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
Who With Whom And How?: Extracting Large Social Networks Using Search Engines
Stefan Siersdorfer, Philipp Kemkes, Hanno Ackermann +1
Social network analysis is leveraged in a variety of applications such as identifying influential entities, detecting communities with special interests, and determining the flow o…