Evolving optimal text clusters: A novel GA-driven framework for dynamic ensemble fusion of multi-model contextual embeddings.

Sabah A, Alaa Z

DOI: 10.1371/journal.pone.0353506
Published: 2026
Container: PloS one
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1371/journal.pone.0353506,
  title = {Evolving optimal text clusters: A novel GA-driven framework for dynamic ensemble fusion of multi-model contextual embeddings.},
  author = {Sabah A and Alaa Z},
  year = {2026},
  journal = {PloS one},
  doi = {10.1371/journal.pone.0353506},
  url = {https://doi.org/10.1371/journal.pone.0353506}
}

RIS

TY  - JOUR
TI  - Evolving optimal text clusters: A novel GA-driven framework for dynamic ensemble fusion of multi-model contextual embeddings.
AU  - Sabah A
AU  - Alaa Z
PY  - 2026
JO  - PloS one
DO  - 10.1371/journal.pone.0353506
UR  - https://doi.org/10.1371/journal.pone.0353506
ER  -

APA

A, S., & Z, A. (2026). Evolving optimal text clusters: A novel GA-driven framework for dynamic ensemble fusion of multi-model contextual embeddings.. PloS one. https://doi.org/10.1371/journal.pone.0353506

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pubmed · retrieved 2026-09-26T08:02:50.714Z