Cognitive prototype learning: Towards self-supervised and semantic-aware few-shot open-set sound recognition.
- DOI
- 10.1016/j.neunet.2026.109008
- Published
- 2026 Oct
- Container
- Neural networks : the official journal of the International Neural Network Society
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.neunet.2026.109008,
title = {Cognitive prototype learning: Towards self-supervised and semantic-aware few-shot open-set sound recognition.},
author = {Jiang Y and Li X and Yang C},
year = {2026},
journal = {Neural networks : the official journal of the International Neural Network Society},
doi = {10.1016/j.neunet.2026.109008},
url = {https://doi.org/10.1016/j.neunet.2026.109008}
}RIS
TY - JOUR TI - Cognitive prototype learning: Towards self-supervised and semantic-aware few-shot open-set sound recognition. AU - Jiang Y AU - Li X AU - Yang C PY - 2026 JO - Neural networks : the official journal of the International Neural Network Society DO - 10.1016/j.neunet.2026.109008 UR - https://doi.org/10.1016/j.neunet.2026.109008 ER -
APA
Y, J., X, L., & C, Y. (2026). Cognitive prototype learning: Towards self-supervised and semantic-aware few-shot open-set sound recognition.. Neural networks : the official journal of the International Neural Network Society. https://doi.org/10.1016/j.neunet.2026.109008
Source records
- pubmed · retrieved 2026-09-26T09:06:25.123Z