Supplementary Materials for "Interpretable machine learning for cardiogram-based biometrics"
The repository contains Supplementary materials for the "Interpretable machine learning for cardiogram-based biometrics" paper. If you find the provided materials useful for your own research and teaching class, please cite the following references: Tanasković, I., Lazarević, L. B., Knežević, G., Milosavljević, N., Dubljević, O., Bjegojević, B., & Miljković, N. (2025). Interpretable machine learning for cardiogram-based biometrics. arXiv preprint. https://doi.org/10.48550/arXiv.2510.19775
Institutions
- Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" (IT)
- University of Ljubljana (SI)
- University of Belgrade (RS)
- Institut za filozofiju (HR)
- Human Factors (Norway) (NO)
- Technological University Dublin (IE)
- University of Belgrade - School of Electrical Engineering
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2026-02-04
- DOI
- https://doi.org/10.5281/zenodo.17408262
- Primary Topic
- ECG Monitoring and Analysis
- Type
- article
- Field-Weighted Citation Impact
- 0.00