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检索条件"丛书名=Lecture notes in computer science,"
300228 条 记 录,以下是4911-4920 订阅
排序:
Exploiting Internal Randomness for Privacy in Vertical Federated Learning  29th
Exploiting Internal Randomness for Privacy in Vertical Feder...
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29th European Symposium on Research in computer Security (ESORICS)
作者: Sun, Yulian Duan, Li Mendes, Ricardo Zhu, Derui Xia, Yue Li, Yong Fischer, Asja Huawei Technol Dusseldorf Dusseldorf Germany Paderborn Univ Paderborn Germany Ruhr Univ Bochum Bochum Germany Tech Univ Munich Munich Germany
Vertical Federated Learning (VFL) is becoming a standard collaborative learning paradigm with various practical applications. Randomness is essential to enhancing privacy in VFL, but introducing too much external rand...
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Enhancing Social Media Profile Authenticity Detection: A Bio-Inspired Algorithm Approach  1
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6th International Conference on Machine Learning for Networking (MLN)
作者: Mahammed, Nadir Klouche, Badia Saidi, Imene Khaldi, Miloud Fahsi, Mahmoud Ecole Super Informat Sidi Bel Abbes LabRI SBA Lab PO 73 Sidi Bel Abbes 22016 Algeria Univ Djillali Liabes Sidi Bel Abbes EEDIS Lab PO 89 Sidi Bel Abbes 22000 Algeria
In the contemporary digital landscape, the pervasive and far-reaching impact of online social networks is indisputable. Prominent platforms such as Instagram, Facebook, and Twitter frequently grapple with the persiste...
来源: 评论
Composition Machines: Programming Self-organising Software Models for the Emergence of Sequential Program Spaces  18th
Composition Machines: Programming Self-organising Software M...
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18th International Conference on Theoretical Aspects of Software Engineering (TASE)
作者: Arellanes, Damian Univ Lancaster Lancaster LA1 4WA England
We are entering a new era in which software systems are becoming more and more complex and larger. So, the composition of such systems is becoming infeasible by manual means. To address this challenge, self-organising...
来源: 评论
A Deep Learning Approach for Selective Relevance Feedback  46th
A Deep Learning Approach for Selective Relevance Feedback
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46th European Conference on Information Retrieval (ECIR)
作者: Datta, Suchana Ganguly, Debasis MacAvaney, Sean Greene, Derek Univ Coll Dublin Dublin Ireland Univ Glasgow Glasgow Lanark Scotland
Pseudo-relevance feedback (PRF) can enhance average retrieval effectiveness over a sufficiently large number of queries. However, PRF often introduces a drift into the original information need, thus hurting the retri...
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Foundations for Query-based Runtime Monitoring of Temporal Properties over Runtime Models  27th
Foundations for Query-based Runtime Monitoring of Temporal P...
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27th International Conference on Fundamental Approaches to Software Engineering (FASE)
作者: Sakizloglou, Lucas Giese, Holger Lambers, Leen Brandenburg Tech Univ Cottbus Cottbus Germany Univ Potsdam Hasso Plattner Inst Potsdam Germany
In model-driven engineering, runtime monitoring of systems with complex dynamic structures is typically performed via a runtime model capturing a snapshot of the system state: the model is represented as a graph and p...
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On Disjunction Convex Hulls by Lifting  8th
On Disjunction Convex Hulls by Lifting
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8th International Symposium on Combinatorial Optimization (ISCO)
作者: Qu, Yushan Lee, Jon Univ Michigan Ann Arbor MI 48109 USA
We study the natural extended-variable formulation for the disjunction of n+1 polytopes in R-d. We demonstrate that the convex hull D in the natural extended-variable space Rd+n is given by full optimal big-M lifting ...
来源: 评论
Splossoms: Spherical Blossoms  40th
Splossoms: Spherical Blossoms
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40th computer Graphics International Conference (CGI)
作者: Rockwood, Alyn Boulder CO United States
This paper provides an overview of spherical blossoms, called splossoms, and some of its implications. The blossom of a polynomial is a multi-affine function of euclidean space with the same number of variables as the...
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Inferring Metabolic States from Single Cell Transcriptomic Data via Geometric Deep Learning  28th
Inferring Metabolic States from Single Cell Transcriptomic D...
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28th Annual International Conference on Research in Computational Molecular Biology (RECOMB)
作者: Steach, Holly Viswanath, Siddharth He, Yixuan Zhang, Xitong Ivanova, Natalia Hirn, Matthew Perlmutter, Michael Krishnaswamy, Smita Yale Univ Dept Genet New Haven CT 06520 USA Yale Univ Dept Comp Sci New Haven CT 06520 USA Univ Oxford Dept Stat Oxford England Michigan State Univ Dept Computat Math Sci & Engn E Lansing MI 48824 USA Univ Georgia Dept Biochem & Mol Biol Athens GA 30602 USA Boise State Univ Dept Math Boise ID 83725 USA Boise State Univ Program Comp Boise ID 83725 USA Yale Univ Wu Tsai Inst New Haven CT 06520 USA Yale Univ Program Computat Biol & Bioinformat New Haven CT 06520 USA
The ability to measure gene expression at single-cell resolution has elevated our understanding of how biological features emerge from complex and interdependent networks at molecular, cellular, and tissue scales. As ...
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Harnessing Structure Theory of Petri Nets in Discrete Event System Simulation  1
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45th International Conference on Application and Theory of Petri Nets and Concurrency (Petri Nets)
作者: Colom, Jose-Manuel Univ Zaragoza Aragon Inst Engn Res I3A Zaragoza Spain
Nowadays Discrete Event Systems (DESs) require complex and large models, for which distributed simulation engines become, in practice, the tools used to understand and analyze their behavior. The feasibility and effic...
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Benchmarking Named Entity Recognition Approaches for Extracting Research Infrastructure Information from Text  1
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9th Annual Conference on Machine Learning, Optimization and Data science (LOD)
作者: Cheirmpos, Georgios Tabatabaei, Seyed Amin Kanoulas, Evangelos Tsatsaronis, Georgios Elsevier BV Amsterdam Netherlands Univ Amsterdam Amsterdam Netherlands
Named entity recognition (NER) is an important component of many information extraction and linking pipelines. The task is especially challenging in a low-resource scenario, where there is very limited amount of high ...
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