How to measure explainability and interpretability of machine learning results

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@InProceedings{Winkler:2024:GPTP,

• author = "Stephan Winkler",
• title = "How to measure explainability and interpretability of machine learning results",
• booktitle = "Genetic Programming Theory and Practice XXI",
• year = "2024",
• editor = "Wolfgang Banzhaf and Ting Hu and Alexander Lalejini and Stephan Winkler",
• series = "Genetic and Evolutionary Computation",
• address = "University of Michigan, USA",
• month = jun # " 6-8",
• keywords = "genetic algorithms, genetic programming, XAI",
• notes = "to be published after the workshop",

}

Genetic Programming entries for Stephan M Winkler

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