaz, Mariana; Summavielle, Teresa; Sebastião, Raquel; Ribeiro, Rita P.

Multiple studies show an association between anxiety disorders and dysregulation in the Autonomic Nervous System (ANS). Thus, understanding how informative the physiological signals are would contribute to effectively detecting anxiety. This study targets the classification of anxiety as an imbalanced binary classification problem using physiological signals collected from a sample of healthy subjects under a n...


Data-driven predictive maintenance

Gama, João; Ribeiro, Rita P.; Veloso, Bruno

With the growth of 5G networks, the Internet-of-Things is becoming a reality. The advances in networking, machine learning, data analytics, and robotics largely improve industrial processes. Industry 4.0 is a term for the fourth industrial revolution: the digitization and automation of manufacturing [1]. Predictive maintenance is one of the techniques with high impact in today’s industry.


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