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检索条件"机构=Department of informatics and Computer Engineering"
15268 条 记 录,以下是4891-4900 订阅
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SmartCHANGE: AI-based long-term health risk evaluation for driving behaviour change strategies in children and youth  3
SmartCHANGE: AI-based long-term health risk evaluation for d...
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3rd International Conference on Applied Mathematics and computer Science, ICAMCS 2023
作者: Rescic, Nina Alberts, Janna Altenburg, Teatske M. Chinapaw, Mai J. M. De Nigro, Antonio Fenoglio, Dario Gjoreski, Martin Gradisek, Anton Jurak, Gregor Kiourtis, Athanasios Kyriazis, Dimosthenis Langheinrich, Marc Mancuso, Elena Mavrogiorgou, Argyro Pechenizkiy, Mykola Pratola, Roberto Ribeiro, Jose Soric, Maroje Taj, Fawad Tammelin, Tuija H. Vastenburg, Martijn Vilanova, Anna Vrijkotte, Tanja G. M. Lustrek, Mitja Jožef Stefan Institute Department of Intelligent Systems Ljubljana Slovenia ConnectedCare Research & Development Nijmegen Netherlands Vrije Universiteit Amsterdam Amsterdam Public Health Research Institute Department of Public and Occupational Health Amsterdam Umc Amsterdam Netherlands Informatica S.p.A. Engineering Ingegneria Rome Italy Università della Svizzera Italiana Faculty of Informatics Lugano Switzerland University of Ljubljana Faculty of Sports Ljubljana Slovenia University of Piraeus Department of Digital Systems Piraeus Greece Eindhoven University of Technology Department of Mathematics and Computer Science Eindhoven Netherlands University of Porto Faculty of Sport Porto Portugal Jamk University of Applied Sciences Likes School of Health and Social Studies Jyväskylä Finland
The SmartCHANGE project, a Horizon-Europe Research & Innovation project that has been ongoing since May 2023 and is scheduled to conclude in April 2027, aims to develop AI-driven decision-support tools to identify... 详细信息
来源: 评论
HE-DKSAP: Privacy-Preserving Stealth Address Protocol via Additively Homomorphic Encryption
arXiv
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arXiv 2023年
作者: Yan, Yuping Shao, George Song, Dennis Song, Mason Jin, Yaochu Trustworthy and General AI Lab School of Engineering Westlake University Hangzhou310024 China Mind Network Singapore Faculty of Informatics Department of Computeralgebra Budapest1117 Hungary Ethereum Foundation Zug Switzerland Department of Computer Science University of Surrey Surry GuildfordGU2 7XH United Kingdom
Blockchain transactions have gained widespread adoption across various industries, largely attributable to their unparalleled transparency and robust security features. Nevertheless, this technique introduces various ... 详细信息
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The stratified K-folds cross-validation and class-balancing methods with high-performance ensemble classifiers for breast cancer classification
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Healthcare Analytics 2023年 4卷 100247-100247页
作者: T R, Mahesh V, Vinoth Kumar V, Dhilip Kumar Geman, Oana Margala, Martin Guduri, Manisha Department of Computer Science and Engineering Faculty of Engineering and Technology JAIN (Deemed-to-be University) Bangalore 562112 India School of Computer Science Engineering & Information Systems (SCORE) Vellore Institute of Technology (VIT) 632014 India School of Computing Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology Chennai 600062 India Department of Computers Electronics and Automation Faculty of Electrical Engineering and Computer Science Stefan cel Mare University of Suceava Suceava 720229 Romania School of Computing and Informatics University of Louisiana at Lafayette United States
Breast cancer is one of the most common causes of death among women, and early diagnosis is vital for reducing the fatality rate. This study evaluates the most widely used machine-learning breast cancer prediction and... 详细信息
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Effect of lead time prediction accuracy in trust-based resource sharing
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IFAC-PapersOnLine 2021年 第1期54卷 1126-1131页
作者: Ádám Szaller Botond Kádár Centre of Excellence in Production Informatics and Control Institute for Computer Science and Control Budapest Hungary Department of Manufacturing Science and Engineering Budapest University of Technology and Economics Budapest Hungary
Nowadays, challenges are changing production facilities: decentralized production networks are replacing centralized organizations to remain competitive. This paper investigates a resource sharing approach where match... 详细信息
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Towards Quantum Graph Neural Networks: An Ego-Graph Learning Approach
arXiv
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arXiv 2022年
作者: Ai, Xing Sun, Luzhe Yan, Junchi Zhang, Zhihong Hancock, Edwin R. School of Informatics Xiamen University Fujian Xiamen China Computer Science Department in University of Chicago ChicagoIL United States Department of Computer Science and Engineering MOE Key Lab of Artificial Intelligence Shanghai Jiao Tong University Shanghai200240 China University of York York United Kingdom
Quantum machine learning is a fast-emerging field that aims to tackle machine learning using quantum algorithms and quantum computing. Due to the lack of physical qubits and an effective means to map real-world data f... 详细信息
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Duplicate-sensitivity guided transformation synthesis for DBMS correctness bug detection
arXiv
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arXiv 2021年
作者: Zhang, Yushan Yao, Peisen Wu, Rongxin Zhang, Charles Department of Computer Science and Engineering HKUST Hong Kong Department of Cyber Space Security School of School of Informatics Xiamen University Xiamen China
Database Management System (DBMS) plays a core role in modern software from mobile apps to online banking. It is critical that the DBMS provides correct data to all applications. When the DBMS returns incorrect data, ... 详细信息
来源: 评论
Delayed Feedback with Selection Bias in Recommender Systems
Delayed Feedback with Selection Bias in Recommender Systems
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Data Analytics, Computing and Artificial Intelligence (ICDACAI), International Conference on
作者: Renjie Mao Chenhao Xu Kaifeng Jin Xiaotong Li Shuning Zhang Xiao Yang School of Informatics The University of Edinburgh Edinburgh UK Department of Computer Science University of Illinois Urbana-Champaign Champaign US School of Computer Science University of Nottingham Ningbo China Ningbo China Department of Mathematics College of Arts of Sciences The University of Chicago US The Grainger College of Engineering University of Illinois Urbana-Champaign Champaign US College of Sciences Virginia Polytechnic Institute and State University Blacksburg US
One challenge for online advertising companies is the lack of time-sensitive data, as users may not buy the product immediately after clicking on the ads. Wanting to improve the performance of their products, advertis...
来源: 评论
Machine-Learning Enabled Multidimensional Data Utilization Through Multi-Resonance Architecture: A Pathway to Enhanced Accuracy in Biosensing
arXiv
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arXiv 2024年
作者: Aalizadeh, Majid Afshar, Morteza Azmoudeh Fan, Xudong Department of Biomedical Engineering University of Michigan Ann ArborMI48109 United States Department of Electrical Engineering and Computer Science University of Michigan Ann ArborMI48109 United States University of Michigan Ann ArborMI48109 United States Max Harry Weil Institute for Critical Care Research and Innovation University of Michigan Ann ArborMI48109 United States Informatics Institute Istanbul Technical University Istanbul34485 Turkey
A novel framework is proposed that combines multi-resonance biosensors with machine learning (ML) to significantly enhance the accuracy of parameter prediction in biosensing. Unlike traditional single-resonance system... 详细信息
来源: 评论
Generative Adversarial Networks for Heterogeneous Unsupervised Domain Adaptation Detection
Generative Adversarial Networks for Heterogeneous Unsupervis...
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IEEE International Conference on Intelligent engineering Systems (INES)
作者: Homayoun Safarpour Motealegh Mahalegi Amirfarhad Farhadi György Molnár Enikő Nagy Institute of Mechatronics and Vehicle Engineering Óbuda University Budapest Hungary Department of Computer Engineering Science and Research Branch Islamic Azad University Tehran Iran Kandó Kálmán Faculty of Electrical Engineering Óbuda University Budapest Hungary János Csere Apáczai Faculty Széchenyi University Győr Hungary Antal Bejczy Center for Intelligent Robotics John von Neumann Faculty of Informatics Óbuda University Budapest Hungary
Domain adaptation, a subset of transfer learning, involves generating examples from two related but differently distributed source and target domains. This paper introduces an incremental adversarial learning method f... 详细信息
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Evaluation of augmentation methods in classifying autism spectrum disorders from fMRI data with 3D convolutional neural networks
arXiv
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arXiv 2021年
作者: Jönemo, Johan Abramian, David Eklund, Anders Division of Medical Informatics Department of Biomedical Engineering Division of Statistics & Machine Learning Department of Computer and Information Science Linköping University Sweden
Classifying subjects as healthy or diseased using neuroimaging data has gained a lot of attention during the last 10 years. Here we apply deep learning to derivatives from resting state fMRI data, and investigate how ... 详细信息
来源: 评论