Enhancing classification in correlative microscopy using multiple classifier systems with dynamic selection
- DOI
- 10.1016/j.ultramic.2022.113567
- Published
- 2022-10
- Container
- Ultramicroscopy
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.ultramic.2022.113567,
title = {Enhancing classification in correlative microscopy using multiple classifier systems with dynamic selection},
author = {Samuel Bitrus and Harald Fitzek and Eugen Rigger and Johannes Rattenberger and Doris Entner},
year = {2022},
journal = {Ultramicroscopy},
doi = {10.1016/j.ultramic.2022.113567},
url = {https://doi.org/10.1016/j.ultramic.2022.113567}
}RIS
TY - JOUR TI - Enhancing classification in correlative microscopy using multiple classifier systems with dynamic selection AU - Samuel Bitrus AU - Harald Fitzek AU - Eugen Rigger AU - Johannes Rattenberger AU - Doris Entner PY - 2022 JO - Ultramicroscopy DO - 10.1016/j.ultramic.2022.113567 UR - https://doi.org/10.1016/j.ultramic.2022.113567 ER -
APA
Bitrus, S., Fitzek, H., Rigger, E., Rattenberger, J., & Entner, D. (2022). Enhancing classification in correlative microscopy using multiple classifier systems with dynamic selection. Ultramicroscopy. https://doi.org/10.1016/j.ultramic.2022.113567
Source records
- crossref · retrieved 2026-09-25T23:52:38.043Z