Damien Dablain | DeepAI

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∙ 10/17/2022

Understanding CNN Fragility When Learning With Imbalanced Data

Convolutional neural networks (CNNs) have achieved impressive results on...

0 Damien Dablain, et al. ∙

∙ 07/13/2022

Towards A Holistic View of Bias in Machine Learning: Bridging Algorithmic Fairness and Imbalanced Learning

Machine learning (ML) is playing an increasingly important role in rende...

0 Damien Dablain, et al. ∙

∙ 07/13/2022

Efficient Augmentation for Imbalanced Deep Learning

Deep learning models memorize training data, which hurts their ability t...

0 Damien Dablain, et al. ∙

∙ 07/10/2022

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

Synthetic biology is an emerging field that involves the engineering and...

0 Damien Dablain, et al. ∙

∙ 05/05/2021

DeepSMOTE: Fusing Deep Learning and SMOTE for Imbalanced Data

Despite over two decades of progress, imbalanced data is still considere...

99 Damien Dablain, et al. ∙

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