2 papers
cs.AI2024
The Distributional Uncertainty of the SHAP score in Explainable Machine Learning
Santiago Cifuentes, Leopoldo Bertossi, Nina Pardal +3
Attribution scores reflect how important the feature values in an input entity are for the output of a machine learning model. One of the most popular attribution scores is the SHA…
cs.LG2024
A Neuro-Symbolic Framework for Answering Graph Pattern Queries in Knowledge Graphs
Tamara Cucumides, Daniel Daza, Pablo Barceló +4
The challenge of answering graph queries over incomplete knowledge graphs is gaining significant attention in the machine learning community. Neuro-symbolic models have emerged as…