用户名  找回密码
 To register

QQ登录

只需一步,快速开始

扫一扫,访问微社区

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

[复制链接]
楼主: FORAY
发表于 2025-3-30 08:50:57 | 显示全部楼层
Power, Politics, and the Civil Sphereing post-hoc explanations, however, they fail to make the model itself more interpretable. To fill this gap, we introduce the Concept Distillation Module, the first differentiable concept-distillation approach for graph networks. The proposed approach is a layer that can be plugged into any graph ne
发表于 2025-3-30 15:04:10 | 显示全部楼层
发表于 2025-3-30 16:52:25 | 显示全部楼层
发表于 2025-3-30 22:15:32 | 显示全部楼层
发表于 2025-3-31 02:23:33 | 显示全部楼层
Hassan Namazi,Mohsen Mosadegh,Mozhgan Hayasiot (in- or out-of-distribution) to the ones the ML system has been trained on may lead to potentially fatal consequences. Operational data compliance with the training data has to be verified by the data analyst, who must also understand, in operation, if the autonomous decision-making is still safe
发表于 2025-3-31 05:48:09 | 显示全部楼层
Popular Narratives of the Cochlear Implantnot discriminate against specific groups of people becomes crucial. Reaching this objective requires a multidisciplinary approach that includes domain experts, data scientists, philosophers, and legal experts, to ensure complete accountability for algorithmic decisions. In such a context, Explainabl
发表于 2025-3-31 11:50:23 | 显示全部楼层
978-3-031-44069-4The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
发表于 2025-3-31 14:06:19 | 显示全部楼层
Explainable Artificial Intelligence978-3-031-44070-0Series ISSN 1865-0929 Series E-ISSN 1865-0937
发表于 2025-3-31 20:54:02 | 显示全部楼层
https://doi.org/10.1007/978-3-031-44070-0artificial intelligence; interpretable machine learning; causal inference & explanations; argumentative
发表于 2025-4-1 00:03:09 | 显示全部楼层
Opening the Black Box: Analyzing Attention Weights and Hidden States in Pre-trained Language Models e recent advancements in pre-trained language models based on transformers and their increasing integration into daily life, addressing this issue has become more pressing. In order to achieve an explainable AI model, it is essential to comprehend the procedural steps involved and compare them with
 关于派博传思  派博传思旗下网站  友情链接
派博传思介绍 公司地理位置 论文服务流程 影响因子官网 SITEMAP 大讲堂 北京大学 Oxford Uni. Harvard Uni.
发展历史沿革 期刊点评 投稿经验总结 SCIENCEGARD IMPACTFACTOR 派博系数 清华大学 Yale Uni. Stanford Uni.
|Archiver|手机版|小黑屋| 派博传思国际 ( 京公网安备110108008328) GMT+8, 2025-6-15 14:59
Copyright © 2001-2015 派博传思   京公网安备110108008328 版权所有 All rights reserved
快速回复 返回顶部 返回列表