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A Probabilistic Optimum-Path Forest Classifier for Non-Technical Losses Detection.

, , , , , and . IEEE Trans. Smart Grid, 10 (3): 3226-3235 (2019)

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A path- and label-cost propagation approach to speedup the training of the optimum-path forest classifier., , , , , , , and . Pattern Recognit. Lett., (2014)Feature selection through binary brain storm optimization., , , and . Comput. Electr. Eng., (2018)An Ensemble-Based Stacked Sequential Learning Algorithm for Remote Sensing Imagery Classification., , , and . IEEE J Sel. Topics in Appl. Earth Observ. and Remote Sensing, 10 (4): 1525-1541 (2017)Fast Optimum-Path Forest Classification on Graphics Processors., , , , and . VISAPP (2), page 627-631. SciTePress, (2014)On the Study of Commercial Losses in Brazil: A Binary Black Hole Algorithm for Theft Characterization., , , and . IEEE Trans. Smart Grid, 9 (2): 676-683 (2018)A Probabilistic Optimum-Path Forest Classifier for Binary Classification Problems., , , , and . CoRR, (2016)A Probabilistic Optimum-Path Forest Classifier for Non-Technical Losses Detection., , , , , and . IEEE Trans. Smart Grid, 10 (3): 3226-3235 (2019)Improving Optimum- Path Forest Classification Using Unsupervised Manifold Learning., , , and . ICPR, page 560-565. IEEE Computer Society, (2018)Efficient Fault Location in Underground Distribution Systems through Optimum-Path Forest., , , , and . Applied Artificial Intelligence, 26 (5): 503-515 (2012)A novel algorithm for feature selection using Harmony Search and its application for non-technical losses detection., , , , and . Comput. Electr. Eng., 37 (6): 886-894 (2011)