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20212026
most citedA review of clustering models in educational data science towards fairness-aware learning

26 citations · 55 across the 11 of their papers we have counts for

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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…