2 citations · 2 across the 5 of their papers we have counts for
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cs.AI2024
Foundations for Unfairness in Anomaly Detection -- Case Studies in Facial Imaging Data
Michael Livanos, Ian Davidson
Deep anomaly detection (AD) is perhaps the most controversial of data analytic tasks as it identifies entities that are then specifically targeted for further investigation or excl…
cs.AI2024
Identification and Uses of Deep Learning Backbones via Pattern Mining
Michael Livanos, Ian Davidson
Deep learning is extensively used in many areas of data mining as a black-box method with impressive results. However, understanding the core mechanism of how deep learning makes p…
cs.AI2022★ 2 cited
Explainable Clustering via Exemplars: Complexity and Efficient Approximation Algorithms
Ian Davidson, Michael Livanos, Antoine Gourru +3
Explainable AI (XAI) is an important developing area but remains relatively understudied for clustering. We propose an explainable-by-design clustering approach that not only finds…