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Ensemble of One-Dimensional Classifiers for Hyperspectral Image Analysis.

, , and . DMBD, volume 9714 of Lecture Notes in Computer Science, page 513-520. Springer, (2016)

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Undersampled Majority Class Ensemble for highly imbalanced binary classification.. LIDTA@ECML/PKDD, volume 94 of Proceedings of Machine Learning Research, page 82-94. PMLR, (2018)Ensemble of One-Dimensional Classifiers for Hyperspectral Image Analysis., , and . DMBD, volume 9714 of Lecture Notes in Computer Science, page 513-520. Springer, (2016)Ensembles of Heterogeneous Concept Drift Detectors - Experimental Study., , , and . CISIM, volume 9842 of Lecture Notes in Computer Science, page 538-549. Springer, (2016)Combining Random Subspace Approach with smote Oversampling for Imbalanced Data Classification.. HAIS, volume 11734 of Lecture Notes in Computer Science, page 660-673. Springer, (2019)Combined Classifier Based on Quantized Subspace Class Distribution.. IDEAL (1), volume 11314 of Lecture Notes in Computer Science, page 761-772. Springer, (2018)Classifier Selection for Highly Imbalanced Data Streams with Minority Driven Ensemble., , and . ICAISC (1), volume 11508 of Lecture Notes in Computer Science, page 626-635. Springer, (2019)Machine Learning Methods for Fake News Classification., , , and . IDEAL (2), volume 11872 of Lecture Notes in Computer Science, page 332-339. Springer, (2019)Imbalanced Data Classification Based on Feature Selection Techniques., and . IDEAL (2), volume 11315 of Lecture Notes in Computer Science, page 296-303. Springer, (2018)A Genetic-Based Ensemble Learning Applied to Imbalanced Data Classification., , and . IDEAL (2), volume 11872 of Lecture Notes in Computer Science, page 340-352. Springer, (2019)Dealing with the task of imbalanced, multidimensional data classification using ensembles of exposers., and . LIDTA@PKDD/ECML, volume 74 of Proceedings of Machine Learning Research, page 164-175. PMLR, (2017)