Calibrated Machine Learning with Temporal Leakage Controls for Rare-Event Forecasting of Port Activity Anomalies: Evidence from Selected African Countries and Indonesia
- DOI
- 10.3390/app16189017
- Published
- 2026-09-11
- Container
- Applied Sciences
- Publisher
- MDPI AG
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.3390/app16189017,
title = {Calibrated Machine Learning with Temporal Leakage Controls for Rare-Event Forecasting of Port Activity Anomalies: Evidence from Selected African Countries and Indonesia},
author = {Tomasz Rokicki and Piotr Bórawski and Aneta Bełdycka-Bórawska and Bogdan Klepacki},
year = {2026},
journal = {Applied Sciences},
doi = {10.3390/app16189017},
url = {https://doi.org/10.3390/app16189017}
}RIS
TY - JOUR TI - Calibrated Machine Learning with Temporal Leakage Controls for Rare-Event Forecasting of Port Activity Anomalies: Evidence from Selected African Countries and Indonesia AU - Tomasz Rokicki AU - Piotr Bórawski AU - Aneta Bełdycka-Bórawska AU - Bogdan Klepacki PY - 2026 JO - Applied Sciences DO - 10.3390/app16189017 UR - https://doi.org/10.3390/app16189017 ER -
APA
Rokicki, T., Bórawski, P., Bełdycka-Bórawska, A., & Klepacki, B. (2026). Calibrated Machine Learning with Temporal Leakage Controls for Rare-Event Forecasting of Port Activity Anomalies: Evidence from Selected African Countries and Indonesia. Applied Sciences. https://doi.org/10.3390/app16189017
Source records
- crossref · retrieved 2026-09-25T02:33:06.003Z