Browsing Research Institutes and Centres by Author "d'Aquin, Mathieu"
Now showing items 1-4 of 4
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The data ethics challenges of explainable AI and their knowledge-based solutions
d'Aquin, Mathieu (IOS Press, 2020-05)Abstract. Explainable AI has recently gained momentum as an approach to overcome some of the more obvious ethical implications of the increasingly widespread application of AI (mostly machine learning). It is however not ... -
One size does not fit all: querying web polystores
Khan, Yasar; Zimmermann, Antoine; Jha, Alokkumar; Gadepally, Vijay; d'Aquin, Mathieu; Sahay, Ratnesh (IEEE, 2019-01-17)Data retrieval systems are facing a paradigm shift due to the proliferation of specialized data storage engines (SQL, NoSQL, Column Stores, MapReduce, Data Stream, and Graph) supported by varied data models (CSV, JSON, ... -
Towards sharing task environments to support reproducible evaluations of interactive recommender systems
Barraza-Urbina, Andrea; d'Aquin, Mathieu (NUI Galway, 2019-09-20)Beyond sharing datasets or simulations, we believe the Recommender Systems (RS) community should share Task Environments. In this work, we propose a high-level logical architecture that will help to reason about the core ... -
Uncovering semantic bias in neural network models using a knowledge graph
Nikolov, Andriy; d'Aquin, Mathieu (ACM, 2020-10-19)While neural networks models have shown impressive performance in many NLP tasks, lack of interpretability is often seen as a disadvantage. Individual relevance scores assigned by post-hoc explanation methods are not ...