Talks

Shape and operator embeddings of sequential data for machine learning

MALT seminar, Inria Rennes

Spectral-Grassmann Wasserstein metric for operator representations of dynamical systems

MIND seminar, Inria Saclay

Invariances and shape embedding for time series machine learning

EDF R&D

Detection and statistical analysis of temporal pattern

R&D Cognition Day
Link

Interactive discovery of temporal motifs, a web application

ECML PKDD 2024
Link

Shape analysis & machine learning for time series

Duke University
Slides Link

Persistence-based Motifs Discovery in Time Series

Centre Borelli — MLDMA seminar
Slides Link

Linear-trend normalization for multivariate subsequence similarity search

ICDE 2024
Slides Link

Interpretable classification of ventilation behaviors based on machine learning

Integrative Neuroscience and Cognition Center (INCC)
Link

Une méthode de regroupement des comportements respiratoires basée sur des distances DTW entre séries temporelles & Comment les nouveaux outils permettent de redécouvrir des données ?

Centre Borelli — Séminaire M&Ms
Link

Unsupervised study of plethysmography signals through DTW clustering

EMBC 2022
Poster Link