DeepSMOTE: Fusing Deep Learning and SMOTE for Imbalanced Data von Dablain, Damien, Krawczyk, Bartosz, Chawla, Nitesh V.

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Understanding CNN fragility when learning with imbalanced data von Dablain, Damien, Jacobson, Kristen N., Bellinger, Colin, Roberts, Mark, Chawla, Nitesh V.

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Understanding imbalanced data: XAI & interpretable ML framework von Dablain, Damien, Bellinger, Colin, Krawczyk, Bartosz, Aha, David W., Chawla, Nitesh

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Towards a holistic view of bias in machine learning: bridging algorithmic fairness and imbalanced learning von Dablain, Damien, Krawczyk, Bartosz, Chawla, Nitesh

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The Hidden Influence of Latent Feature Magnitude When Learning with Imbalanced Data von Dablain, Damien A, Chawla, Nitesh V

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Towards Understanding How Data Augmentation Works with Imbalanced Data von Dablain, Damien A, Chawla, Nitesh V

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Towards A Holistic View of Bias in Machine Learning: Bridging Algorithmic Fairness and Imbalanced Learning von Dablain, Damien, Krawczyk, Bartosz, Chawla, Nitesh

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Developing an NLP-based Recommender System for the Ethical, Legal, and Social Implications of Synthetic Biology von Dablain, Damien, Huang, Lilian, Sepulvado, Brandon

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DeepSMOTE: Fusing Deep Learning and SMOTE for Imbalanced Data von Dablain, Damien, Krawczyk, Bartosz, Chawla, Nitesh V

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Efficient Augmentation for Imbalanced Deep Learning von Dablain, Damien, Bellinger, Colin, Krawczyk, Bartosz, Chawla, Nitesh

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The Hidden Influence of Latent Feature Magnitude When Learning with Imbalanced Data von Dablain, Damien A, Chawla, Nitesh V

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Interpretable ML for Imbalanced Data von Dablain, Damien A, Bellinger, Colin, Krawczyk, Bartosz, Aha, David W, Chawla, Nitesh V

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Understanding CNN Fragility When Learning With Imbalanced Data von Dablain, Damien, Jacobson, Kristen N, Bellinger, Colin, Roberts, Mark, Chawla, Nitesh

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Towards Understanding How Data Augmentation Works with Imbalanced Data von Dablain, Damien A, Chawla, Nitesh V

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DeepSMOTE: Fusing Deep Learning and SMOTE for Imbalanced Data von Dablain, Damien, Krawczyk, Bartosz, Chawla, Nitesh V

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Efficient Augmentation for Imbalanced Deep Learning von Dablain, Damien, Bellinger, Colin, Krawczyk, Bartosz, Chawla, Nitesh

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Interpretable ML for Imbalanced Data von Dablain, Damien A, Bellinger, Colin, Krawczyk, Bartosz, Aha, David W, Chawla, Nitesh V

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Understanding CNN Fragility When Learning With Imbalanced Data von Dablain, Damien, Jacobson, Kristen N, Bellinger, Colin, Roberts, Mark, Chawla, Nitesh

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Central Banks Under Fire von Dablain, Damien

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OPEC: Facing the Future von Dablain, Damien

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