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IEEE TAI · 2026 · Journal article · Lead author with a top-venue record

Empirical Study of Padding Methods and Resource Efficiency in Replay-Based Class-Incremental Continual Learning for Variable-Length Time Series

Victor Philippe, Thirimachos Bourlai, William Wells, Mohammad Taha

Savannah River National Laboratory

Publisher page ↗
Published in
IEEE Transactions on Artificial Intelligence
Date
2026-01-01
Citations
0
Cite
@article{philippe2026empirical,
  title = {Empirical Study of Padding Methods and Resource Efficiency in Replay-Based Class-Incremental Continual Learning for Variable-Length Time Series},
  author = {Victor Philippe and Thirimachos Bourlai and William Wells and Mohammad Taha},
  year = {2026},
  journal = {IEEE Transactions on Artificial Intelligence},
  doi = {10.1109/tai.2026.3718838},
  url = {https://doi.org/10.1109/tai.2026.3718838},
}