A+Operations ResearchUTD24FT502026204-238其他On Some Perspectives of Gradient-Based Optimization Algorithms in Machine LearningN. Munikumar, Bala Krushna Tripathy, R. Manjula被引 0阅读 2人工智能金融风险与机器学习
EM-T1Stochastic Environmental Research and Risk Assessment202640(5)Machine learning-based rainfall prediction across temporal scales: model benchmarking and explainability analysisTarık Talan被引 2阅读 3高影响力 前 10%基金开放获取环境工程应急治理与韧性政策金融风险与机器学习
EM-T2BMC Public Health2026Predicting health, economy, and environmental indicators: a comparative machine learning approachMurat Tekbaş, Elif Aktepe被引 1阅读 1开放获取经济学与计量经济学金融风险与机器学习
EM-WoSExpert Systems with Applications2027333: 133812Predicting loss given default with interpretable machine learning: A SHAP-Based analysis of pre-default transactional features and clustering in unsecured credit card portfoliosPetter Eilif de Lange, Åmund Engmark, Benjamin Kjelby, Morten Risstad 等 6 人被引 0开放获取会计金融风险与机器学习
EM-T1Natural Hazards2025121(11): 13765-13810A novel framework for flood susceptibility assessment using hybrid analytic hierarchy process-based machine learning methodsChiranjit Singha, Neha Chakraborty, Satiprasad Sahoo, Quoc Bao Pham 等 5 人被引 28高影响力 前 1%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-T1Stochastic Environmental Research and Risk Assessment202640(1)A novel approach for earthquake spatial probability modeling by integration of geodetic strain into explainable artificial intelligence (XAI)Süleyman Sefa Bilgilioğlu, Cemil Gezgin, Halil İbrahim Solak, İbrahim Tiryakioğlu被引 6阅读 2高影响力 前 1%基金开放获取地球物理学复合灾害与灾害链金融风险与机器学习
EM-T2Traffic Injury Prevention20261-12Insurance claim level estimation and influencing factor analysis for electric vehicles: A case study in Changsha cityJunqing Ye, Xin Deng, Jinjun Tang被引 0经济学与计量经济学金融风险与机器学习
EM-T1Geomatics, Natural Hazards and Risk202617(1)Development of machine learning-based site amplification models for Japan from borehole recordingsLe-Anh-Nhat Nguyen, Yong‐Gook Lee, Duhee Park, Chi‐Chin Tsai被引 1阅读 1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
EM-T2BMC Public Health202626(1)Determinants of modern family planning use among married adolescents in Bangladesh: evidence from a machine learning approachShawkatul Islam, Md Eyah Eya, Muhammad Khairul Alam被引 0阅读 2开放获取公共卫生、环境与职业健康金融风险与机器学习
EM-T1Risk Analysis202646(1): e70183-e70183From Prediction to Prevention: Using Text Mining and Explainable Machine Learning for Urban Bus Accident AnalyticsBowei Chen, Yufei Huang, Yu Zheng, Xiaofeng Liu被引 5高影响力 前 1%基金开放获取安全、风险、可靠性与质量金融风险与机器学习
EM-T1Geomatics, Natural Hazards and Risk202516(1)Ensemble intelligence for urban resilience: flood susceptibility modeling in Mumbai using advanced machine learningHarekrishna Manna, Mridul Chandra Das, Malay Pramanik, Sanjit Sarkar 等 8 人被引 5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 Risk202516(1)Evolution of landslide susceptibility in the Three Gorges Reservoir area over the three decades from 1991 to 2020Jiahui Dong, Jinrong Duan, Runqing Ye, Ming Li 等 6 人被引 17高影响力 前 1%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-T1International Journal of Disaster Risk Reduction2025132: 105978-105978Waterlogging susceptibility assessment in developed urban area using explainable machine learning methods with different negative sampling strategiesQingshan Zhang, Suhua Zhou, Jie Li, Zhiwen Xu被引 2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-T1Risk Analysis202344(2): 459-476An interpretable XGBoost‐based approach for Arctic navigation risk assessmentShuaiyu Yao, Qinhao Wu, Qi Kang, Yu‐Wang Chen 等 5 人被引 26高影响力 前 10%基金开放获取海洋工程
EM-T1Geomatics, Natural Hazards and Risk202516(1)Flood susceptibility mapping in the Nyabarongo Catchment, Rwanda, based on data analysis and modelingLeonard Nzabonantuma, Gilbert Nduwayezu, Seyed Amir Naghibi, Erik D. Nilsson 等 6 人被引 5基金开放获取全球变化洪涝风险与减灾
EM-T3Drug Safety2026Optimising Pharmacovigilance Efficiency with MLIT (Machine Learning for Intelligent Triage): A Tool for Statistical Safety AlertsLuciano Ciccarelli, Olivia Mahaux, Christie Roshan, Ami Fofana 等 10 人被引 0阅读 2开放获取毒理学金融风险与机器学习
EM-WoSExpert Systems with Applications2027333: 133978A physical soft-constraint interpretability-based multimodal deep learning model for small-sample fault diagnosis of pressurized water reactor coolant systems in nuclear power plantsKeshun You, Haidong Shao, Yajun Wang, Yanhui Lin 等 5 人被引 1阅读 1控制与系统工程金融风险与机器学习
EM-T1Stochastic Environmental Research and Risk Assessment202539(8): 3333-3352Seasonal heatwave forecasting with explainable machine learning and remote sensing dataJung-Ching Kan, Marlon Vieira Passos, Georgia Destouni, Karina Barquet 等 6 人被引 7高影响力 前 10%基金开放获取全球变化金融风险与机器学习
EM-T1Natural Hazards2026122(5)Unveiling the performance of pre-processing approaches in machine learning based flood susceptibility mappingNihal Gülcan, Ömer Ekmekcioğlu被引 2阅读 1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 Risk202415(1)Considering the effect of non-landslide sample selection on landslide susceptibility assessmentYouchen Zhu, Deliang Sun, Haijia Wen, Qiang Zhang 等 8 人被引 48阅读 2高影响力 前 1%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
