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Portrait of Thomas Mortier

Alumni

Thomas Mortier

PhD 2023 · Efficient algorithms for set-valued prediction in classification

  • Set-valued prediction
  • Uncertainty quantification
ORCID GitHub

Research in the lab

Uncertainty quantification in machine learning, with a focus on set-valued prediction in flat and hierarchical classification.

In the news

Figure from the Nature Plants publication
Publication

A framework for tracing timber following the Ukraine invasion

Our framework to verify the legality of wood was published in Nature Plants and supported a Belgian investigation into Russian wood imports.

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Thomas Mortier with his PhD jury
PhD defence

PhD degree for Thomas Mortier

Thomas Mortier defended his thesis "Efficient algorithms for set-valued prediction in classification".

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