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EM-T1Natural Hazards and Earth System Sciences202525(4): 1459-1479From rockfall source area identification to susceptibility zonation: a proposed workflow tested on El Hierro (Canary Islands, Spain)Roberto Sarro, Mauro Rossi, Paola Reichenbach, Rosa María Mateos被引 6阅读 2高影响力 前 10%开放获取环境管理、监测、政策与法规
EM-T3Drug Safety201639(3): 231-240Social Media Mining for Toxicovigilance: Automatic Monitoring of Prescription Medication Abuse from TwitterAbeed Sarker, Karen O’Connor, Rachel Ginn, Matthew Scotch 等 7 人被引 202高影响力 前 1%基金开放获取公共卫生、环境与职业健康
A+Strategic Management JournalUTD24FT50202244(2): 491-519Using supervised machine learning for large‐scale classification in management research: The case for identifying artificial intelligence patentsMilan Miric, Nan Jia, Kenneth Guang-Lih Huang被引 214阅读 9高影响力 前 1%开放获取社会科学综合金融风险与机器学习
EM-WoSExpert Systems with Applications2027332: 133659MP-DistillFormer: Multimodal prototype distillation with self-supervised transformer for few-shot fine-grained classificationJia Min Lim, Kian Ming Lim, Chin Poo Lee被引 0阅读 4开放获取人工智能
EM-T1Geomatics, Natural Hazards and Risk20178(2): 1126-1143Use of aerial multispectral images for spatial analysis of flooded riverbed-alluvial plain systems: the case study of the Paglia River (central Italy)Raffaella Brigante, Corrado Cencetti, Pierluigi De Rosa, Andrea Fredduzzi 等 6 人被引 15阅读 2开放获取生态学洪涝风险与减灾
A+INFORMS Journal on ComputingUTD24202033(2): 419-835Supervisedt-Distributed Stochastic Neighbor Embedding for Data Visualization and ClassificationYichen Cheng, Xinlei Wang, Yusen Xia被引 20阅读 5基金开放获取计算机视觉与模式识别金融风险与机器学习
EM-T1Journal of Contingencies and Crisis Management201726(1): 16-27Disaster response aided by tweet classification with a domain adaptation approachHongmin Li, Doina Caragea, Cornelia Caragea, Nic Herndon被引 100阅读 2高影响力 前 1%基金开放获取传播学金融风险与机器学习
EM-WoSEuropean Journal of Operational Research2017261(2): 772-788Optimization approaches to Supervised ClassificationAntónio Pedro Duarte Silva被引 34高影响力 前 10%信息系统
EM-T2Injury Prevention202229(2): 134-141Detecting intimate partner violence circumstance for suicide: development and validation of a tool using natural language processing and supervised machine learning in the National Violent Death Reporting SystemJulie M. Kafka, Mike Dolan Fliss, Pamela J. Trangenstein, H. Luz McNaughton Reyes 等 6 人被引 19高影响力 前 10%基金临床心理学金融风险与机器学习
EM-T3Academic Emergency Medicine202028(2): 263-267Machine Learning in Emergency Medicine: Keys to Future SuccessRichard Andrew Taylor, Adrian D. Haimovich被引 19开放获取健康信息学金融风险与机器学习
EM-WoSEuropean Journal of Operational Research2023317(2): 273-285Supervised feature compression based on counterfactual analysisVeronica Piccialli, Dolores Romero Morales, Cecilia Salvatore被引 2基金开放获取人工智能金融风险与机器学习
EM-T1Reliability Engineering & System Safety2025264: 111369-111369Addressing the label dilemma: A self-semi-supervised step-wise complementary label boosting strategy for industrial anomaly detectionJiayang Yang, Chunhui Zhao被引 5阅读 5控制与系统工程
EM-T1International Journal of Disaster Risk Science202415(3): 421-433Data-Driven Earthquake Multi-impact Modeling: A Comparison of ModelsH. Patten, Max Anderson Loake, David Steinsaltz被引 8阅读 3开放获取交通运输复合灾害与灾害链金融风险与机器学习
EM-T3Drug Safety202245(5): 583-596Supervised Machine Learning-Based Decision Support for Signal Validation ClassificationMuhammad Imran, Aasia Bhatti, David M. King, Magnus Lerch 等 7 人被引 31高影响力 前 10%基金开放获取毒理学金融风险与机器学习
A+INFORMS Journal on ComputingUTD242026Mixed Integer Linear Optimization Formulations for Learning Optimal Binary Classification TreesBrandon Alston, Hamidreza Validi, Illya V. Hicks被引 0阅读 3数值分析金融风险与机器学习
EM-WoSExpert Systems with Applications2027332: 133695Clustering-guided graph contrastive learning for short-text classificationJing Zhou, Zhenyang Tang, Hui Dong, Xin Liu被引 0阅读 3开放获取人工智能
EM-T1Geomatics, Natural Hazards and Risk202517(1)Combining moored observations and SAR images in validating compound flood modelsMirko Barada, Martin W. Skov, Matthew Lewis, Peter Robins被引 0阅读 1开放获取全球变化洪涝风险与减灾
EM-T1Geomatics, Natural Hazards and Risk20157(4): 1426-1441Exposure, hazard and risk mapping during a flood event using open source geospatial technologyArpit Aggarwal被引 23阅读 1开放获取全球变化洪涝风险与减灾
EM-WoSEuropean Journal of Operational Research2023314(3): 1159-1173Sentiment classification of time-sync comments: A semi-supervised hierarchical deep learning methodRenzhi Gao, Xiaoyu Yao, Zhao Wang, Mohammad Zoynul Abedin被引 11基金开放获取人工智能金融风险与机器学习
