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Titlebook: Artificial Intelligence. ECAI 2023 International Workshops; XAI^3, TACTIFUL, XI- S?awomir Nowaczyk,Przemys?aw Biecek,Vania Dimitrov Confere

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發(fā)表于 2025-3-21 19:07:58 | 只看該作者 |倒序瀏覽 |閱讀模式
期刊全稱Artificial Intelligence. ECAI 2023 International Workshops
期刊簡稱XAI^3, TACTIFUL, XI-
影響因子2023S?awomir Nowaczyk,Przemys?aw Biecek,Vania Dimitrov
視頻videohttp://file.papertrans.cn/163/162558/162558.mp4
學科分類Communications in Computer and Information Science
圖書封面Titlebook: Artificial Intelligence. ECAI 2023 International Workshops; XAI^3, TACTIFUL, XI- S?awomir Nowaczyk,Przemys?aw Biecek,Vania Dimitrov Confere
影響因子This volume constitutes the refereed proceedings presented at the international workshops of the?26th European Conference on Artificial Intelligence, ECAI 2023, which was held in?Kraków, Poland, in?September-October 2023.?The papers in this volume were presented at the following workshops: XAI^3, TACTIFUL, XI-ML, SEDAMI, RAAIT, AI4S, HYDRA, AI4AI..
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Yaochu Jin,Hangyu Zhu,Yang Chennd cannot fully consider various dynamic features. In this paper, we propose a novel and generic method based on dynamic graph embedding and clustering. Inspired by the existing knowledge about dynamic opinion leader detection, the proposed method can exploit both the topological and temporal inform
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https://doi.org/10.1007/978-3-031-07838-5ta mining process. In many cases though, the resulting set of association rules is by far too big and confusing for a . to extract useful knowledge. Moreover, the domain expert might often expect that particular association rules are generated by the data mining process and would like to be able to
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