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stat.ME2024★ 1 cited
A Robust Topological Framework for Detecting Regime Changes in Multi-Trial Experiments with Application to Predictive Maintenance
Anass B. El-Yaagoubi, Jean-Marc Freyermuth, Hernando Ombao
We present a general and flexible framework for detecting regime changes in complex, non-stationary data across multi-trial experiments. Traditional change point detection methods…
stat.AP2024
Dirichlet process mixture model based on topologically augmented signal representation for clustering infant vocalizations
Guillem Bonafos, Clara Bourot, Pierre Pudlo +4
Based on audio recordings made once a month during the first 12 months of a child's life, we propose a new method for clustering this set of vocalizations. We use a topologically a…