Luis Galárraga — accepted AI-conference papers

2024

PyClause - Simple and Efficient Rule Handling for Knowledge Graphs

Patrick Betz, Luis Galárraga, Simon Ott, Christian Meilicke, Fabian Suchanek, Heiner Stuckenschmidt

IJCAI 2024poster

Rule mining finds patterns in structured data such as knowledge graphs. Rules can predict facts, help correct errors, and yield explainable insights about the data. However, existing rule mining implementations focus exclusively on mining rules -- and not on their application. The PyClause library o…

Cited by 2 Source ↗PDF ↗code ↗Scholar ↗

2024

Shaping Up SHAP: Enhancing Stability through Layer-Wise Neighbor Selection

Gwladys Kelodjou, Laurence Rozé, Véronique Masson, Luis Galárraga, Romaric Gaudel, Maurice Tchuente +1

AAAI 2024technical

Machine learning techniques, such as deep learning and ensemble methods, are widely used in various domains due to their ability to handle complex real-world tasks. However, their black-box nature has raised multiple concerns about the fairness, trustworthiness, and transparency of computer-assisted…

Cited by 6 Source ↗PDF ↗code ↗Scholar ↗