EntroTS: Entropy-guided representation learning for time series classification

Guancen Lin, Cong Shen, Lin Wan

Open source

DOI: 10.1016/j.chaos.2026.119042
Published: 2026-11
Container: Chaos, Solitons & Fractals
Publisher: Elsevier BV
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1016/j.chaos.2026.119042,
  title = {EntroTS: Entropy-guided representation learning for time series classification},
  author = {Guancen Lin and Cong Shen and Lin Wan},
  year = {2026},
  journal = {Chaos, Solitons \&amp; Fractals},
  doi = {10.1016/j.chaos.2026.119042},
  url = {https://doi.org/10.1016/j.chaos.2026.119042}
}

RIS

TY  - JOUR
TI  - EntroTS: Entropy-guided representation learning for time series classification
AU  - Guancen Lin
AU  - Cong Shen
AU  - Lin Wan
PY  - 2026
JO  - Chaos, Solitons &amp; Fractals
DO  - 10.1016/j.chaos.2026.119042
UR  - https://doi.org/10.1016/j.chaos.2026.119042
ER  -

APA

Lin, G., Shen, C., & Wan, L. (2026). EntroTS: Entropy-guided representation learning for time series classification. Chaos, Solitons & Fractals. https://doi.org/10.1016/j.chaos.2026.119042

Source records

crossref · retrieved 2026-09-26T04:45:36.935Z