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.LG2024
Efficient High-Resolution Time Series Classification via Attention Kronecker Decomposition
Aosong Feng, Jialin Chen, Juan Garza +5
The high-resolution time series classification problem is essential due to the increasing availability of detailed temporal data in various domains. To tackle this challenge effect…