The Challenge of Non-Technical Loss Detection Using Artificial Intelligence: A Survey von Glauner, Patrick, Meira, Jorge Augusto, Valtchev, Petko, State, Radu, Bettinger, Franck

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The Challenge of Non-Technical Loss Detection using Artificial Intelligence: A Survey von Glauner, Patrick, Meira, Jorge Augusto, Valtchev, Petko, State, Radu, Bettinger, Franck

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Is Big Data Sufficient for a Reliable Detection of Non-Technical Losses? von Glauner, Patrick, Migliosi, Angelo, Meira, Jorge, Valtchev, Petko, State, Radu, Bettinger, Franck

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Neighborhood Features Help Detecting Non-Technical Losses in Big Data Sets von Glauner, Patrick, Meira, Jorge, Dolberg, Lautaro, State, Radu, Bettinger, Franck, Rangoni, Yves, Duarte, Diogo

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Large-Scale Detection of Non-Technical Losses in Imbalanced Data Sets von Glauner, Patrick O, Boechat, Andre, Dolberg, Lautaro, State, Radu, Bettinger, Franck, Rangoni, Yves, Duarte, Diogo

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Is Big Data Sufficient for a Reliable Detection of Non-Technical Losses? von Glauner, Patrick, Migliosi, Angelo, Meira, Jorge, Valtchev, Petko, State, Radu, Bettinger, Franck

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Neighborhood Features Help Detecting Non-Technical Losses in Big Data Sets von Glauner, Patrick, Meira, Jorge, Dolberg, Lautaro, State, Radu, Bettinger, Franck, Rangoni, Yves, Duarte, Diogo

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Large-Scale Detection of Non-Technical Losses in Imbalanced Data Sets von Glauner, Patrick O, Boechat, Andre, Dolberg, Lautaro, State, Radu, Bettinger, Franck, Rangoni, Yves, Duarte, Diogo

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