Xudong Jiang

Class-incremental Learning for Time Series: Benchmark and Evaluation

2024 · arXiv (Cornell University)

Real-world environments are inherently non-stationary, frequently introducing new classes over time. This is especially common in time series classification, such as the emergence of new disease classification in healthcare or the addition of new activities …