Concept-based AI interpretability in physiological time-series data: Example of abnormality detection in electroencephalography.
- DOI
- 10.1016/j.cmpb.2024.108448
- Published
- 2024 Dec
- Container
- Computer methods and programs in biomedicine
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.cmpb.2024.108448,
title = {Concept-based AI interpretability in physiological time-series data: Example of abnormality detection in electroencephalography.},
author = {Brenner A and Knispel F and Fischer FP and Rossmanith P and Weber Y and Koch H and Röhrig R and Varghese J and Kutafina E},
year = {2024},
journal = {Computer methods and programs in biomedicine},
doi = {10.1016/j.cmpb.2024.108448},
url = {https://doi.org/10.1016/j.cmpb.2024.108448}
}RIS
TY - JOUR TI - Concept-based AI interpretability in physiological time-series data: Example of abnormality detection in electroencephalography. AU - Brenner A AU - Knispel F AU - Fischer FP AU - Rossmanith P AU - Weber Y AU - Koch H AU - Röhrig R AU - Varghese J AU - Kutafina E PY - 2024 JO - Computer methods and programs in biomedicine DO - 10.1016/j.cmpb.2024.108448 UR - https://doi.org/10.1016/j.cmpb.2024.108448 ER -
APA
A, B., F, K., FP, F., P, R., Y, W., H, K., R, R., J, V., & E, K. (2024). Concept-based AI interpretability in physiological time-series data: Example of abnormality detection in electroencephalography.. Computer methods and programs in biomedicine. https://doi.org/10.1016/j.cmpb.2024.108448
Source records
- pubmed · retrieved 2026-09-25T23:16:59.020Z