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Titlebook: Receptors and Other Targets for Toxic Substances; Proceedings of the E Philip L. Chambers,Eszter Cholnoky,Claire M. Chamb Conference procee

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書目名稱Receptors and Other Targets for Toxic Substances
副標(biāo)題Proceedings of the E
編輯Philip L. Chambers,Eszter Cholnoky,Claire M. Chamb
視頻videohttp://file.papertrans.cn/824/823564/823564.mp4
叢書名稱Archives of Toxicology
圖書封面Titlebook: Receptors and Other Targets for Toxic Substances; Proceedings of the E Philip L. Chambers,Eszter Cholnoky,Claire M. Chamb Conference procee
出版日期Conference proceedings 1985
關(guān)鍵詞ATP; DNA; Ethanol; Oxidation; dopamine; enzymes; mercury; metabolism; pesticide; zinc
版次1
doihttps://doi.org/10.1007/978-3-642-69928-3
isbn_softcover978-3-540-13670-5
isbn_ebook978-3-642-69928-3Series ISSN 0171-9750
issn_series 0171-9750
copyrightSpringer-Verlag Berlin Heidelberg 1985
The information of publication is updating

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gating the concern, Explainable AI (XAI) is an emerging area of research. In pre-modeling explainability, which is one of the notions of explainability, one can introduce explainability before training the model. One can also introduce explainability during training of the model or after training th
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L. Dencker nowadays available in nearly every field, be it science or social domain. As much of these collected data are time-sensitive, they need to be utilized timely to give an effective outcome. Data fusion is of paramount significance in enhancing the collected data‘s effectiveness. But, today, as AI has
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O. Bene?ová,A. Pavlíknatural language processing and automatic text generation anThe importance of Trustworthy and Explainable Artificial Intelligence (XAI) is recognized in academia, industry and society. This book introduces tools for dealing with imprecision and uncertainty in XAI applications where explanations are
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