4 citations · 7 across the 2 of their papers we have counts for
2 papers
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…
cs.SI2017★ 3 cited
Cobwebs from the Past and Present: Extracting Large Social Networks using Internet Archive Data
Miroslav Shaltev, Jan-Hendrik Zab, Philipp Kemkes +2
Social graph construction from various sources has been of interest to researchers due to its application potential and the broad range of technical challenges involved. The World…