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Risky lane-changing behavior recognition based on stacking ensemble learning on snowy and icy surfaces. [PDF]

Sci Rep
Du X, Zhao W.
europepmc   +1 more source

Identifying the spatial pattern and driving factors of nitrate in groundwater using a novel framework of interpretable stacking ensemble learning. [PDF]

Environ Geochem Health
Li X, Liang G, Wang L, Yang Y, Li Y, Li Z, He B, Wang G.   +7 more
europepmc   +1 more source

Multimodal MRI radiomics-based stacking ensemble learning model with automatic segmentation for prognostic prediction of HIFU ablation of uterine fibroids: a multicenter study. [PDF]

Front Physiol
Wen B, Li C, Cai Q, Shen D, Bu X, Zhou F.   +5 more
europepmc   +1 more source

¹⁸F-FDG PET/CT-based habitat radiomics combining stacking ensemble learning for predicting prognosis in hepatocellular carcinoma: a multi-center study. [PDF]

BMC Cancer
Sui C, Su Q, Chen K, Tan R, Wang Z, Liu Z, Xu W, Li X.   +7 more
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Detection of fake face images using lightweight convolutional neural networks with stacking ensemble learning method. [PDF]

PeerJ Comput Sci
Şafak E, Barışçı N.
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Automated bone marrow cell classification using ensemble learning: performance, generalization, and clinical interpretability. [PDF]

Front Med (Lausanne)
Mehmood S, Zubair M, Abbas S, Alharbi RM, Alduailij M, Khan MA, Ghazal TM.   +6 more
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Evaluating ensemble learning approaches for horizontal gene transfer detection. [PDF]

Sci Rep
Wijaya AJ, Anžel A, Hattab G.
europepmc   +1 more source

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A stacking-based ensemble learning method for earthquake casualty prediction

Applied Soft Computing Journal, 2021
Abstract The estimation of the loss and prediction of the casualties in earthquake-stricken areas are vital for making rapid and accurate decisions during rescue efforts. The number of casualties is determined by various factors, necessitating a comprehensive system for earthquake-casualty prediction.
Shaoze Cui, Yunqiang Yin, Dujuan Wang
exaly   +2 more sources