Redefining parameter-efficiency in ADHD diagnosis: A lightweight attention-driven kolmogorov-arnold network with reduced parameter complexity and a novel activation function.
- DOI
- 10.1016/j.pscychresns.2025.112016
- Published
- 2025 Aug
- Container
- Psychiatry research. Neuroimaging
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.pscychresns.2025.112016,
title = {Redefining parameter-efficiency in ADHD diagnosis: A lightweight attention-driven kolmogorov-arnold network with reduced parameter complexity and a novel activation function.},
author = {Deepika and Sharma M and Arora S},
year = {2025},
journal = {Psychiatry research. Neuroimaging},
doi = {10.1016/j.pscychresns.2025.112016},
url = {https://doi.org/10.1016/j.pscychresns.2025.112016}
}RIS
TY - JOUR TI - Redefining parameter-efficiency in ADHD diagnosis: A lightweight attention-driven kolmogorov-arnold network with reduced parameter complexity and a novel activation function. AU - Deepika AU - Sharma M AU - Arora S PY - 2025 JO - Psychiatry research. Neuroimaging DO - 10.1016/j.pscychresns.2025.112016 UR - https://doi.org/10.1016/j.pscychresns.2025.112016 ER -
APA
Deepika, M, S., & S, A. (2025). Redefining parameter-efficiency in ADHD diagnosis: A lightweight attention-driven kolmogorov-arnold network with reduced parameter complexity and a novel activation function.. Psychiatry research. Neuroimaging. https://doi.org/10.1016/j.pscychresns.2025.112016
Source records
- pubmed · retrieved 2026-09-25T11:49:10.371Z