Electroencephalography (EEG) data entail a complex spatiotemporal structure that reflects
ongoing organization of brain activity. Characterization of the spatial patterns is an …

In signal processing, exploring complex systems through network representations has
become an area of growing interest. This study introduces the modularity graph, a new …

Multivariate signals measured simultaneously over time by sensor networks are becoming
increasingly common. The emerging field of graph signal processing (GSP) promises to …

This paper proposes a multilayer graph model for the community detection from multiple
observations. This is a very frequent situation, when different estimators are applied to infer …

Affective computing research has boosted the interest in identifying mental states through
physiological signals obtained from wearable devices. Increasingly sophisticated and …

Machine Learning Applications in Medicine and Biology Ammar Ahmed Joseph Picone Editors
Machine Learning Applications in Medicine and Biology Page 2 Machine Learning …