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Jianfei Wang and Wen Cao
In the era of big data, a significant volume of spatiotemporal data exists in a multiscale format, describing diverse phenomena in the objective world across different spatial and temporal scales. While existing methods focus on analyzing the features an...
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Huiyan Wu and Jun Huang
The main purpose of the joint entity and relation extraction is to extract entities from unstructured texts and extract the relation between labeled entities at the same time. At present, most existing joint entity and relation extraction networks ignore...
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Rami Malkawi, Mohammad Daradkeh, Ammar El-Hassan and Pavel Petrov
Automated citation analysis is becoming increasingly important in assessing the scientific quality of publications and identifying patterns of collaboration among researchers. However, little attention has been paid to analyzing the scientific content of...
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In recent years, expanding globalization of financial transactions, investment opportunities and risks, banking and trading, and commerce has resulted in a call for commonly understood financial reporting standards and a universal means of communication ...
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Laura Catalina Timiras
IT market in Romania registered a positive trend, estimations regarding the evolution for the next period indicating the same trend. This development was implicit in conjunction with the growing interest of population and organizations for getting the ec...
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Ali M. Ahmed Al Sabaawi,Hacer Karacan,Yusuf Erkan Yenice
Pág. pp. 70 - 87
Recently, Recommender Systems (RSs) have attracted many researchers whose goal is to improve the performance of the prediction accuracy of recommendation systems by alleviating RSs drawbacks. The most common limitations are sparsity and the cold-start pr...
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Ninghua Sun, Tao Chen, Wenshan Guo and Longya Ran
The problems with the information overload of e-government websites have been a big obstacle for users to make decisions. One promising approach to solve this problem is to deploy an intelligent recommendation system on e-government platforms. Collaborat...
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Wenqing Wu, Zhenfang Zhu, Qiang Lu, Dianyuan Zhang and Qiangqiang Guo
Knowledge base question answering (KBQA) aims to analyze the semantics of natural language questions and return accurate answers from the knowledge base (KB). More and more studies have applied knowledge bases to question answering systems, and when usin...
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Jian-Zhang Wu, Li Huang, Rui-Jie Xi and Yi-Ping Zhou
The purpose of this paper is to enrich the decision preference information inconsistency check and adjustment method in the context of capacity-based multiple criteria decision making. We first show that almost all the preference information of a decisio...
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Fengmei Liang, Yajun Xu, Weixin Li, Xiaoling Ning, Xueou Liu and Ajian Liu
To overcome the limitation of artificial judgment of meibomian gland morphology, we proposed a solution based on an improved fuzzy c-means (FCM) algorithm and rough sets theory. The rough sets reduced the redundant attributes while ensuring classificatio...
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Sahbi Sidhom,Philippe Lambert
The topics of this research cover all phases of ?Information Design? applied to detect and profit from weak signals in economic intelligence (EI) or business intelligence (BI). The field of the information design (ID) applies to the process of translatin...
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Dennis Hart
It has long been an aim of information management and information systems development to enable more effective and efficient data and information sharing within organisations. A commonplace assertion has been that data and information belong, or should b...
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Jian Fu, Cong Li, Xiang Teng, Fan Luo and Boqun Li
Discovering the implicit pattern and using it as heuristic information to guide the policy search is one of the core factors to speed up the procedure of robot motor skill acquisition. This paper proposes a compound heuristic information guided reinforce...
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Jiayao Liang and Mengxiao Yin
With the rapid advancement of deep learning, 3D human pose estimation has largely freed itself from reliance on manually annotated methods. The effective utilization of joint features has become significant. Utilizing 2D human joint information to predic...
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Hyeon Jo, Jong-hyun Hong and Joon Yeon Choeh
In recent years, virtual online communities have experienced rapid growth. These communities enable individuals to share and manage images or websites by employing tags. A collaborative tagging system (CTS) facilitates the process by which internet users...
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Jing Chen, Gang Zhou, Jicang Lu, Shiyu Wang and Shunhang Li
Fake news detection has become a significant topic based on the fast-spreading and detrimental effects of such news. Many methods based on deep neural networks learn clues from claim content and message propagation structure or temporal information, whic...
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Holger Boche, Yannik N. Böck, Ullrich J. Mönich and Frank H. P. Fitzek
This article compares two methods of algorithmically processing bandlimited time-continuous signals in light of the general problem of finding ?suitable? representations of analog information on digital hardware. Albeit abstract, we argue that this probl...
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Jianfei Li, Yongbin Wang and Zhulin Tao
In recent years, graph neural networks (GNNS) have been demonstrated to be a powerful way to learn graph data. The existing recommender systems based on the implicit factor models mainly use the interactive information between users and items for trainin...
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Jiagang Song, Jiayu Song, Xinpan Yuan, Xiao He and Xinghui Zhu
With the rapid development of Internet technology, how to mine and analyze massive amounts of network information to provide users with accurate and fast recommendation information has become a hot and difficult topic of joint research in industry and ac...
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Can Cui, Jiwei Qin and Qiulin Ren
Representation learning-based collaborative filtering (CF) methods address the linear relationship of user-items with dot products and cannot study the latent nonlinear relationship applied to implicit feedback. Matching function learning-based CF method...
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