206 citations · 315 across the 22 of their papers we have counts for
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cs.AI2022
Towards Auditing Unsupervised Learning Algorithms and Human Processes For Fairness
Ian Davidson, S. S. Ravi
Existing work on fairness typically focuses on making known machine learning algorithms fairer. Fair variants of classification, clustering, outlier detection and other styles of a…
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…