An interpretable multimodal deep learning model for physiological stress detection.

Tibermacine A, Tibermacine IE, Mancer M, Rabehi A, Guettala W, Habib M

DOI: 10.1371/journal.pone.0360314
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.0360314,
  title = {An interpretable multimodal deep learning model for physiological stress detection.},
  author = {Tibermacine A and Tibermacine IE and Mancer M and Rabehi A and Guettala W and Habib M},
  year = {2026},
  journal = {PloS one},
  doi = {10.1371/journal.pone.0360314},
  url = {https://doi.org/10.1371/journal.pone.0360314}
}

RIS

TY  - JOUR
TI  - An interpretable multimodal deep learning model for physiological stress detection.
AU  - Tibermacine A
AU  - Tibermacine IE
AU  - Mancer M
AU  - Rabehi A
AU  - Guettala W
AU  - Habib M
PY  - 2026
JO  - PloS one
DO  - 10.1371/journal.pone.0360314
UR  - https://doi.org/10.1371/journal.pone.0360314
ER  -

APA

A, T., IE, T., M, M., A, R., W, G., & M, H. (2026). An interpretable multimodal deep learning model for physiological stress detection.. PloS one. https://doi.org/10.1371/journal.pone.0360314

Source records

pubmed · retrieved 2026-11-10T10:09:06.038Z