It significantly reduces the cost of data annotation. However, existing weakly-supervised learning algorithms struggle to effectively learn from N-tuple similarities and unlabeled data points. This ...

Bill sets fines of up to $38 million or 7% of turnover on companies Aligned with EU's AI Act, it targets transparency and bans harmful practices New AI supervisory agency AESIA to enforce most ...

Therefore, this work presents a novel semi-supervised fault diagnosis (FD) method to address imbalances in FD data by leveraging extensive unlabeled samples. Inspired by adversarial discriminative ...