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cs.LG2024★ 1 cited
Guidelines for Augmentation Selection in Contrastive Learning for Time Series Classification
Ziyu Liu, Azadeh Alavi, Minyi Li +1
Self-supervised contrastive learning has become a key technique in deep learning, particularly in time series analysis, due to its ability to learn meaningful representations witho…
cs.LG2024
Leveraging SPD Matrices on Riemannian Manifolds in Quantum Classical Hybrid Models for Structural Health Monitoring
Azadeh Alavi, Sanduni Jayasinghe
Realtime finite element modeling of bridges assists modern structural health monitoring systems by providing comprehensive insights into structural integrity. This capability is es…
cs.LG2024★ 3 cited
Self-Supervised Learning for Time Series: Contrastive or Generative?
Ziyu Liu, Azadeh Alavi, Minyi Li +1
Self-supervised learning (SSL) has recently emerged as a powerful approach to learning representations from large-scale unlabeled data, showing promising results in time series ana…