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Found 2 papers, 1 papers with code
The Block Point Process Model for Continuous-Time Event-Based Dynamic Networks
The BPPM is inspired by the well-known stochastic block model (SBM) for static networks.
Unsupervised Motion Artifact Detection in Wrist-Measured Electrodermal Activity Data
In this paper, we demonstrate that unsupervised learning algorithms perform competitively with supervised algorithms for detecting MAs on EDA data collected in both a lab-based setting and a real-world setting comprising about 23 hours of data.
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