1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.LG2024★ 1 cited
Rank Supervised Contrastive Learning for Time Series Classification
Qianying Ren, Dongsheng Luo, Dongjin Song
Recently, various contrastive learning techniques have been developed to categorize time series data and exhibit promising performance. A general paradigm is to utilize appropriate…
cs.LG2022
Ordinal-Quadruplet: Retrieval of Missing Classes in Ordinal Time Series
Jurijs Nazarovs, Cristian Lumezanu, Qianying Ren +4
In this paper, we propose an ordered time series classification framework that is robust against missing classes in the training data, i.e., during testing we can prescribe classes…