{"labels":{"en":"End-to-end explainability of machine learning pipelines with decision predicate graphs: a financial scenario case study"},"descriptions":{"en":"scientific paper published in CEUR-WS Volume 4121"},"claims":{"P31":"Q13442814","P1433":"Q139488164","P1476":{"text":"End-to-end explainability of machine learning pipelines with decision predicate graphs: a financial scenario case study","language":"en"},"P407":"Q1860","P953":"https://ceur-ws.org/Vol-4121/Ital-IA_2025_paper_32.pdf","P50":[],"P2093":[{"value":"Leonardo Arrighi","qualifiers":{"P1545":"1"}},{"value":"Matheus Camilo Da Silva","qualifiers":{"P1545":"2"}},{"value":"Sylvio Barbon Junior","qualifiers":{"P1545":"3"}}]}}