11 citations · 15 across the 4 of their papers we have counts for
5 papers
A Mixed-Domain Self-Attention Network for Multilabel Cardiac Irregularity Classification Using Reduced-Lead Electrocardiogram
Hao-Chun Yang, Wan-Ting Hsieh, Trista Pei-Chun Chen
Electrocardiogram(ECG) is commonly used to detect cardiac irregularities such as atrial fibrillation, bradycardia, and other irregular complexes. While previous studies have achiev…
Domain-Generalized Textured Surface Anomaly Detection
Shang-Fu Chen, Yu-Min Liu, Chia-Ching Lin +2
Anomaly detection aims to identify abnormal data that deviates from the normal ones, while typically requiring a sufficient amount of normal data to train the model for performing…
A Trainable Reconciliation Method for Hierarchical Time-Series
Davide Burba, Trista Chen
In numerous applications, it is required to produce forecasts for multiple time-series at different hierarchy levels. An obvious example is given by the supply chain in which deman…
TrustMAE: A Noise-Resilient Defect Classification Framework using Memory-Augmented Auto-Encoders with Trust Regions
Daniel Stanley Tan, Yi-Chun Chen, Trista Pei-Chun Chen +1
In this paper, we propose a framework called TrustMAE to address the problem of product defect classification. Instead of relying on defective images that are difficult to collect…
CARL: Controllable Agent with Reinforcement Learning for Quadruped Locomotion
Ying-Sheng Luo, Jonathan Hans Soeseno, Trista Pei-Chun Chen +1
Motion synthesis in a dynamic environment has been a long-standing problem for character animation. Methods using motion capture data tend to scale poorly in complex environments b…