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EM-T2Journal of Risk Model Validation2023Forecasting the default risk of Chinese listed companies using a gradient-boosted decision tree based on the undersampling techniqueShanshan Wang, Guotai Chi, Ying Nan Zhou, Li Chen被引 2阅读 3会计
EM-WoSExpert Systems with Applications2027333: 134065Acquisition-efficient full-matrix ultrasound computed tomography via mask-aware spatiotemporal wavelet data completionZexi Yan, Dan Gao, Chenbin Ma, Rihui Xue 等 8 人被引 0阅读 8基金开放获取生物医学工程
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EM-T2BMC Public Health202222(1): 251-251Construction of Xinjiang metabolic syndrome risk prediction model based on interpretable modelsYan Zhang, Jaina Razbek, Deyang Li, Lei Yang 等 10 人被引 10阅读 3基金开放获取内分泌与代谢
EM-T1Natural Hazards Review202324(4)Urban Flood Inundation Probability Assessment Based on an Improved Bayesian ModelJing Yu Huang, Lu Zhuo, Jingwen She, Jinle Kang 等 6 人被引 5阅读 3基金开放获取全球变化洪涝风险与减灾
EM-T1Accident Analysis & Prevention2025226: 108338-108338Solution to data imbalance and complex interactions in traffic conflict modeling: a hypergraph and generative AI approachKai Yuan Guan, Junyi Zhang, Wei Ye, Ying Yan Jiang被引 3阅读 5基金开放获取安全、风险、可靠性与质量大模型与智能体金融风险与机器学习
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EM-T2Traffic Injury Prevention20261-9Improved Balanced Random Forest (iBRF): A flexible hybrid resampling-bagging framework for crash severity classification in imbalanced datasetsSeyed Iman Mohammadpour, Javadreza Vahedi被引 2阅读 3高影响力 前 10%人工智能金融风险与机器学习
EM-WoSExpert Systems with Applications2026331: 133455-133455Self-adaptive undersampling with data-driven hypersphere modeling for class-imbalanced classification with overlapXinmin Tao, Yina Yao, Zhang Zundong, Annan Xu 等 5 人被引 0阅读 1基金人工智能
EM-WoSExpert Systems with Applications2024249: 123328-123328Undersampling method based on minority class density for imbalanced dataZhongqiang Sun, Wenhao Ying, Wenjin Zhang, Shengrong Gong被引 98阅读 2高影响力 前 1%基金人工智能
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EM-WoSExpert Systems with Applications2023227: 120219-120219Anomaly detection of vectorized time series on aircraft battery dataMoting Su, Wenjie Zhao, Ye Zhu, Donglan Zha 等 6 人被引 9阅读 2基金开放获取人工智能
EM-WoSExpert Systems with Applications2023221: 119735-119735Class-overlap undersampling based on Schur decomposition for Class-imbalance problemsQi Dai, Jian–wei Liu, Yong-hui Shi被引 93阅读 1高影响力 前 10%人工智能
EM-WoSInformation Sciences2022608: 1131-1156An efficiency curve for evaluating imbalanced classifiers considering intrinsic data characteristics: Experimental analysisXiangrui Chao, Gang Kou, Yi Peng, Alberto Fernández被引 23阅读 3基金开放获取人工智能
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EM-T1Stochastic Environmental Research and Risk Assessment202034(8): 1281-1283Undersampling in action and at scale: application to the COVID-19 pandemicAndreas Langousis, Alin Andrei Carsteanu被引 9阅读 5开放获取建模与仿真
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