Concepedia

Automl

AutoML is a methodological framework within scalable machine learning that automates the design and optimization of machine learning pipelines, including model selection, hyperparameter tuning, and feature engineering, thereby distinguishing it from manual or partially automated approaches to model development.

326

Publications

18.8K

Citations

1.3K

Authors

485

Institutions

Publications per year

2017–2026

324

Parents

Publications

326

AutoML: A survey of the state-of-the-art

Xin He, Kaiyong Zhao, Xiaowen Chu · Knowledge-Based Systems · 2020 · 1.7K citations · Full text

, , +6

Efficient and robust automated machine learning

Matthias Feurer, Aaron Klein, Katharina Eggensperger et al. · Neural Information Processing Systems · 2015 · 1.3K citations

, , +15

MedMNIST v2 - A large-scale lightweight benchmark for 2D and 3D biomedical image classification

Jiancheng Yang, Rui Shi, Donglai Wei et al. · Scientific Data · 2023 · 863 citations · Full text

, , +16

Auto-Keras: An Efficient Neural Architecture Search System

Haifeng Jin, Qingquan Song, Xia Hu · 2019 · 855 citations · Full text

, , +17

Scaling tree-based automated machine learning to biomedical big data with a feature set selector

Trang T. Le, Weixuan Fu, Jason H. Moore · Bioinformatics · 2019 · 468 citations · Full text

, , +17

1–5 of 326

Authors

1.3K

  1. DW
    Dakuo Wang

    Northeastern University, United States

    8 publications · 379 citations

    8

    h-index

  2. JV
    Joaquin Vanschoren

    Eindhoven University of Technology, Netherlands

    7 publications · 292 citations

    7

    h-index

  3. MW
    Marcel Wever

    Paderborn University, Germany

    7 publications · 237 citations

    7

    h-index

  4. FM
    Felix Mohr

    Universidad de La Sabana, Colombia

    6 publications · 221 citations

    6

    h-index

  5. QY
    Quanming Yao

    Hong Kong University of Science and Technology, Hong Kong SAR China

    6 publications · 648 citations

    6

    h-index

1–5 of 1.3K

Institutions

485

  1. Massachusetts Institute of Technology

    Cambridge, United States

    10 h-index

    32 publications

    2K citations

  2. University of Tartu

    Tartu, Estonia

    7 h-index

    18 publications

    948 citations

  3. University College London

    London, United Kingdom

    6 h-index

    21 publications

    2.9K citations

  4. Tsinghua University

    Beijing, China

    6 h-index

    14 publications

    259 citations

  5. Eindhoven University of Technology

    Eindhoven, The Netherlands

    6 h-index

    13 publications

    654 citations

  6. Paderborn University

    Paderborn, Germany

    6 h-index

    16 publications

    642 citations

  7. Ludwig-Maximilians-Universität München

    Munich, Germany

    5 h-index

    9 publications

    504 citations

  8. Microsoft Research (United Kingdom)

    Cambridge, United Kingdom

    5 h-index

    8 publications

    281 citations

1–8 of 485

Venues

  1. arXiv (Cornell University)

    Repository · 41 publications · 2.1K citations

    20

    h-index

  2. Scientific Reports

    8 publications · 377 citations

    8

    h-index

  3. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 7 publications · 181 citations

    7

    h-index

  4. 6

    h-index

  5. Proceedings of the VLDB Endowment

    PVLDB · 6 publications · 154 citations

    6

    h-index

1–5