Géraldin Nanfack
3 papers in the PaperMetrix corpus
Papers by this author
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Constraint Enforcement on Decision Trees: A Survey
2022 · ACM Computing Surveys
Decision trees have the particularity of being machine learning models that are visually easy to interpret and understand. Therefore, they are primarily suited for sensitive domains like medical diagnosis, where decisions need to be explainable. …
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Learning Customised Decision Trees for Domain-knowledge Constraints
2023 · Pattern Recognition
When applied to critical domains, machine learning models usually need to comply with prior knowledge and domain-specific requirements. For example, one may require that a learned decision tree model should be of limited size and …
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An Experimental Investigation into the Evaluation of Explainability Methods
2023 · arXiv (Cornell University)
EXplainable Artificial Intelligence (XAI) aims to help users to grasp the reasoning behind the predictions of an Artificial Intelligence (AI) system. Many XAI approaches have emerged in recent years. Consequently, a subfield related to the …