Time-Series Mining (TSM) is an important research area since it shows great potential in
practical applications. Deep learning models that rely on massive labeled data have been …

Although pre-trained transformers and reprogrammed text-based LLMs have shown strong
performance on time series tasks, the best-performing architectures vary widely across …

Current deep learning models for time series often face challenges with generalizability in
scenarios characterized by limited samples or inadequately labeled data. By tapping into the …

Neonatal seizures are a prevalent clinical manifestation of neurological disorders and can
potentially impact the neurodevelopment of the infant's brain. Accurate and timely detection …

Time series data are widely used in critical sectors such as finance, healthcare, and
environment to analyze temporal trends and patterns for prediction, monitoring, and decision …

Time series data are widely used in critical sectors such as finance, healthcare, and
environment to analyze temporal trends and patterns for prediction, monitoring, and decision …