Beyond Subject-Specific Models in Dynamical Human--Machine Interaction: Benchmarking and Optimization Strategies.

Manneschi L, Ellis MOA, Donati E

Open source

DOI
10.1109/tnnls.2026.3662308
Published
2026 Sep
Container
IEEE transactions on neural networks and learning systems
Publisher
Not recorded
Open access
unknown

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BibTeX

@article{allodium:10.1109/tnnls.2026.3662308,
  title = {Beyond Subject-Specific Models in Dynamical Human--Machine Interaction: Benchmarking and Optimization Strategies.},
  author = {Manneschi L and Ellis MOA and Donati E},
  year = {2026},
  journal = {IEEE transactions on neural networks and learning systems},
  doi = {10.1109/tnnls.2026.3662308},
  url = {https://doi.org/10.1109/tnnls.2026.3662308}
}

RIS

TY  - JOUR
TI  - Beyond Subject-Specific Models in Dynamical Human--Machine Interaction: Benchmarking and Optimization Strategies.
AU  - Manneschi L
AU  - Ellis MOA
AU  - Donati E
PY  - 2026
JO  - IEEE transactions on neural networks and learning systems
DO  - 10.1109/tnnls.2026.3662308
UR  - https://doi.org/10.1109/tnnls.2026.3662308
ER  - 

APA

L, M., MOA, E., & E, D. (2026). Beyond Subject-Specific Models in Dynamical Human--Machine Interaction: Benchmarking and Optimization Strategies.. IEEE transactions on neural networks and learning systems. https://doi.org/10.1109/tnnls.2026.3662308

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