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10/17/2022
Understanding CNN Fragility When Learning With Imbalanced Data
Convolutional neural networks (CNNs) have achieved impressive results on...
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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...
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07/13/2022
Efficient Augmentation for Imbalanced Deep Learning
Deep learning models memorize training data, which hurts their ability t...
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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...
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05/05/2021
