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Selecting target concept in one-class classification for handling class imbalance problem.

, , and . IJCNN, page 1-8. IEEE, (2015)

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Adaptive Inverse Control Using an Online Learning Algorithm for Neural Networks., , , and . Informatica, 25 (3): 401-414 (2014)A Regularized Learning Method for Neural Networks Based on Sensitivity Analysis., , , and . ESANN, page 289-294. (2008)On the Effectiveness of Distributed Learning on Different Class-Probability Distributions of Data., , and . CAEPIA, volume 7023 of Lecture Notes in Computer Science, page 114-123. Springer, (2011)An incremental non-iterative learning method for one-layer feedforward neural networks., , and . Appl. Soft Comput., (2018)An incremental learning method for neural networks in adaptive environments., , and . IJCNN, page 1-8. IEEE, (2010)A Novel Local Classification Method using Growing Neural Gas and Proximal Support Vector Machines., , and . IJCNN, page 1607-1612. IEEE, (2007)An effective and efficient green federated learning method for one-layer neural networks., , , and . SAC, page 1050-1052. ACM, (2024)Regularized One-Layer Neural Networks for Distributed and Incremental Environments., , and . IWANN (2), volume 12862 of Lecture Notes in Computer Science, page 343-355. Springer, (2021)Federated Learning approach for SpectralClustering., , , and . ESANN, (2021)Feature selection for label ranking., and . ESANN, (2018)