NEUROCOG-DysNet: a multi-scale cognitive feature engineering framework with stacking ensemble for improved dyslexia screening.

M S, S M

DOI: 10.3389/frai.2026.1909141
Published: 2026
Container: Frontiers in artificial intelligence
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.3389/frai.2026.1909141,
  title = {NEUROCOG-DysNet: a multi-scale cognitive feature engineering framework with stacking ensemble for improved dyslexia screening.},
  author = {M S and S M},
  year = {2026},
  journal = {Frontiers in artificial intelligence},
  doi = {10.3389/frai.2026.1909141},
  url = {https://doi.org/10.3389/frai.2026.1909141}
}

RIS

TY  - JOUR
TI  - NEUROCOG-DysNet: a multi-scale cognitive feature engineering framework with stacking ensemble for improved dyslexia screening.
AU  - M S
AU  - S M
PY  - 2026
JO  - Frontiers in artificial intelligence
DO  - 10.3389/frai.2026.1909141
UR  - https://doi.org/10.3389/frai.2026.1909141
ER  -

APA

S, M., & M, S. (2026). NEUROCOG-DysNet: a multi-scale cognitive feature engineering framework with stacking ensemble for improved dyslexia screening.. Frontiers in artificial intelligence. https://doi.org/10.3389/frai.2026.1909141

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pubmed · retrieved 2026-09-25T07:44:11.685Z