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Titlebook: Machine Learning and Knowledge Discovery in Databases. Research Track; European Conference, Albert Bifet,Jesse Davis,Indrė Žliobaitė Confer

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发表于 2025-3-21 17:55:06 | 显示全部楼层 |阅读模式
书目名称Machine Learning and Knowledge Discovery in Databases. Research Track
副标题European Conference,
编辑Albert Bifet,Jesse Davis,Indrė Žliobaitė
视频video
丛书名称Lecture Notes in Computer Science
图书封面Titlebook: Machine Learning and Knowledge Discovery in Databases. Research Track; European Conference, Albert Bifet,Jesse Davis,Indrė Žliobaitė Confer
描述.This multi-volume set, LNAI 14941 to LNAI 14950, constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2024, held in Vilnius, Lithuania, in September 2024... ..The papers presented in these proceedings are from the following three conference tracks: -..Research Track:. The 202 full papers presented here, from this track, were carefully reviewed and selected from 826 submissions. These papers are present in the following volumes: Part I, II, III, IV, V, VI, VII, VIII... ..Demo Track: .The 14 papers presented here, from this track, were selected from 30 submissions. These papers are present in the following volume: Part VIII... ..Applied Data Science Track: .The 56 full papers presented here, from this track, were carefully reviewed and selected from 224 submissions. These papers are present in the following volumes: Part IX and Part X..
出版日期Conference proceedings 2024
关键词artificial intelligence; computer security; computational modelling; computer systems; computer vision; d
版次1
doihttps://doi.org/10.1007/978-3-031-70359-1
isbn_softcover978-3-031-70358-4
isbn_ebook978-3-031-70359-1Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

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Lecture Notes in Computer Sciencehttp://image.papertrans.cn/m/image/620538.jpg
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Machine Learning and Knowledge Discovery in Databases. Research Track978-3-031-70359-1Series ISSN 0302-9743 Series E-ISSN 1611-3349
发表于 2025-3-22 10:35:21 | 显示全部楼层
0302-9743 owledge Discovery in Databases, ECML PKDD 2024, held in Vilnius, Lithuania, in September 2024... ..The papers presented in these proceedings are from the following three conference tracks: -..Research Track:. The 202 full papers presented here, from this track, were carefully reviewed and selected f
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Linear Modeling of the Adversarial Noise Space these universal directions and the associated adversarial attacks. Empirical analyses conducted with the CIFAR-10 and ImageNet datasets show that LIMANS (i) enables crafting specific and robust adversarial attacks with high probability, (ii) provides a deeper understanding of DNN flaws, and (iii) shows significant ability in transferability.
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Novel Node Category Detection Under Subpopulation Shiftction mechanism, RECO-SLIP addresses the dual challenges of resilience against subpopulation shifts and the effective exploitation of graph structure. Our extensive empirical evaluation across multiple graph datasets demonstrates the superior performance of RECO-SLIP over existing methods. The experimental code is available at: ..
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