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EM-WoSInformation Sciences2024690: 121582-121582Unveiling diagnostic information for type 2 diabetes through interpretable machine learningXiang Lv, Jiesi Luo, Yonglin Zhang, Hui Min Guo 等 8 人被引 6阅读 6基金开放获取人工智能金融风险与机器学习
EM-WoSInformation Sciences2024663: 120276-120276FE-RNN: A fuzzy embedded recurrent neural network for improving interpretability of underlying neural networkJames Chee Min Tan, Qi Ping Cao, Chai Hiok Quek被引 38阅读 5高影响力 前 10%开放获取人工智能金融风险与机器学习
EM-T2Journal of Risk Model Validation2023Shapley values as an interpretability technique in credit scoringHendrik Anders du Toit, Willem D. Schutte, Helgard Raubenheimer被引 6阅读 4人工智能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阅读 5开放获取健康信息学金融风险与机器学习
EM-T1Reliability Engineering & System Safety2024253: 110556-110556A sound-vibration physical-information fusion constraint-guided deep learning method for rolling bearing fault diagnosisYou Keshun, Wang Puzhou, Peng Huang, Yingkui Gu被引 162阅读 9高影响力 前 1%基金开放获取控制与系统工程金融风险与机器学习
A+INFORMS Journal on ComputingUTD24202538(3): 766-782PIE—Partially Interpretable Estimators with RefinementTong Wang, Jingyi Yang, Yunyi Li, Boxiang Wang被引 0阅读 8人工智能金融风险与机器学习
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EM-WoSExpert Systems with Applications2025296: 128814-128814Capsule networks for intelligent fault diagnosis: a roadmap of recent advancements and challengesYang Dalian, Zou Junjun, Hui Long被引 12阅读 2高影响力 前 10%基金开放获取控制与系统工程
EM-WoSExpert Systems with Applications2024267: 126191-126191On many-objective feature selection and the need for interpretabilityUchechukwu F. Njoku, Alberto Abelló, Besim Bilalli, Gianluca Bontempi被引 3阅读 2开放获取计算理论与数学
A+Production and Operations ManagementUTD24FT50202231(7): 2773-2788Forecasting venue popularity on location‐based services using interpretable machine learningLei Wang, Ram Gopal, Ramesh Shankar, Joseph Pancras被引 35阅读 9高影响力 前 10%社会学与政治学金融风险与机器学习
EM-T3Scandinavian Journal of Trauma, Resuscitation and Emergency Medicine202634(1): 26-26Research trends and ethical perspectives on explainable artificial intelligence in emergency medicine: a bibliometric analysisMeliha Fındık被引 6阅读 4高影响力 前 1%开放获取人工智能
EM-T1Risk Analysis202545(8): 2097-2115Applications of interpretable ensemble learning for workplace risk assessment: The Chinese coal industry as an exampleQifei Wang, YiHan Zhao, Junlong Wang, Shuai Liu 等 8 人被引 4阅读 5开放获取安全、风险、可靠性与质量金融风险与机器学习
EM-T2Journal of Credit Risk2023using the XGBoost classification algorithm and model interpretability techniquesArsh Anand, Bart Baesens, Rosanne Vanpée被引 2阅读 3金融
EM-WoSInformation Sciences2022609: 1381-1396Visualizing deep networks using segmentation recognition and interpretation algorithmYongchang Ding, Chang Liu, Haifeng Zhu, Jie Liu 等 5 人被引 10阅读 3开放获取人工智能金融风险与机器学习
A+Production and Operations ManagementUTD24FT502025Toward a Fairness-Aware Scoring System for Algorithmic Decision-MakingYi Yang, Ying Wu, Xiangyu Chang, Mei Li 等 5 人被引 2阅读 9开放获取安全研究公平—效率权衡金融风险与机器学习
EM-WoSInformation Sciences2024690: 121564-121564Tree smoothing: Post-hoc regularization of tree ensembles for interpretable machine learningBastian Pfeifer, Arne Gevaert, Markus Loecher, Andreas Holzinger被引 22阅读 6高影响力 前 10%基金开放获取人工智能金融风险与机器学习
EM-WoSExpert Systems with Applications2024255: 124678-124678Physics-informed machine learning: A comprehensive review on applications in anomaly detection and condition monitoringYuandi Wu, Brett S. Sicard, S. Andrew Gadsden被引 368阅读 7高影响力 前 1%基金开放获取控制与系统工程金融风险与机器学习
EM-T2Journal of Risk Model Validation2021What can we learn from what a machine has learned? Interpreting credit risk machine learning modelsNehalkumar Bharodia, Wei Chen被引 4阅读 2人工智能金融风险与机器学习
EM-WoSExpert Systems with Applications2025285: 127979-127979IRAF-BRB: An explainable AI framework for enhanced interpretability in project risk assessmentBodrunnessa Badhon, Ripon Kumar Chakrabortty, Sreenatha Gopalarao Anavatti, Mario Vanhoucke被引 19阅读 7高影响力 前 1%开放获取管理科学与运筹学复合灾害与灾害链
