Multi-Agent based Dynamic Anchors for Interpretation of Deep Learning Classifiers

Abstract excerpt

<title>Abstract</title> <p> Explainable Artificial Intelligence (XAI) provides insights into how black-box models make decisions. Among existing approaches, anchors provide high-precision, human-interpretable rules in the form of simple <bold>if-then</bold> conditions over input features. Classical anchors compute discrete instance-wise rules using a bandit-guided beam search without learning across instances...

Topics

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• Artificial Intelligence
• Decision Support Systems, Clinical
• Diagnosis, Differential
• Electronic Health Records
• Genetic Variation
• Genetics, Medical
• Phenotype
• Rare Diseases

Identifiers and source

Literature Corpus work

1b7cc75e-a30d-50c9-aef1-8530dd7852db

DOI

10.21203/rs.3.rs-9390427/v1