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检索条件"机构=Knowledge and Data Engineering"
2104 条 记 录,以下是141-150 订阅
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Study on family relations reasoning based on automated reasoning
Study on family relations reasoning based on automated reaso...
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International Conference on Computational Intelligence and Software engineering
作者: Ge, Qiang Zheng, Fengbin Institute of Data and Knowledge Engineering Henan University KaiFeng 475001 China
Automated reasoning has become the research hotspot among researchers, and family relations are common logic knowledge, which can be reasoned. This paper presents four basic relations on family relations, which can de... 详细信息
来源: 评论
A novel concept-based search for the web of data using umbel and a fuzzy retrieval model
A novel concept-based search for the web of data using umbel...
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9th Extended Semantic Web Conference, ESWC 2012
作者: Sah, Melike Wade, Vincent Knowledge and Data Engineering Group Trinity College Dublin Dublin Ireland
As the size of Linked Open data (LOD) increases, the search and access to the relevant LOD resources becomes more challenging. To overcome search difficulties, we propose a novel concept-based search mechanism for the... 详细信息
来源: 评论
Factors promoting and hindering informatization of nursing institutions for the aged: A toe theoretic perspective  18
Factors promoting and hindering informatization of nursing i...
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18th Pacific Asia Conference on Information Systems, PACIS 2014
作者: He, Yingzhao Zuo, Meiyun Chen, Jie Key Laboratory of Data Engineering and Knowledge Engineering School of Business Renmin University of China Beijing China Key Laboratory of Data Engineering and Knowledge Engineering School of Information Renmin University of China Beijing China
This paper uses the theoretic framework of TOE(technology-organization-environment), identifies the factors promoting and hindering informatization of nursing institutions for the aged. This case study of six nursing ... 详细信息
来源: 评论
Iterative model-based transfer in deep reinforcement learning  31
Iterative model-based transfer in deep reinforcement learnin...
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31st Benelux Conference on Artificial Intelligence and the 28th Belgian Dutch Conference on Machine Learning, BNAIC/BENELEARN 2019
作者: Neeven, Jelmer L.A. Driessens, Kurt Maastricht University Department of Data Science and Knowledge Engineering Maastricht Netherlands
来源: 评论
Visual summarization of the social image collection using image attractiveness learned from social behaviors
Visual summarization of the social image collection using im...
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2012 13th IEEE International Conference on Multimedia and Expo, ICME 2012
作者: Jeong, Jin-Woo Hong, Hyun-Ki Heu, Jee-Uk Qasim, Iqbal Lee, Dong-Ho Knowledge and Data Engineering Lab. Hanyang University Korea Republic of
How to effectively summarize a large-scale image collection is still an important and open problem. In this paper, we propose a novel method to effectively generate a summary of the social image collection using image... 详细信息
来源: 评论
‘Thy Algorithm Shalt Not Bear False Witness’: An Evaluation of Multiclass Debiasing Methods on Word Embeddings  1
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32nd Benelux Conference on Artificial Intelligence and Belgian-Dutch Conference on Machine Learning, BNAIC/Benelearn 2020
作者: Schlender, Thalea Spanakis, Gerasimos Department of Data Science and Knowledge Engineering Maastricht University Maastricht Netherlands
With the vast development and employment of artificial intelligence applications, research into the fairness of these algorithms has been increased. Specifically, in the natural language processing domain, it has been... 详细信息
来源: 评论
knowledge sharing of senior employees in the context of task-based cooperation: A game theoretic analysis  18
Knowledge sharing of senior employees in the context of task...
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18th Pacific Asia Conference on Information Systems, PACIS 2014
作者: Wang, Changyu Zuo, Meiyun Quan, Xuefei Key Laboratory of Data Engineering and Knowledge Engineering School of Business Renmin University of China Beijing China Key Laboratory of Data Engineering and Knowledge Engineering School of Information Renmin University of China Beijing China
The aging of population has become a global trend and the critical knowledge of enterprises may be lost with the retirement of senior employees. Task-based cooperation is an important method to prevent the loss of kno... 详细信息
来源: 评论
LoGANv2: Conditional style-based logo generation with generative adversarial networks  18
LoGANv2: Conditional style-based logo generation with genera...
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18th IEEE International Conference on Machine Learning and Applications, ICMLA 2019
作者: Oeldorf, Cedric Spanakis, Gerasimos Department of Data Science and Knowledge Engineering Maastricht University Maastricht Netherlands
Domains such as logo synthesis, in which the data has a high degree of multi-modality, still pose a challenge for generative adversarial networks (GANs). Recent research shows that progressive training (ProGAN) and ma... 详细信息
来源: 评论
Densely Annotated Photorealistic Virtual dataset Generation for Abnormal Event Detection  25th
Densely Annotated Photorealistic Virtual Dataset Generation ...
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25th International Conference on Pattern Recognition Workshops, ICPR 2020
作者: Montulet, Rico Briassouli, Alexia Department of Data Science and Knowledge Engineering Maastricht University Maastricht Netherlands
Many timely computer vision problems, such as crowd event detection, individual or crowd activity recognition, person detection and re-identification, tracking, pose estimation, segmentation, require pixel-level annot... 详细信息
来源: 评论
Social emotion mining techniques for facebook posts reaction prediction  10
Social emotion mining techniques for facebook posts reaction...
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10th International Conference on Agents and Artificial Intelligence, ICAART 2018
作者: Krebs, Florian Lubascher, Bruno Moers, Tobias Schaap, Pieter Spanakis, Gerasimos Department of Data Science and Knowledge Engineering Maastricht University Maastricht Netherlands
As of February 2016 Facebook allows users to express their experienced emotions about a post by using five so-called ‘reactions’. This research paper proposes and evaluates alternative methods for predicting these r... 详细信息
来源: 评论