Search Results for author:
Found 3 papers, 1 papers with code
On Explaining Unfairness: An Overview
Algorithmic fairness and explainability are foundational elements for achieving responsible AI.
FairER: Entity Resolution with Fairness Constraints
One of the most critical tasks for improving data quality and increasing the reliability of data analytics is Entity Resolution (ER), which aims to identify different descriptions that refer to the same real-world entity.
A Hybrid Approach to Temporal Pattern Matching
The primary objective of graph pattern matching is to find all appearances of an input graph pattern query in a large data graph.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
