DEMN 发表于 2025-3-26 21:55:22

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溃烂 发表于 2025-3-27 02:38:00

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Insufficient 发表于 2025-3-27 06:25:03

Power, Politics, and the Civil Sphereingful concepts achieving 4.8% higher concept completeness and 36.5% lower purity scores on average, (iii) provide high-quality concept-based logic explanations for their prediction, and (iv) support effective interventions at test time: these can increase human trust as well as improve model performance.

cancellous-bone 发表于 2025-3-27 10:17:24

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Hormones 发表于 2025-3-27 15:20:24

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TSH582 发表于 2025-3-27 19:48:56

Hassan Namazi,Mohsen Mosadegh,Mozhgan Hayasi or not. In this paper, we study an out-of-distribution (OoD) detection approach based on a rule-based eXplainable Artificial Intelligence (XAI) model. Specifically, the method relies on an innovative metric, i.e., the weighted mutual information, able to capture the different way decision rules are used in case of in- and OoD data.

ECG769 发表于 2025-3-27 22:23:54

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赔偿 发表于 2025-3-28 03:12:15

Weighted Mutual Information for Out-Of-Distribution Detection or not. In this paper, we study an out-of-distribution (OoD) detection approach based on a rule-based eXplainable Artificial Intelligence (XAI) model. Specifically, the method relies on an innovative metric, i.e., the weighted mutual information, able to capture the different way decision rules are used in case of in- and OoD data.

停止偿付 发表于 2025-3-28 09:28:04

Communications in Computer and Information Sciencehttp://image.papertrans.cn/e/image/319287.jpg

享乐主义者 发表于 2025-3-28 14:22:56

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查看完整版本: Titlebook: Explainable Artificial Intelligence; First World Conferen Luca Longo Conference proceedings 2023 The Editor(s) (if applicable) and The Auth