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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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Improving Optimum-Path Forest Classification Using Confidence Measures., , , and . CIARP, volume 9423 of Lecture Notes in Computer Science, page 619-625. Springer, (2015)Learning Kernels for Support Vector Machines with Polynomial Powers of Sigmoid., , , , and . SIBGRAPI, page 259-265. IEEE Computer Society, (2014)A Multi-Class Probabilistic Optimum-Path Forest., , , , , and . VISIGRAPP (5: VISAPP), page 361-368. SCITEPRESS, (2023)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)Blur Parameter Identification Through Optimum-Path Forest., , and . CAIP (2), volume 10425 of Lecture Notes in Computer Science, page 230-240. Springer, (2017)Pruning optimum-path forest ensembles using quaternion-based optimization., and . IJCNN, page 984-991. IEEE, (2017)Improving optimum-path forest learning using bag-of-classifiers and confidence measures., and . Pattern Anal. Appl., 22 (2): 703-716 (2019)Optimum-Path Forest based on k-connectivity: Theory and applications., , and . Pattern Recognit. Lett., (2017)