4 citations · 10 across the 3 of their papers we have counts for
3 papers
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…
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…
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…