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Trường DC Giá trịNgôn ngữ
dc.contributorIndranath Chatterjee-
dc.contributorVasile Palade-
dc.contributor.authorMayuri Mehta-
dc.date.accessioned2026-04-23T02:55:28Z-
dc.date.available2026-04-23T02:55:28Z-
dc.date.issued2023-
dc.identifier.urihttp://thuvienso.thanglong.edu.vn//handle/TLU/13662-
dc.description.abstractThis book presents an overview and several applications of explainable artificial intelligence (XAI). It covers different aspects related to explainable artificial intelligence, such as the need to make the AI models interpretable, how black box machine/deep learning models can be understood using various XAI methods, different evaluation metrics for XAI, human-centered explainable AI, and applications of explainable AI in health care, security surveillance, transportation, among other areas.vi
dc.language.isovivi
dc.publisherSpringervi
dc.subjectArtificial intelligence | Machine learning | Data mining | Explainable artificial intelligence | Trí tuệ nhân tạo có thể giải thích đượcvi
dc.titleExplainable AI: Foundations, Methodologies and Applicationsvi
dc.typeSách/Bookvi
Bộ sưu tậpKhoa học máy tính - Toán

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