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Found 6 papers, 0 papers with code
Computational Complexity of Preferred Subset Repairs on Data-Graphs
The problem of repairing inconsistent knowledge bases has a long history within the communities of database theory and knowledge representation and reasoning, especially from the perspective of structured data.
The Distributional Uncertainty of the SHAP score in Explainable Machine Learning
In this paper, we propose a principled framework for reasoning on SHAP scores under unknown entity population distributions.
Parsimonious Argument Annotations for Hate Speech Counter-narratives
We present an enrichment of the Hateval corpus of hate speech tweets (Basile et.
Scalable Query Answering under Uncertainty to Neuroscientific Ontological Knowledge: The NeuroLang Approach
Researchers in neuroscience have a growing number of datasets available to study the brain, which is made possible by recent technological advances.
On the Importance of Domain-specific Explanations in AI-based Cybersecurity Systems (Technical Report)
With the availability of large datasets and ever-increasing computing power, there has been a growing use of data-driven artificial intelligence systems, which have shown their potential for successful application in diverse areas.
Explainable artificial intelligence
Explainable Artificial Intelligence (XAI)
Top-k Query Answering in Datalog+/- Ontologies under Subjective Reports (Technical Report)
Theses pieces of information of every report are then combined, along with the querying user's preferences and his/her trust into each report, to rank the query results.
