Concepedia

Feature-level Data Integration

Feature-Level Data Integration is a data fusion methodology that integrates features from multiple sources or modalities at the raw feature representation level before any decision-making or classification process, distinguishing it from decision-level or score-level integration approaches.

43

Publications

2.6K

Citations

198

Authors

95

Institutions

Publications per year

2017–2026

31

Variants

Feature-level Fusion

Parents

Publications

43

Analysis of emotion recognition using facial expressions, speech and multimodal information

Carlos Busso, Zhigang Deng, Murtaza Bulut et al. · 2004 · 832 citations

, , +16

Methodologies for Cross-Domain Data Fusion: An Overview

Yu Zheng · IEEE Transactions on Big Data · 2015 · 441 citations

, , +11

NMS by Representative Region: Towards Crowded Pedestrian Detection by Proposal Pairing

Xin Huang, Zheng Ge, Zequn Jie et al. · 2020 · 191 citations

, , +10

Deep learning based feature-level integration of multi-omics data for breast cancer patients survival analysis

Tong Li, Jonathan Mitchel, Kevin Chatlin et al. · BMC Medical Informatics and Decision Making · 2020 · 155 citations · Full text

, , +17

<i>De novo</i> prediction of RNA–protein interactions from sequence information

Ying Wang, Xiaowei Chen, Zhiping Liu et al. · Molecular BioSystems · 2012 · 103 citations

, , +13

1–5 of 43

Authors

198

  1. KP
    Kevin Page

    University of Oxford, United Kingdom

    2 publications · 39 citations

    2

    h-index

  2. SB
    Sean Bechhofer

    University of Manchester, United Kingdom

    2 publications · 39 citations

    2

    h-index

  3. DM
    David M. Weigl

    University of Oxford, United Kingdom

    2 publications · 39 citations

    2

    h-index

  4. ZJ
    Zequn Jie

    Tencent (China), China

    2 publications · 222 citations

    2

    h-index

  5. XH
    Xin Huang

    Technical University of Denmark, Denmark

    2 publications · 222 citations

    2

    h-index

1–5 of 198

Institutions

95

  1. University of Oxford

    Oxford, United Kingdom

    3 h-index

    3 publications

    50 citations

  2. Chinese Academy of Sciences

    Beijing, China

    3 h-index

    3 publications

    132 citations

  3. University of Manchester

    Manchester, United Kingdom

    2 h-index

    2 publications

    39 citations

  4. Queen Mary University of London

    London, United Kingdom

    2 h-index

    2 publications

    39 citations

  5. Xi'an Jiaotong University

    Xi'an, China

    2 h-index

    2 publications

    20 citations

  6. Waseda University

    Tokyo, Japan

    2 h-index

    2 publications

    222 citations

  7. Tencent (China)

    Shenzhen, China

    2 h-index

    2 publications

    222 citations

  8. United States Air Force Research Laboratory

    Wright-Patterson AFB, United States

    2 h-index

    2 publications

    29 citations

1–8 of 95

Venues

  1. Knowledge-Based Systems

    2 publications · 83 citations

    2

    h-index

  2. 2

    h-index

  3. PLoS Computational Biology

    1 publications · 18 citations

    1

    h-index

  4. Machines

    1 publications · 10 citations

    1

    h-index

  5. Computers & Chemical Engineering

    1 publications · 40 citations

    1

    h-index

1–5