Concepedia

Meta-learning For Fusion

Meta-Learning for Fusion is a decision-level fusion methodology that specifically leverages meta-learning to adaptively optimize the combination rules of individual models' predictions based on their performance patterns across diverse tasks or domains.

11

Publications

326

Citations

44

Authors

18

Institutions

Publications per year

2017–2026

9

Parents

Publications

11

Fast meta-models for local fusion of multiple predictive models

Piero P. Bonissone, Feng Xue, Raj Subbu · Applied Soft Computing · 2008 · 61 citations

, , +12

Meta-MSNet: Meta-Learning Based Multi-Source Data Fusion for Traffic Flow Prediction

Shen Fang, Xianbing Pan, Shiming Xiang et al. · IEEE Signal Processing Letters · 2020 · 49 citations

, , +16

MDFM: Multi-Decision Fusing Model for Few-Shot Learning

Shuai Shao, Lei Xing, Rui Xu et al. · IEEE Transactions on Circuits and Systems for Video Technology · 2021 · 41 citations

, , +13

MetaFuse: A Pre-trained Fusion Model for Human Pose Estimation

Rongchang Xie, Chunyu Wang, Yizhou Wang · 2020 · 32 citations

, , +11

Multi-Polarization Fusion Few-Shot HRRP Target Recognition Based on Meta-Learning Framework

Qi Liu, Xinyu Zhang, Yongxiang Liu et al. · IEEE Sensors Journal · 2021 · 30 citations

, , +17

1–5 of 11

Authors

44

  1. PP
    Piero P. Bonissone

    General Electric (United States), United States

    1 publications · 61 citations

    1

    h-index

  2. PC
    Pieter Cawood

    University of Johannesburg, South Africa

    1 publications · 21 citations

    1

    h-index

  3. XP
    Xianbing Pan

    Chongqing University of Posts and Telecommunications, China

    1 publications · 49 citations

    1

    h-index

  4. XS
    Xin Shen

    Kunming University of Science and Technology, China

    1 publications · 16 citations

    1

    h-index

  5. SS
    Shuai Shao

    China University of Petroleum, East China, China

    1 publications · 41 citations

    1

    h-index

1–5 of 44

Institutions

18

  1. University of Johannesburg

    Johannesburg, South Africa

    1 h-index

    2 publications

    42 citations

  2. Nanjing University of Aeronautics and Astronautics

    Nanjing, China

    1 h-index

    4 publications

    64 citations

  3. China University of Petroleum, East China

    Qingdao, China

    1 h-index

    6 publications

    246 citations

  4. Institute of Automation

    Beijing, China

    1 h-index

    3 publications

    147 citations

  5. Beijing Academy of Artificial Intelligence

    Beijing, China

    1 h-index

    2 publications

    98 citations

  6. Mansoura University

    Al Mansurah, Egypt

    1 h-index

    1 publications

    20 citations

  7. Pusan National University

    Busan, South Korea

    1 h-index

    3 publications

    66 citations

  8. Columbia University

    New York, United States

    1 h-index

    2 publications

    36 citations

1–8 of 18

Venues

  1. Applied Soft Computing

    2 publications · 83 citations

    2

    h-index

  2. IEEE Sensors Journal

    1 publications · 30 citations

    1

    h-index

  3. 1

    h-index

  4. Expert Systems with Applications

    1 publications · 16 citations

    1

    h-index

  5. 1

    h-index

1–5