fundoplication
发表于 2025-3-21 18:15:08
书目名称Explainable AI: Foundations, Methodologies and Applications影响因子(影响力)<br> http://figure.impactfactor.cn/if/?ISSN=BK0319284<br><br> <br><br>书目名称Explainable AI: Foundations, Methodologies and Applications影响因子(影响力)学科排名<br> http://figure.impactfactor.cn/ifr/?ISSN=BK0319284<br><br> <br><br>书目名称Explainable AI: Foundations, Methodologies and Applications网络公开度<br> http://figure.impactfactor.cn/at/?ISSN=BK0319284<br><br> <br><br>书目名称Explainable AI: Foundations, Methodologies and Applications网络公开度学科排名<br> http://figure.impactfactor.cn/atr/?ISSN=BK0319284<br><br> <br><br>书目名称Explainable AI: Foundations, Methodologies and Applications被引频次<br> http://figure.impactfactor.cn/tc/?ISSN=BK0319284<br><br> <br><br>书目名称Explainable AI: Foundations, Methodologies and Applications被引频次学科排名<br> http://figure.impactfactor.cn/tcr/?ISSN=BK0319284<br><br> <br><br>书目名称Explainable AI: Foundations, Methodologies and Applications年度引用<br> http://figure.impactfactor.cn/ii/?ISSN=BK0319284<br><br> <br><br>书目名称Explainable AI: Foundations, Methodologies and Applications年度引用学科排名<br> http://figure.impactfactor.cn/iir/?ISSN=BK0319284<br><br> <br><br>书目名称Explainable AI: Foundations, Methodologies and Applications读者反馈<br> http://figure.impactfactor.cn/5y/?ISSN=BK0319284<br><br> <br><br>书目名称Explainable AI: Foundations, Methodologies and Applications读者反馈学科排名<br> http://figure.impactfactor.cn/5yr/?ISSN=BK0319284<br><br> <br><br>
骇人
发表于 2025-3-21 22:02:19
Black Box Models for eXplainable Artificial Intelligence,o multiple small options for the IDS area. This chapter aims to implement the arrangement of issues labeled in the various black box methods. This survey helps the researcher to understand the classification of various black box models.
PTCA635
发表于 2025-3-22 03:25:18
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后退
发表于 2025-3-22 07:15:13
Methods and Metrics for Explaining Artificial Intelligence Models: A Review, For clarity on the XAI implementation stage, Pre-model, In-model, and Post-model explainability are elaborated along with the model-agnostic and model-specific techniques. The chapter concludes with a brief discussion on a simple use-case of implementing the XAI method in a real-life problem follow
群居男女
发表于 2025-3-22 09:31:14
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FLIP
发表于 2025-3-22 14:37:27
Explainable Machine Learning for Autonomous Vehicle Positioning Using SHAP, is a safety critical one and thus requires a qualitative assessment of the reasons for the predictions of the WhONet model at any point of use. There is therefore the need to provide explanations for the WhONet’s predictions to justify its reliability and thus provide a higher level of transparency
FLIP
发表于 2025-3-22 18:09:33
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LAIR
发表于 2025-3-23 00:43:02
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无王时期,
发表于 2025-3-23 04:53:26
An Overview of Explainable AI Methods, Forms and Frameworks,
FLOAT
发表于 2025-3-23 08:08:39
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