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Found 5 papers, 2 papers with code
The METRIC-framework for assessing data quality for trustworthy AI in medicine: a systematic review
Since data quality dictates the behaviour of ML products, evaluating data quality will play a key part in the regulatory approval of medical AI products.
A Study of the Quality of Wikidata
Wikidata has been increasingly adopted by many communities for a wide variety of applications, which demand high-quality knowledge to deliver successful results.
A Cluster-Matching-Based Method for Video Face Recognition
We propose a cluster-matching-based approach for face recognition in video.
Commonsense Knowledge in Wikidata
Our experiments reveal that: 1) albeit Wikidata-CS represents a small portion of Wikidata, it is an indicator that Wikidata contains relevant commonsense knowledge, which can be mapped to 15 ConceptNet relations; 2) the overlap between Wikidata-CS and other commonsense sources is low, motivating the value of knowledge integration; 3) Wikidata-CS has been evolving over time at a slightly slower rate compared to the overall Wikidata, indicating a possible lack of focus on commonsense knowledge.
KGTK: A Toolkit for Large Knowledge Graph Manipulation and Analysis
Knowledge graphs (KGs) have become the preferred technology for representing, sharing and adding knowledge to modern AI applications.
