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Project
A comparative study of conformal prediction methods for valid uncertainty quantification in machine learning.
Information
Project Team
Organisations
Outputs and Outcomes
Doctoral researcher
Nicolas Dewolf
Department of Data analysis and mathematical modelling
Administrative supervisor
Bernard De Baets
Department of Data analysis and mathematical modelling
PhD Supervisor
Willem Waegeman
Department of Data analysis and mathematical modelling
