Comparative analysis of artificial neural networks and classical machine learning models for predicting subclinical mastitis in dairy cows, with SHAP-based interpretation of predictions
- DOI
- 10.3168/jds.2026-28817
- Published
- 2026-09
- Container
- Journal of Dairy Science
- Publisher
- American Dairy Science Association
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.3168/jds.2026-28817,
title = {Comparative analysis of artificial neural networks and classical machine learning models for predicting subclinical mastitis in dairy cows, with SHAP-based interpretation of predictions},
author = {A. Satoła and K. Satoła},
year = {2026},
journal = {Journal of Dairy Science},
doi = {10.3168/jds.2026-28817},
url = {https://doi.org/10.3168/jds.2026-28817}
}RIS
TY - JOUR TI - Comparative analysis of artificial neural networks and classical machine learning models for predicting subclinical mastitis in dairy cows, with SHAP-based interpretation of predictions AU - A. Satoła AU - K. Satoła PY - 2026 JO - Journal of Dairy Science DO - 10.3168/jds.2026-28817 UR - https://doi.org/10.3168/jds.2026-28817 ER -
APA
Satoła, A., & Satoła, K. (2026). Comparative analysis of artificial neural networks and classical machine learning models for predicting subclinical mastitis in dairy cows, with SHAP-based interpretation of predictions. Journal of Dairy Science. https://doi.org/10.3168/jds.2026-28817
Source records
- crossref · retrieved 2026-09-25T19:51:47.416Z