3 papers
cs.LG2025
Symbol-Temporal Consistency Self-supervised Learning for Robust Time Series Classification
Kevin Garcia, Cassandra Garza, Brooklyn Berry +1
The surge in the significance of time series in digital health domains necessitates advanced methodologies for extracting meaningful patterns and representations. Self-supervised c…
cs.LG2025
Adaptive von Mises-Fisher Likelihood Loss for Supervised Deep Time Series Hashing
Juan Manuel Perez, Kevin Garcia, Brooklyn Berry +2
Indexing time series by creating compact binary representations is a fundamental task in time series data mining. Recently, deep learning-based hashing methods have proven effectiv…
cs.LG2025
Efficient Hierarchical Contrastive Self-supervising Learning for Time Series Classification via Importance-aware Resolution Selection
Kevin Garcia, Juan Manuel Perez, Yifeng Gao
Recently, there has been a significant advancement in designing Self-Supervised Learning (SSL) frameworks for time series data to reduce the dependency on data labels. Among these…