1. An improved density-based adaptive p-spectral clustering algorithm

   • Yanru Wang
   • Shifei Ding
   • Ling Ding

   Original Article 21 November 2020 Pages: 1571 - 1582

   

2. Attention-based context aggregation network for monocular depth estimation

   • Yuru Chen
   • Haitao Zhao
   • Jingchao Peng

   Original Article 03 January 2021 Pages: 1583 - 1596

   

3. \(L_{p}\)-norm probabilistic K-means clustering via nonlinear programming

   • Bowen Liu
   • Yujian Li
   • Zhaoying Liu

   Original Article 14 January 2021 Pages: 1597 - 1607

   

4. Consensus model based on probability K-means clustering algorithm for large scale group decision making

   • Qian Liu
   • Hangyao Wu
   • Zeshui Xu

   Original Article 14 January 2021 Pages: 1609 - 1626

   

5. Caps-OWKG: a capsule network model for open-world knowledge graph

   • Yuhan Wang
   • Weidong Xiao
   • Xiang Zhao

   Original Article Open access 04 January 2021 Pages: 1627 - 1637

   

6. Hierarchical multi-attention networks for document classification

   • Yingren Huang
   • Jiaojiao Chen
   • Xiaohui Hu

   Original Article 14 January 2021 Pages: 1639 - 1647

   

7. A scalable network intrusion detection system towards detecting, discovering, and learning unknown attacks

   • Zhao Zhang
   • Yong Zhang
   • Mei Song

   Original Article 24 January 2021 Pages: 1649 - 1665

   

8. Joint learning of author and citation contexts for computing drift in scholarly documents

   • J. Vijayarani
   • T. V. Geetha

   Original Article 14 January 2021 Pages: 1667 - 1686

   

9. Deep reinforcement learning based home energy management system with devices operational dependencies

   • Caomingzhe Si
   • Yuechuan Tao
   • Junhua Zhao

   Original Article 24 January 2021 Pages: 1687 - 1703

   

10. Feature distribution-based label correlation in multi-label classification

    • Xiaoya Che
    • Degang Chen
    • Jusheng Mi

    Original Article 24 January 2021 Pages: 1705 - 1719

    

11. Problems selection under dynamic selection of the best base classifier in one versus one: PSEUDOVO

    • Izaro Goienetxea
    • Iñigo Mendialdua
    • Basilio Sierra

    Original Article 24 January 2021 Pages: 1721 - 1735

    

12. Development of ensemble learning classification with density peak decomposition-based evolutionary multi-objective optimization

    • SeyedEhsan Roshan
    • Shahrokh Asadi

    Original Article 07 April 2021 Pages: 1737 - 1751

    

13. Sample-based online learning for bi-regular hinge loss

    • Wei Xue
    • Ping Zhong
    • Yebin Chen

    Original Article 24 January 2021 Pages: 1753 - 1768

    

14. Uncertainty measurement for a fuzzy set-valued information system

    • Zhaowen Li
    • Zhihong Wang
    • Ching-Feng Wen

    Original Article 06 February 2021 Pages: 1769 - 1787

    

15. Fault detection of railway freight cars mechanical components based on multi-feature fusion convolutional neural network

    • Tao Ye
    • Zhihao Zhang
    • Fuqiang Zhou

    Original Article 08 February 2021 Pages: 1789 - 1801

    

16. Adaptive robust local online density estimation for streaming data

    • Zhong Chen
    • Zhide Fang
    • Kun Zhang

    Original Article 03 February 2021 Pages: 1803 - 1824

    

17. Improving crowd labeling using Stackelberg models

    • Wenjun Yang
    • Chaoqun Li

    Original Article 26 January 2021 Pages: 1825 - 1838

    

18. Numerical solution for high-dimensional partial differential equations based on deep learning with residual learning and data-driven learning

    • Zheng Wang
    • Futian Weng
    • Juan Wang

    Original Article 30 January 2021 Pages: 1839 - 1851

    

19. A study on the uncertainty of convolutional layers in deep neural networks

    • Haojing Shen
    • Sihong Chen
    • Ran Wang

    Original Article 13 February 2021 Pages: 1853 - 1865