3 papers
cs.AI2025
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.LO2024
Strong Faithfulness for ELH Ontology Embeddings
Victor Lacerda, Ana Ozaki, Ricardo Guimarães
Ontology embedding methods are powerful approaches to represent and reason over structured knowledge in various domains. One advantage of ontology embeddings over knowledge graph e…
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…