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In a world where ideas flow freely between people across multiple platforms, we often find ourselves relying on others' information without an objective standard to judge whether those opinions are accurate. The present study tests an…

Social and Information Networks · Computer Science 2019-03-27 Niccolo Pescetelli , Nick Yeung

Meta-graph is currently the most powerful tool for similarity search on heterogeneous information networks,where a meta-graph is a composition of meta-paths that captures the complex structural information. However, current relevance…

Social and Information Networks · Computer Science 2018-09-13 Lichao Sun , Lifang He , Zhipeng Huang , Bokai Cao , Congying Xia , Xiaokai Wei , Philip S. Yu

The convergence of artificial intelligence, cyber-physical systems, and cross-enterprise data ecosystems has propelled industrial intelligence to unprecedented scales. Yet, the absence of a unified trust foundation across data, services,…

Computational Engineering, Finance, and Science · Computer Science 2026-01-09 Hailiang Zhao , Ziqi Wang , Daojiang Hu , Zhiwei Ling , Wenzhuo Qian , Jiahui Zhai , Yuhao Yang , Zhipeng Gao , Mingyi Liu , Kai Di , Xinkui Zhao , Zhongjie Wang , Jianwei Yin , MengChu Zhou , Shuiguang Deng

A model of an information system describes its processes and how resources are involved in these processes to manipulate data objects. This paper presents an extension to the Petri nets formalism suitable for describing information systems…

Formal Languages and Automata Theory · Computer Science 2026-04-08 Jan Martijn E. M. van der Werf , Andrey Rivkin , Marco Montali , Artem Polyvyanyy

In this work, we introduce an extremely general model for a collection of innovation processes in order to model and analyze the interaction among them. We provide theoretical results, analytically proven, and we show how the proposed model…

Applications · Statistics 2025-06-11 Giacomo Aletti , Irene Crimaldi , Andrea Ghiglietti

As one of the most fundamental models, meta learning aims to effectively address few-shot learning challenges. However, it still faces significant issues related to the training data, such as training inefficiencies due to numerous…

Machine Learning · Computer Science 2025-01-28 Chenyang Ren , Huanyi Xie , Shu Yang , Meng Ding , Lijie Hu , Di Wang

Space infrastructures have become an underpinning of modern society, but their associated cyber risks are little understood. This Dissertation advances the state-of-the-art via four contributions. (i) It introduces an innovative framework…

Cryptography and Security · Computer Science 2025-08-26 Ekzhin Ear

Recent cybersecurity events have prompted the federal government to begin investigating strategies to transition to Zero Trust Architectures (ZTA) for federal information systems. Within federated mission networks, ZTA provides measures to…

Cryptography and Security · Computer Science 2024-01-22 Keith Strandell , Sudip Mittal

Trust is a fundamental concept in large-scale distributed systems like the Internet of Things (IoT). Trust helps to resolve choices into a decision. However, the trust calculation depends on the amount of uncertainty present in data…

Distributed, Parallel, and Cluster Computing · Computer Science 2022-05-03 Vishal Venkatraman , Shantanu Pal , Zahra Jadidi , Alireza Jolfaei

While concept-based methods for information retrieval can provide improved performance over more conventional techniques, they require large amounts of effort to acquire the concepts and their qualitative and quantitative relationships.…

Artificial Intelligence · Computer Science 2013-04-05 Robert Fung , S. L. Crawford , Lee A. Appelbaum , Richard M. Tong

In the contemporary era of information explosion, we are often faced with the mixture of massive \emph{truth} (true information) and \emph{rumor} (false information) flooded over social networks. Under such circumstances, it is very…

Social and Information Networks · Computer Science 2020-01-24 Shan Qu , Ziqi Zhao , Luoyi Fu , XInbing Wang , Jun Xu

Nowadays, open-domain dialogue models can generate acceptable responses according to the historical context based on the large-scale pre-trained language models. However, they generally concatenate the dialogue history directly as the model…

Computation and Language · Computer Science 2021-06-07 Zekang Li , Jinchao Zhang , Zhengcong Fei , Yang Feng , Jie Zhou

News media has long been an ecosystem of creation, reproduction, and critique, where news outlets report on current events and add commentary to ongoing stories. Understanding the dynamics of news information creation and dispersion is…

Physics and Society · Physics 2022-09-30 Tobin South , Bridget Smart , Matthew Roughan , Lewis Mitchell

Although it has a history that goes back about three decades, Metaverse has grown to be one of the most talked-about subjects today. Metaverse gradually increased its influence in the realm of business discourse after initially being…

Computers and Society · Computer Science 2023-11-21 Amirmohammad Nateghi , Maedeh Mosharraf

Missing data in tabular dataset is a common issue as the performance of downstream tasks usually depends on the completeness of the training dataset. Previous missing data imputation methods focus on numeric and categorical columns, but we…

Computation and Language · Computer Science 2024-11-04 Ting-Ruen Wei , Yuan Wang , Yoshitaka Inoue , Hsin-Tai Wu , Yi Fang

Computational engineering generates knowledge through the analysis and interpretation of research data, which is produced by computer simulation. Supercomputers produce huge amounts of research data. To address a research question, a lot of…

Information Retrieval · Computer Science 2020-07-15 Björn Schembera , Dorothea Iglezakis

The analysis of the practices and the tendencies of the users at the time of the search for information on Internet makes it possible to highlight several points. The search for information becomes powerful after knowledge of the typology…

Human-Computer Interaction · Computer Science 2007-06-14 Marie-France Ango-Obiang

The Windows Vista operating system implements an interesting model of multi-level integrity. We observe that in this model, trusted code can be blamed for any information-flow attack; thus, it is possible to eliminate such attacks by static…

Cryptography and Security · Computer Science 2008-12-18 Avik Chaudhuri , Prasad Naldurg , Sriram Rajamani

We live in a world driven by data. The amount of it outgrows anyone's ability to oversee it or even observe its scope. Along with all the advances in the space of data management, there is still a significant lack of formalism and…

Databases · Computer Science 2020-02-03 Egor Pushkin

Despite the increasing interest in trust in human-robot interaction (HRI), there is still relatively little exploration of trust as a social construct in HRI. We propose that integration of useful models of human-human trust from…

Robotics · Computer Science 2023-08-10 David Cameron , Emily Collins , Stevienna de Saille , James Law
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