#machine learning
May 2025
A Network Science Approach to Granular Time Series Segmentation
This work formulate dense univariate segmentation as node classification on a graph whose nodes are the original time points as node classification on a graph whose nodes are the original time points, and evaluates the approach on a TSSB-derived inductive benchmark built from disjoint UCR training and test instances.
Ivana Kesić, Carolina Fortuna, M. Mohorčič et al.
· arXiv.org · 0 citations