Explicit encoding of temporal dynamics for interpretable melody similarity modeling: insight into machine learning models

Yilin Zhang

Open source

DOI
10.3389/fncom.2026.1773922
Published
2026-08-12
Container
Frontiers in Computational Neuroscience
Publisher
Frontiers Media SA
Open access
unknown

Credibility signals

uncertain Score 64/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

Cite this work

BibTeX

@article{allodium:10.3389/fncom.2026.1773922,
  title = {Explicit encoding of temporal dynamics for interpretable melody similarity modeling: insight into machine learning models},
  author = {Yilin Zhang},
  year = {2026},
  journal = {Frontiers in Computational Neuroscience},
  doi = {10.3389/fncom.2026.1773922},
  url = {https://doi.org/10.3389/fncom.2026.1773922}
}

RIS

TY  - JOUR
TI  - Explicit encoding of temporal dynamics for interpretable melody similarity modeling: insight into machine learning models
AU  - Yilin Zhang
PY  - 2026
JO  - Frontiers in Computational Neuroscience
DO  - 10.3389/fncom.2026.1773922
UR  - https://doi.org/10.3389/fncom.2026.1773922
ER  - 

APA

Zhang, Y. (2026). Explicit encoding of temporal dynamics for interpretable melody similarity modeling: insight into machine learning models. Frontiers in Computational Neuroscience. https://doi.org/10.3389/fncom.2026.1773922

Source records