2 citations · 2 across the 2 of their papers we have counts for
2 papers
cs.LG2023
Empirical Study of Mix-based Data Augmentation Methods in Physiological Time Series Data
Peikun Guo, Huiyuan Yang, Akane Sano
Data augmentation is a common practice to help generalization in the procedure of deep model training. In the context of physiological time series classification, previous research…
eess.SP2023★ 2 cited
PiRL: Participant-Invariant Representation Learning for Healthcare Using Maximum Mean Discrepancy and Triplet Loss
Zhaoyang Cao, Han Yu, Huiyuan Yang +1
Due to individual heterogeneity, person-specific models are usually achieving better performance than generic (one-size-fits-all) models in data-driven health applications. However…