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A Novel Ensemble Learning-Based Approach for Click Fraud Detection in Mobile Advertising., , , , and . MIKE, volume 8284 of Lecture Notes in Computer Science, page 370-382. Springer, (2013)pgFMU: Integrating Data Management with Physical System Modelling., , , and . EDBT, page 109-120. OpenProceedings.org, (2020)Utilizing Device-level Demand Forecasting for Flexibility Markets., , and . e-Energy, page 108-118. ACM, (2018)Predictive Data Analytics for Energy Demand Flexibility. University of Dresden, Germany, (2018)base-search.net (fttudresden:oai:qucosa:de:qucosa:31034).Modeling and Managing Energy Flexibility Using FlexOffers., , and . SmartGridComm, page 1-7. IEEE, (2018)Towards Flexibility Detection in Device-Level Energy Consumption., , and . DARE, volume 8817 of Lecture Notes in Computer Science, page 1-16. Springer, (2014)Detecting click fraud in online advertising: a data mining approach., , , , , , , , , and 8 other author(s). J. Mach. Learn. Res., 15 (1): 99-140 (2014)Evaluating the Value of Flexibility in Energy Regulation Markets., , and . e-Energy, page 131-140. ACM, (2015)Uncertain flexoffers, a scalable, uncertainty-aware model for energy flexibility., , , and . e-Energy, page 448-449. ACM, (2022)Utilizing Device-level Demand Forecasting for Flexibility Markets - Full Version., , and . CoRR, (2018)