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Trees

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ProbStab: A probabilistic ML-assisted pipeline for genotype performance, stability, and risk evaluation in multi-environment trials

Mohammadreza Shiri

Interpretable machine learning with Bayesian optimization for bond strength prediction of steel reinforcement in geopolymer concrete

Viet Hung Tran, Viet Hai Hoang, Quang Minh Tran

Explainability in action: A metric-driven assessment of local explanations for healthcare tabular models

M. Atif Qureshi, Abdul Aziz Noor, [ ... ], Wael Rashwan

The value of looking ahead: Comparing conventional and strategic Mountain Pine Beetle (Dendroctonus ponderosae) management policies in North America

Emma J. Hudgins, Rory McIntosh, [ ... ], Denys Yemshanov

Impact of hydropower availability on resource adequacy of the United States western interconnection

Sai Veena Sunkara, Srihari Sundar, [ ... ], Ariel Miara

Identifying policy-relevant traffic crash risk factors in Cheongju, South Korea using logistic regression and explainable machine learning

Eun-Ji Lee, Sua Kim, Hyun-Ji Lee, Jae-Hwan Jhong

First steps towards distinguishing Mediterranean vegetation root marks on bones: An experimental approach

Alba Macho-Callejo, Dores Marin-Monfort, [ ... ], Yolanda Fernández-Jalvo

A Hybrid AI-Mathematical approach for epidemic threshold prediction in metapopulation networks: Integrating physics-guided neural networks with spectral graph theory

Etienne Kouokam

Tree ring segmentation performance in highly disturbed trees using deep learning

Joe David Zambrano-Suárez, Jorge Pérez-Martín, Alberto Muñoz-Torrero Manchado, Juan Antonio Ballesteros Cánovas

Benchmark of biomarker identification and prognostic modeling methods on diverse censored data

Wesley Fletcher, Samiran Sinha

Data subdivision approach enhances machine learning-based mortality prediction in pediatric ICU patients

Wenqian Chen, Benjamin Lee, [ ... ], Yanli Ren

Machine learning approaches for predicting preventive maintenance costs of expressways in Xinjiang

Chunyan Jia, Jianhui An, Shengqiang Ma, Xiaomin Dai

Explainable machine learning reveals diverse yield-determining factors among Thai rice farmer cohorts: Implications for targeted agricultural support

Manusnan Suriyalaksh, Benjapon Prommawin, [ ... ], Sutkhet Nakasathien

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