Quantitative Evaluation of xAI Methods for Multivariate Time Series - A Case Study for a CNN-Based MI Detection Model
- DOI
- 10.1007/978-3-031-63803-9_9
- Published
- 2024
- Container
- Communications in Computer and Information Science
- Publisher
- Springer Nature Switzerland
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1007/978-3-031-63803-9_9,
title = {Quantitative Evaluation of xAI Methods for Multivariate Time Series - A Case Study for a CNN-Based MI Detection Model},
author = {Helene Knof and Michell Boerger and Nikolay Tcholtchev},
year = {2024},
journal = {Communications in Computer and Information Science},
doi = {10.1007/978-3-031-63803-9_9},
url = {https://doi.org/10.1007/978-3-031-63803-9_9}
}RIS
TY - JOUR TI - Quantitative Evaluation of xAI Methods for Multivariate Time Series - A Case Study for a CNN-Based MI Detection Model AU - Helene Knof AU - Michell Boerger AU - Nikolay Tcholtchev PY - 2024 JO - Communications in Computer and Information Science DO - 10.1007/978-3-031-63803-9_9 UR - https://doi.org/10.1007/978-3-031-63803-9_9 ER -
APA
Knof, H., Boerger, M., & Tcholtchev, N. (2024). Quantitative Evaluation of xAI Methods for Multivariate Time Series - A Case Study for a CNN-Based MI Detection Model. Communications in Computer and Information Science. https://doi.org/10.1007/978-3-031-63803-9_9
Source records
- crossref · retrieved 2026-11-10T10:43:04.144Z