Damien Dablain

Orcid: 0000-0003-0878-8560

According to our database1, Damien Dablain authored at least 7 papers between 2022 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2023
DeepSMOTE: Fusing Deep Learning and SMOTE for Imbalanced Data.
IEEE Trans. Neural Networks Learn. Syst., September, 2023

Towards Understanding How Data Augmentation Works with Imbalanced Data.
CoRR, 2023

Efficient Augmentation for Imbalanced Deep Learning.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

2022
Interpretable ML for Imbalanced Data.
CoRR, 2022

Understanding CNN Fragility When Learning With Imbalanced Data.
CoRR, 2022

Developing an NLP-based Recommender System for the Ethical, Legal, and Social Implications of Synthetic Biology.
CoRR, 2022

Towards A Holistic View of Bias in Machine Learning: Bridging Algorithmic Fairness and Imbalanced Learning.
CoRR, 2022


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