RENTON Guillaume
MCF, ENSEA
Member of team :
DATA&AI
Lieu :
ENSEA
Mail 1 :
guillaume.renton@ensea.fr
Phone :
Biography
Guillaume Renton obtained his PhD from the University of Rouen in 2021. Since 2022, he is an assistant professor in the Multimedia Indexing and Data Integration (MIDI) team of ETIS at ENSEA. His domain of interest is on Machine Learning applied on structured data represented as graphs. A particular interest is given to the analysis and application of deep learning methods dedicated to graphs, called Graph Neural Networks.
Research activities
- Machine Learning
- Graphs, Graph Neural Networks
- Deep Learning
Ongoing projects
Publications dans Hal
- Quand la métaphore devient formule : analyse discursive de « submersion migratoire » dans la presse française
- A Chase-based Approach to Consistent Answers of Analytic Queries in Star Schemas
- Arbor-TVB: a novel multi-scale co-simulation framework with a case study on neural-level seizure generation and whole-brain propagation
- Group-Robot Interaction in the Wild: An Exploratory Field Study in Semi-public Spaces