Zarchi, M., Nazari, R. A., & Tee, K. F. (2025). Explainable multi-attribute machine learning via a hierarchical nature-inspired system toward predicting geological hazards. Modeling Earth Systems and Environment, 11(4). https://doi.org/10.1007/s40808-025-02421-z

ZARCHI, Milad, NAZARI, Reza A. und TEE, Kong Fah, 2025. Explainable multi-attribute machine learning via a hierarchical nature-inspired system toward predicting geological hazards. Modeling Earth Systems and Environment. 1 August 2025. Vol. 11, no. 4, . DOI 10.1007/s40808-025-02421-z.

Zarchi, M., R. A. Nazari, und K. F. Tee. „Explainable Multi-Attribute Machine Learning via a Hierarchical Nature-Inspired System Toward Predicting Geological Hazards“. Modeling Earth Systems and Environment, Bd. 11, Nr. 4, August 2025, https://doi.org/10.1007/s40808-025-02421-z.

Zarchi, Milad/Nazari, Reza A./Tee, Kong Fah: Explainable multi-attribute machine learning via a hierarchical nature-inspired system toward predicting geological hazards, Modeling Earth Systems and Environment 2025,

Zarchi, M., Nazari, R.A. und Tee, K.F. (2025), „Explainable multi-attribute machine learning via a hierarchical nature-inspired system toward predicting geological hazards“, Modeling Earth Systems and Environment, Vol. 11 No. 4, verfügbar unter:https://doi.org/10.1007/s40808-025-02421-z.