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Jean-Baptiste SCHIRATTI

2 accepted papers

2018

An Ensemble Learning Approach to Detect Epileptic Seizures from Long Intracranial EEG Recordings

ICASSP 2018accepted

This paper proposes a patient-specific supervised classification algorithm to detect seizures in long offline intracranial electroencephalographic (iEEG) recordings. The main idea of the proposed algorithm is to combine a set of probabilistic classifiers, trained on a dataset of 1 s epochs, into a w…

Cited by 0SourceScholar
2015

Learning spatiotemporal trajectories from manifold-valued longitudinal data

NeurIPS 2015poster

We propose a Bayesian mixed-effects model to learn typical scenarios of changes from longitudinal manifold-valued data, namely repeated measurements of the same objects or individuals at several points in time. The model allows to estimate a group-average trajectory in the space of measurements. Ran…

Cited by 108SourcePDFScholar