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EM-T1Geomatics, Natural Hazards and Risk202617(1)Comparison of machine learning algorithms combined with metaheuristic-based feature selection methods for debris flow susceptibility assessmentsAnmin Li, Kun Gao, Aihua Wei, He Li 等 7 人被引 2阅读 3高影响力 前 10%基金开放获取环境管理、监测、政策与法规复合灾害与灾害链金融风险与机器学习
EM-T1Geomatics, Natural Hazards and Risk202415(1)Machine learning and SHAP-based susceptibility assessment of storm flood in rapidly urbanizing areas: a case study of Shenzhen, ChinaJuchao Zhao, Chunbo Zhang, Jin Wang, Zaheer Abbas 等 5 人被引 44阅读 2高影响力 前 10%基金开放获取全球变化洪涝风险与减灾金融风险与机器学习
EM-T1Geomatics, Natural Hazards and Risk202112(1): 741-762Modelling and predicting landslide displacements and uncertainties by multiple machine-learning algorithms: application to Baishuihe landslide in Three Gorges Reservoir, ChinaYanan Jiang, Qiang Xu, Zhong Lu, Huiyuan Luo 等 6 人被引 34阅读 1高影响力 前 10%基金开放获取环境管理、监测、政策与法规复合灾害与灾害链
EM-T1Natural Hazards2023116(3): 3521-3546Comparison of machine learning tools for damage classification: the case of L’Aquila 2009 earthquakeFederica Di Michele, Enrico Stagnini, Donato Pera, Bruno Rubino 等 7 人被引 10阅读 2基金开放获取土木与结构工程复合灾害与灾害链金融风险与机器学习
A+Operations ResearchUTD24FT50202170(1): 309-328Customer Choice Models vs. Machine Learning: Finding Optimal Product Displays on AlibabaJacob Feldman, Dennis Zhang, Xiaofei Liu, Nannan Zhang被引 83阅读 2高影响力 前 10%市场营销金融风险与机器学习
EM-T1Natural Hazards2024120(8): 7211-7244Predictive machine learning for gully susceptibility modeling with geo-environmental covariates: main drivers, model performance, and computational efficiencyKwanele Phinzi, Szilárd Szabó被引 22阅读 1高影响力 前 10%基金开放获取土壤科学金融风险与机器学习
EM-T1Geomatics, Natural Hazards and Risk202112(1): 1973-2001A comparative evaluation of machine learning algorithms and an improved optimal model for landslide susceptibility: a case studyYue Liu, Peihua Xu, Chen Cao, Bo Shan 等 8 人被引 25阅读 2高影响力 前 10%基金开放获取环境管理、监测、政策与法规复合灾害与灾害链金融风险与机器学习
EM-T1Geomatics, Natural Hazards and Risk202415(1)Robustness of machine learning algorithms to generate flood susceptibility maps for watersheds in JordanMohanned S. Al-Sheriadeh, Mohammad A. Daqdouq被引 17阅读 3高影响力 前 10%开放获取全球变化洪涝风险与减灾金融风险与机器学习
EM-T1Natural Hazards2026122(7)Research on the application of the extreme learning machine model based on the slime mold optimization algorithm in landslide tsunami disaster early warning under small-sample tasksAoyu Wang, Ke Qu, Chao Wang, Xu Wang 等 5 人被引 0阅读 2人工智能复合灾害与灾害链疏散行为与风险认知
A+Operations ResearchUTD24FT50202271(4): 1318-1342Accelerated MM Algorithms for Inference of Ranking Scores from Comparison DataMilan Vojnović, Se-Young Yun, Kaifang Zhou被引 2阅读 4经济学与计量经济学金融风险与机器学习
EM-T1Natural Hazards2024120(8): 6991-7014Comparison of machine learning algorithms for slope stability prediction using an automated machine learning approachТалас Фикрет Курназ, Caner Erden, Угур Дагдевирен, Alparslan Serhat Demir 等 5 人被引 61阅读 2高影响力 前 1%安全、风险、可靠性与质量金融风险与机器学习
EM-T1Natural Hazards2022113(2): 965-995Rainfall-induced landslide susceptibility mapping using machine learning algorithms and comparison of their performance in Hilly area of Fujian Province, ChinaPeng Ye, Bin Yu, Wenhong Chen, Kan Liu 等 5 人被引 81阅读 1高影响力 前 1%基金环境管理、监测、政策与法规复合灾害与灾害链金融风险与机器学习
EM-T1Natural Hazards201790(1): 237-263Comparison of machine-learning techniques for landslide susceptibility mapping using two-level random sampling (2LRS) in Alakir catchment area, Antalya, TurkeyMetehan Ada, Bekir Taner San被引 78阅读 1高影响力 前 10%基金环境管理、监测、政策与法规复合灾害与灾害链
EM-T1Geomatics, Natural Hazards and Risk202617(1)A comparative assessment of supervised models for landslide susceptibility mapping: a case study of Qiongzhong county, Hainan Island, ChinaXin Li, Hao Yu, Yuan Yang, Jie Yu Li 等 7 人被引 0阅读 1开放获取环境管理、监测、政策与法规复合灾害与灾害链
EM-T1Geomatics, Natural Hazards and Risk202112(1): 2462-2476Predicting susceptibility to landslides under climate change impacts in metropolitan areas of South Korea using machine learningSang-Jin Park, Dong-kun Lee被引 37高影响力 前 10%开放获取环境管理、监测、政策与法规复合灾害与灾害链金融风险与机器学习
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A+INFORMS Journal on ComputingUTD24202538(2): 463-489Machine Learning-Empowered Benders Decomposition for Flow Hub Location in E-CommerceTao Wu, Weiwei Chen, Jean‐François Cordeau, Raf Jans被引 4阅读 2高影响力 前 10%组织行为与人力资源管理金融风险与机器学习
