SWoTTeD: an extension of tensor decomposition to temporal phenotyping

Hana Sebia (1) , Thomas Guyet (1) , Etienne Audureau (2, 3)

1 AISTROSIGHT - La pharmacologie des neurones et des astrocytes à l’aide des sciences du numérique
2 Hôpital Henri Mondor
3 Inserm U955 - Molecular virology and immunology – Physiopathology and therapeutic of chronic viral hepatitis (Team 18)

Mots clés: temporal data; health data; tensor decomposition unsupervised learning temporal data health data; tensor decomposition; unsupervised learning

Domaines: Informatique [cs]

Hana Sebia, Thomas Guyet, Etienne Audureau. SWoTTeD: an extension of tensor decomposition to temporal phenotyping. Machine Learning, 2024, ⟨10.1007/s10994-024-06545-8⟩. ⟨hal-04568075⟩