AUTOMATED DETECTION OF MAJOR DEPRESSIVE DISORDER WITH EEG SIGNALS: A TIME SERIES CLASSIFICATION USING DEEP LEARNING

Automated Detection of Major Depressive Disorder With EEG Signals: A Time Series Classification Using Deep Learning

Major depressive disorder (MDD) has been considered a severe and common ailment with effects on functional frailty, while its clear manifestations are shrouded in mystery.Hence, manual detection of MDD is a challenging and subjective task.Although Electroencephalogram (EEG) signals have shown promise in Shorts aiding diagnosis, further enhancement

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GBMix: Enhancing Fairness by Group-Balanced Mixup

Mixup is a powerful data augmentation strategy that has been shown to improve the generalization and adversarial robustness of machine learning classifiers, particularly in computer vision applications.Despite its simplicity and effectiveness, the impact of Mixup on the fairness of a model has not been thoroughly investigated yet.In this paper, we

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