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cs.AI2024
Extracting PAC Decision Trees from Black Box Binary Classifiers: The Gender Bias Case Study on BERT-based Language Models
Ana Ozaki, Roberto Confalonieri, Ricardo Guimarães +1
Decision trees are a popular machine learning method, known for their inherent explainability. In Explainable AI, decision trees can be used as surrogate models for complex black b…
cs.AI2024
Knowledge Base Embeddings: Semantics and Theoretical Properties
Camille Bourgaux, Ricardo Guimarães, Raoul Koudijs +2
Research on knowledge graph embeddings has recently evolved into knowledge base embeddings, where the goal is not only to map facts into vector spaces but also constrain the models…