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  • Conference proceedings
  • © 2022

Knowledge Science, Engineering and Management

15th International Conference, KSEM 2022, Singapore, August 6–8, 2022, Proceedings, Part III

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 13370)

Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)

Conference series link(s): KSEM: International Conference on Knowledge Science, Engineering and Management

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Conference proceedings info: KSEM 2022.

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  • ISBN: 978-3-031-10989-8
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Table of contents (58 papers)

  1. Front Matter

    Pages i-xvi
  2. Knowledge Management with Optimization and Security (KMOS)

    1. Front Matter

      Pages 1-1
    2. Study on Chinese Named Entity Recognition Based on Dynamic Fusion and Adversarial Training

      • Fei Fan, Linnan Yang, Xingyu Wu, Shengken Lin, Huijie Dong, Changshan Yin
      Pages 3-14
    3. Spatial Semantic Learning for Travel Time Estimation

      • Yi Xu, Leilei Sun, Bowen Du, Liangzhe Han
      Pages 15-26
    4. A Fine-Grained Approach for Vulnerabilities Discovery Using Augmented Vulnerability Signatures

      • Xiaoxiao Zhou, Weina Niu, Xiaosong Zhang, Ruidong Chen, Yan Wang
      Pages 27-38
    5. PPBR-FL: A Privacy-Preserving and Byzantine-Robust Federated Learning System

      • Ying Lin, Shengfu Ning, Jianpeng Hu, Jiansong Liu, Yifan Cao, Junyuan Zhang et al.
      Pages 39-50
    6. GAN-Based Fusion Adversarial Training

      • Yifan Cao, Ying Lin, Shengfu Ning, Huan Pi, Junyuan Zhang, Jianpeng Hu
      Pages 51-64
    7. Fuzzy Information Measures Feature Selection Using Descriptive Statistics Data

      • Omar A. M. Salem, Haowen Liu, Feng Liu, Yi-Ping Phoebe Chen, Xi Chen
      Pages 77-90
    8. Prompt-Based Self-training Framework for Few-Shot Named Entity Recognition

      • Ganghong Huang, Jiang Zhong, Chen Wang, Qizhu Dai, Rongzhen Li
      Pages 91-103
    9. Learning Advisor-Advisee Relationship from Multiplex Network Structure

      • Xiangchong Cui, Ting Bai, Bin Wu, Xinkai Meng
      Pages 104-115
    10. CorefDRE: Coref-Aware Document-Level Relation Extraction

      • Zhongxuan Xue, Jiang Zhong, Qizhu Dai, Rongzhen Li
      Pages 116-128
    11. A Multi-objective Evolutionary Algorithm Based on Multi-layer Network Reduction for Community Detection

      • Xin Qi, Langzhou He, Jiaxin Wang, Zhanwei Du, Zheng Luo, Xianghua Li
      Pages 141-152
    12. A Privacy-Preserving Subgraph-Level Federated Graph Neural Network via Differential Privacy

      • Yeqing Qiu, Chenyu Huang, Jianzong Wang, Zhangcheng Huang, Jing Xiao
      Pages 165-177
    13. \(\varepsilon -\) MC Nets: A Compact Representation Scheme for Large Cooperative Game Settings

      • Errikos Streviniotis, Athina Georgara, Georgios Chalkiadakis
      Pages 178-190
    14. MEOD: A Robust Multi-stage Ensemble Model Based on Rank Aggregation and Stacking for Outlier Detection

      • Zhengchao Jiang, Fan Zhang, Hao Xu, Li Tao, Zili Zhang
      Pages 205-218

Other Volumes

  1. Knowledge Science, Engineering and Management

    15th International Conference, KSEM 2022, Singapore, August 6–8, 2022, Proceedings, Part I
  2. Knowledge Science, Engineering and Management

    15th International Conference, KSEM 2022, Singapore, August 6–8, 2022, Proceedings, Part II
  3. Knowledge Science, Engineering and Management

    15th International Conference, KSEM 2022, Singapore, August 6–8, 2022, Proceedings, Part III

About this book

The three-volume sets constitute the refereed proceedings of the 15th International Conference on Knowledge Science, Engineering and Management, KSEM 2022, held in Singapore, during August 6–8, 2022. 

The 169 full papers presented in these proceedings were carefully reviewed and selected from 498 submissions. The papers are organized in the following topical sections:

Volume I:
Knowledge Science with Learning and AI (KSLA)

Volume II:
Knowledge Engineering Research and Applications (KERA)

Volume III:
Knowledge Management with Optimization and Security (KMOS)

Keywords

  • artificial intelligence
  • computer hardware
  • computer networks
  • computer security
  • computer systems
  • computer vision
  • data mining
  • data security
  • image analysis
  • image processing
  • information retrieval
  • machine learning
  • mathematics
  • network protocols
  • neural networks
  • signal processing

Editors and Affiliations

  • Télécom Paris, Paris, France

    Gerard Memmi

  • Purdue University, West Lafayette, USA

    Baijian Yang

  • Shanghai Jiao Tong University, Shanghai, China

    Linghe Kong

  • Nanyang Technological University, Singapore, Singapore

    Tianwei Zhang

  • Texas A&M University – Commerce, Commerce, USA

    Meikang Qiu

Bibliographic Information

Buying options

eBook USD 89.00
Price excludes VAT (USA)
  • ISBN: 978-3-031-10989-8
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
Softcover Book USD 119.99
Price excludes VAT (USA)