4 citations · 4 across the 1 of their papers we have counts for
3 papers
cs.LG2025
FACROC: a fairness measure for FAir Clustering through ROC curves
Tai Le Quy, Long Le Thanh, Lan Luong Thi Hong +1
Fair clustering has attracted remarkable attention from the research community. Many fairness measures for clustering have been proposed; however, they do not take into account the…
cs.LG2021
Fair-Capacitated Clustering
Tai Le Quy, Arjun Roy, Gunnar Friege +1
Traditionally, clustering algorithms focus on partitioning the data into groups of similar instances. The similarity objective, however, is not sufficient in applications where a f…
eess.SP2021★ 4 cited
Data augmentation for dealing with low sampling rates in NILM
Tai Le Quy, Sergej Zerr, Eirini Ntoutsi +1
Data have an important role in evaluating the performance of NILM algorithms. The best performance of NILM algorithms is achieved with high-quality evaluation data. However, many e…