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Identifying Irregular Power Usage by Turning Predictions into Holographic Spatial Visualizations., , , , , , and . ICDM Workshops, page 258-265. IEEE Computer Society, (2017)On the Reduction of Biases in Big Data Sets for the Detection of Irregular Power Usage., , , and . CoRR, (2018)Deep Learning For Smile Recognition.. CoRR, (2016)A Simple and Correct Even-Odd Algorithm for the Point-in-Polygon Problem for Complex Polygons., and . VISIGRAPP (1: GRAPP), page 175-178. SciTePress, (2017)The Challenge of Non-Technical Loss Detection Using Artificial Intelligence: A Survey., , , , and . Int. J. Comput. Intell. Syst., 10 (1): 760-775 (2017)A correct even-odd algorithm for the point-in-polygon (PIP) problem for complex polygons, and . CoRR, (2012)The Top 10 Topics in Machine Learning Revisited: A Quantitative Meta-Study., , , , , , , and . ESANN, (2017)Impact of Biases in Big Data., , and . ESANN, (2018)Is Big Data Sufficient for a Reliable Detection of Non-Technical Losses?, , , , , , and . CoRR, (2017)Use of Solr and Xapian in the Invenio document repository software., , , and . CoRR, (2013)