most citedEvaluation Metrics for Symbolic Knowledge Extracted from Machine Learning Black Boxes: A Discussion Paper

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Evaluation Metrics for Symbolic Knowledge Extracted from Machine Learning Black Boxes: A Discussion Paper

Federico Sabbatini, Roberta Calegari

As opaque decision systems are being increasingly adopted in almost any application field, issues about their lack of transparency and human readability are a concrete concern for…

cs.AI2022

Clustering-Based Approaches for Symbolic Knowledge Extraction

Federico Sabbatini, Roberta Calegari

Opaque models belonging to the machine learning world are ever more exploited in the most different application areas. These models, acting as black boxes (BB) from the human persp…