Damien Dablain

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 8

Top Topics

Imbalanced Data

Top Venues

IEEE Trans. Neural Networks Learn. Syst.

Publications

Damien Dablain, Colin Bellinger, Bartosz Krawczyk, David W. Aha, Nitesh V. Chawla
Understanding imbalanced data: XAI & interpretable ML framework. Mach. Learn. 113 (6) (2024)
Damien Dablain, Kristen N. Jacobson, Colin Bellinger, Mark Roberts, Nitesh V. Chawla
Understanding CNN fragility when learning with imbalanced data. Mach. Learn. 113 (7) (2024)
Damien Dablain, Bartosz Krawczyk, Nitesh V. Chawla
DeepSMOTE: Fusing Deep Learning and SMOTE for Imbalanced Data. IEEE Trans. Neural Networks Learn. Syst. 34 (9) (2023)
Damien Dablain, Colin Bellinger, Bartosz Krawczyk, Nitesh V. Chawla
Efficient Augmentation for Imbalanced Deep Learning. CoRR (2022)
Damien Dablain, Bartosz Krawczyk, Nitesh V. Chawla
Towards A Holistic View of Bias in Machine Learning: Bridging Algorithmic Fairness and Imbalanced Learning. CoRR (2022)
Damien Dablain, Lilian Huang, Brandon Sepulvado
Developing an NLP-based Recommender System for the Ethical, Legal, and Social Implications of Synthetic Biology. CoRR (2022)
Damien Dablain, Kristen N. Jacobson, Colin Bellinger, Mark Roberts, Nitesh V. Chawla
Understanding CNN Fragility When Learning With Imbalanced Data. CoRR (2022)
Damien Dablain, Bartosz Krawczyk, Nitesh V. Chawla
DeepSMOTE: Fusing Deep Learning and SMOTE for Imbalanced Data. CoRR (2021)