首页|New Artificial Intelligence Study Findings Have Been Reported by Investigators a t University of Michigan (Shapley-based Explainable Ai for Clustering Applicatio ns In Fault Diagnosis and Prognosis)
New Artificial Intelligence Study Findings Have Been Reported by Investigators a t University of Michigan (Shapley-based Explainable Ai for Clustering Applicatio ns In Fault Diagnosis and Prognosis)
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators publish new report on Ar tificial Intelligence. According to news reportingoriginating from Ann Arbor, M ichigan, by NewsRx correspondents, research stated, “Data-driven artificialinte lligence models require explainability in intelligent manufacturing to streamlin e adoption and trustin modern industry. However, recently developed explainable artificial intelligence (XAI) techniques thatestimate feature contributions on a model-agnostic level such as SHapley Additive exPlanations (SHAP)have not ye t been evaluated for semi-supervised fault diagnosis and prognosis problems char acterized byclass imbalance and weakly labeled datasets.”
Ann ArborMichiganUnited StatesNort h and Central AmericaArtificial IntelligenceEmerging TechnologiesMachine L earningUniversity of Michigan
NETL
NSTL
