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Journal Articles
- 2024
[j3]Damien Dablain
, Colin Bellinger, Bartosz Krawczyk, David W. Aha, Nitesh V. Chawla:
Understanding imbalanced data: XAI & interpretable ML framework. Mach. Learn. 113(6): 3751-3769 (2024)- [j2]Damien Dablain, Kristen N. Jacobson, Colin Bellinger, Mark Roberts, Nitesh V. Chawla:
Understanding CNN fragility when learning with imbalanced data. Mach. Learn. 113(7): 4785-4810 (2024) - 2023
- [j1]Damien Dablain, Bartosz Krawczyk, Nitesh V. Chawla:
DeepSMOTE: Fusing Deep Learning and SMOTE for Imbalanced Data. IEEE Trans. Neural Networks Learn. Syst. 34(9): 6390-6404 (2023)
Conference and Workshop Papers
- 2023
- [c1]Damien A. Dablain, Colin Bellinger, Bartosz Krawczyk, Nitesh V. Chawla:
Efficient Augmentation for Imbalanced Deep Learning. ICDE 2023: 1433-1446
Informal and Other Publications
- 2024
- [i8]Damien A. Dablain, Nitesh V. Chawla:
The Hidden Influence of Latent Feature Magnitude When Learning with Imbalanced Data. CoRR abs/2407.10165 (2024) - 2023
- [i7]Damien A. Dablain, Nitesh V. Chawla:
Towards Understanding How Data Augmentation Works with Imbalanced Data. CoRR abs/2304.05895 (2023) - 2022
- [i6]Damien Dablain, Colin Bellinger, Bartosz Krawczyk, Nitesh V. Chawla:
Efficient Augmentation for Imbalanced Deep Learning. CoRR abs/2207.06080 (2022) - [i5]Damien Dablain, Bartosz Krawczyk, Nitesh V. Chawla:
Towards A Holistic View of Bias in Machine Learning: Bridging Algorithmic Fairness and Imbalanced Learning. CoRR abs/2207.06084 (2022) - [i4]Damien Dablain, Lilian Huang, Brandon Sepulvado:
Developing an NLP-based Recommender System for the Ethical, Legal, and Social Implications of Synthetic Biology. CoRR abs/2207.06360 (2022) - [i3]Damien Dablain, Kristen N. Jacobson, Colin Bellinger, Mark Roberts, Nitesh V. Chawla:
Understanding CNN Fragility When Learning With Imbalanced Data. CoRR abs/2210.09465 (2022) - [i2]Damien A. Dablain, Colin Bellinger, Bartosz Krawczyk, David W. Aha, Nitesh V. Chawla:
Interpretable ML for Imbalanced Data. CoRR abs/2212.07743 (2022) - 2021
- [i1]Damien Dablain, Bartosz Krawczyk, Nitesh V. Chawla:
DeepSMOTE: Fusing Deep Learning and SMOTE for Imbalanced Data. CoRR abs/2105.02340 (2021)
Coauthor Index
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