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A patient outcome prediction based on random forest 19

A patient outcome prediction based on random forest

引用

4th International Conference on Crowd Science and Engineering, ICCSE 2019

作者： Yang, Shan Zheng, Xiangwei Yuan, Feng School of Information Science and Engineering Shandong Normal University Ji'nan China Shandong Provincial Key Laboratory for Distributed Computer Software Novel Technology Ji’nan China

ISBN: (纸本)9781450376402

Since the research and development value of electronic health records (EHRs) which contains a large number of patient treatment data is very high and meaningful, EHRs has gained attention by researchers in recent years. EHRs has some characteristics such as temporality, sparsity, complexity, irregularity, noisiness and so on, which bring many challenges to direct study the medical data. Thus, an effective feature extraction, or phenotyping from patient EHRs is a key step before any further applications. In this paper, MIMIC-III intensive care database is selected for the experiments. To predict the patient’s death outcome (namely death due to illness or still alive), we make full use of the visit records of patients and propose a prediction method that combines the medical concept representation model Med2Vec with random forest algorithm. Experimental results indicate that the proposed method is robust to parameter variations and noise. Besides, compared with other prediction methods, the performance metrics of the proposed method are very well. Finally, the effect of the Med2Vec model is superior to that obtained by raw data (i.e., no feature learning applied to EHRs data). © 2019 Association for Computing Machinery. All rights reserved.

关键词： Forecasting

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GCMNet: Gated Cascade Multi-scale Network for Crowd Counting 18th

GCMNet: Gated Cascade Multi-scale Network for Crowd Counting

引用

18th Pacific Rim International Conference on Artificial Intelligence, PRICAI 2021

作者： Zheng, Jinfang Zhao, Panpan Xie, Jinyang Lyu, Chen Lyu, Lei School of Information Science and Engineering Shandong Normal University Jinan250358 China Shandong Provincial Key Laboratory for Distributed Computer Software Novel Technology Jinan250358 China

ISBN: (纸本)9783030893620

With the rapid development of convolutional neural networks, many CNN-based methods have emerged and made promising progress in the field of crowd counting. However, dealing with extremely scale variation remains a challenging but attractive issue. In this paper, we propose an innovative Gated Cascade Multi-scale Network (GCMNet) to tackle with the issue by taking full advantage of the representation of multi-scale features in a multi-level network. First of all, we implement such an idea by obtaining rich contextual information with a multi-scale contextual information enhancement module. Then, considering the pixel-level image detail information that is lost during the successive feature extraction process, we propose a hopping cascade module to refine this detail information. However, naively refining all the detail information is sub-optimal. Therefore, a gated information selection delivery module is designed to adaptively control the delivery of information between multi-level features. Combined with our proposed module, our method can effectively generate high-quality crowd density maps. The superiority of our method over current methods is demonstrated through extensive experiments on four challenging datasets. © 2021, Springer Nature Switzerland AG.

关键词： Convolutional neural networks

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Dynamic trust-based access control model for web services

Dynamic trust-based access control model for web services

引用

computer Science and Information Engineering, CSIE 2012

作者： Zhang, YongSheng Li, YuanYuan Zheng, ZhiHua Wu, MingFeng School of Information Science and Engineering Shandong Normal University Jinan 250014 China Shandong Provincial Key Laboratory for Novel Distributed Computer Software Technology Jinan 250014 China

ISBN: (纸本)9783642301254

The paper presents a new trust-based access control model. In this model, the service provider registers trust threshold and trust weight on the trust server. Only the service requester's trust value exceeds the threshold, he can get the service provider's trust and their services. Within the trust, direct trust is regularly updated, and both implement trust evaluation through direct interaction of experience and recommendation trust information. Combine the Security Assertion Markup Language (SAML) and Extensible Access Control Markup Language (XACML) together and embed SAML authentication module and XACML access control module into the model. The model is flexible and reliable because it not only takes into account the trust value of service requester, but also implements the authentication mechanism. © 2012 Springer-Verlag GmbH.

关键词： Web services

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Complex networks and its application in education resources network

Complex networks and its application in education resources ...

引用

2012 International Symposium on Information Technologies in Medicine and Education, ITME 2012

作者： Wang, Jinlong Liu, Fang'ai School of Information Science and Engineering Shandong Normal University Ji'Nan China Shandong Provincial Key Laboratory for Distributed Computer Software Novel Technology Ji'Nan China

ISBN: (纸本)9781467321068

Education resources network is a typical complex network. On the basis of introduction to the concepts of complex network, it analyzed the current situation of complex networks and its application in education resources network, especially concentrated on models and evolvement mechanism of network, in the domestic, and so on. At last, it proposed the next research of complex network and its application on Internet. © 2012 IEEE.

关键词： Complex networks

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An improved prefixspan algorithm research for sequential pattern mining

An improved prefixspan algorithm research for sequential pat...

引用

2011 IEEE International Symposium on IT in Medicine and Education, ITME 2011

作者： Liu, Pei-Yu Gong, Wei Jia, Xian School of Information Science and Engineering Shandong Normal University Ji'nan China Shandong Provincial Key Laboratory for Distributed Computer Software Novel Technology Ji'nan China

ISBN: (纸本)9781612847023

PrefixSpan, the classic sequential patterns mining algorithm, has the problem of large expenses in constructing projected databases. A Sequential Patterns Mining based on Improved PrefixSpan (SPMIP) algorithm is proposed on the basic of the defects above. This algorithm can reduce the scale of projected databases and the time of scanning projected databases through adding the pruning step and reducing the scanning of certain specific sequential patterns production. In this way, algorithm efficiency can be raised, and the sequential patterns needed are obtained. The experiment results show that the SPMIP algorithm is more efficient than the PrefixSpan algorithm while the sequential patterns obtained are not affected. © 2011 IEEE.

关键词： Scanning

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Measurement and analysis of plant leaf area based on image processing

Measurement and analysis of plant leaf area based on image p...

引用

2012 International Symposium on Information Technologies in Medicine and Education, ITME 2012

作者： Wang, Jingwen Liu, Hong Department of Information Science and Engineering Shandong Normal University Ji'nan China Shandong Provincial Key Laboratory for Novel Distributed Computer Software Technology Ji'nan China

ISBN: (纸本)9781467321068

To improve the accuracy of plant leaf area, a new measurement method of plant leaf area based on Snake model was adopted in this study. In this paper, we captured leaf counter with improved Snake model, built up 8-direction chain codes table, calculated the leaf area with the pixels in leaf contour, and visualized the statistical results with area histogram. This method was proved to be more accurate than prevalent method in this study as well, which has good potentials for practical applications. © 2012 IEEE.

关键词： Chains

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A hierarchical network (HRRP(k)) and its application

A hierarchical network (HRRP(k)) and its application

引用

2010 IEEE Asia-Pacific Services Computing Conference, APSCC 2010

作者： Liu, Fang-Ai Xing, Chang-Ming Shandong Normal University Shandong Provincial Key Laboratory for Distributed Computer Software Novel Technology Jinan China Shandong University of Finance School of Further Education Jinan China

ISBN: (纸本)9780769543055

This paper is concerned with the problem of how to share distributed resources. Based on a distributed resource sharing application in schools, an HRRP(k) network is proposed and its properties studied. It is proven that the HRRP(k) network has better performance than a 2-D mesh in group communication. Then, to improve the quality of service (QoS) of the education resource sharing network, several key strategies are proposed, including the strategy for a node to join or leave the system, the strategy for searching for resources, and the strategy for setting up connections between nodes. To realize local and global resource retrieval, several algorithms based on the HRRP(k) network are proposed. Finally, the advantages of the HRRP(k) network and the effectiveness of proposed strategies are established by theoretical analysis and comparison. Based on these findings, a prototype of a resource sharing application is proposed, which shows the HRRP(k) network has a better performance than alternative network architectures. © 2010 IEEE.

关键词： Network architecture

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New impossible differential cryptanalysis on improved LBlock

New impossible differential cryptanalysis on improved LBlock

引用

5th International Symposium on IT in Medicine and Education, ITME 2013

作者： Liu, Xuan Liu, Feng Meng, Shuai School of Information Science and Engineering Shandong Normal University Jinan 250014 China Shandong Provincial Key Laboratory for Novel Distributed Computer Software Technology Jinan 250014 China

ISBN: (纸本)9789400776173

LBlock is a 64-bit lightweight block cipher which can be implemented in both hardware environments and software platforms. It was proposed by Wu Wenling and Zhang Lei at ACNS2011. We studied the security of LBlock found that the permutation layer can getting better on security in the internet of things. In order to assure it can achieve enough security, we gave an improvement on permutation layer of LBlock. By analyzing the property of the diffusion transformation, it has shown that a new kind of 11-round impossible differential was presented. To the best of our knowledge, this is the first paper that proposes this way analysis on improved LBlock. © Springer Science+Business Media Dordrecht 2014.

关键词： Cryptography

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Reflections and Countermeasures on the Development of Secondary Vocational Teachers' Teaching Ability Based on AI and Students' Characteristics

Reflections and Countermeasures on the Development of Second...

引用

2020 International Conference on Artificial Intelligence and Education, ICAIE 2020

作者： Liu, Lining Zhang, Yongsheng Zhang, Penglong Sun, Wenqian Shandong Normal University School of Information Science and Engineering Jinan250358 China Shandong Provincial Key Laboratory for Novel Distributed Computer Software Technology Jinan250358 China

ISBN: (纸本)9781728166599

The arrival of the era of artificial intelligence has a great impact on the produce of relationship and mode, resulting in changes in the demand for talents. As an important place to train professional and technical talents, secondary vocational schools need teachers to make changes. Teachers should improve their own educational and teaching ability, and cultivate talents of high-quality, innovative and in line with the needs of social development. By analyzing the development status of artificial intelligence in the field of education and the current students' problems facing teachers (students' characteristics), this paper gives some ideals and suggestions on the development of professional ability of secondary vocational teachers in the era of artificial intelligence. © 2020 IEEE.

关键词： Students

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MPANet: Multi-level Progressive Aggregation Network for Crowd Counting 28th

MPANet: Multi-level Progressive Aggregation Network for Cro...

引用

28th International Conference on Neural Information Processing, ICONIP 2021

作者： Meng, Chen Han, Run Pang, Chen Kang, Chunmeng Lyu, Chen Lyu, Lei School of Information Science and Engineering Shandong Normal University Jinan250358 China Shandong Provincial Key Laboratory for Distributed Computer Software Novel Technology Jinan250358 China

ISBN: (纸本)9783030922375

Crowd counting has important applications in many fileds, but it is still a challenging task due to background occlusion, scale variation and uneven distribution of crowd. This paper proposes the Multi-level Progressive Aggregation Network (MPANet) to enhance the channel and spatial dependencies of feature maps and effectively integrate the multi-level features. Besides, the Aggregation Refinement (AR) module is designed to integrate low-level spatial information and high-level semantic information. The proposed AR module can effectively utilize the complementary properties between multi-level features to generate high-quality density maps. Moreover, the Multi-scale Aware (MA) module is constructed to capture rich contextual information through convolutional kernels of different sizes. Furthermore, the Semantic Attention (SA) module is designed to enhance spatial and channel response on feature maps, which can reduce false recognition of the background region. Extensive experiments on four challenging datasets demonstrate that our approach outperforms most state-of-the-art methods. © 2021, Springer Nature Switzerland AG.

关键词： computer vision

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