Time Series Classification based on Supervised Contrastive Learning and Homoscedastic Uncertainty

Published in IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2024

Published in IEEE Transactions on Neural Networks and Learning Systems (TNNLS).

Addressing the pain points of time series data classification, this research introduces supervised contrastive learning and homoscedastic uncertainty modeling, significantly enhancing the robustness of classification models.