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StAtistical Models for the UnsupeRvised segmentAion of tIme-Series
Functional Latent datA Models for clusterING heterogeneOus curveS
Mixtures-of-ExperTs modEling for cOmplex and non-noRmal dIsTributionS
User-friendly and flexible algorithm for time-series segmentation by a Regression model with a Hidden Logistic Process (RHLP).
Flexible Mixture modelling for simultaneous clustering and segmentation of heterogeneous functional data
Robust Mixtures-of-Experts modelling using the t distribution for clustering and non-linear regression for heteregenous data
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