Sebastien Destercke

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My research mostly concerns the representation and treatment of information under severe uncertainty, i.e., when data and information are scarce, unreliable, imprecise, etc. I am currently focusing my research on problems related to preference learning, risk/reliability analysis and signal treatment/image analysis. I also give courses (for professionals and students) concerning these topics. Specialties: Uncertainty modeling and treatment: information fusion, decision making, information representation, uncertainty propagation, model validation, supervised learning, risk analysis.

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Sebastien Destercke

Presentations

Tutorial SUM 2012: some of the things you wanted to know about uncertainty (but were too busy to ask)

Information Fusion - Reconciliation data workshop

Imprecise probability theory - Summer School 2014

On combination and conflict - Belief function school lecture

Madrid easy

Belief functions and uncertainty theories

Imprecision in learning: an overview