13 citations · 18 across the 3 of their papers we have counts for
5 papers
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…
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…
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…
Random Projections on Manifolds of Symmetric Positive Definite Matrices for Image Classification
Azadeh Alavi, Arnold Wiliem, Kun Zhao +2
Recent advances suggest that encoding images through Symmetric Positive Definite (SPD) matrices and then interpreting such matrices as points on Riemannian manifolds can lead to in…
Multi-Shot Person Re-Identification via Relational Stein Divergence
Azadeh Alavi, Yan Yang, Mehrtash Harandi +1
Person re-identification is particularly challenging due to significant appearance changes across separate camera views. In order to re-identify people, a representative human sign…