Concepedia

Active Learning For Phenotyping

Active Learning for Phenotyping is a machine learning approach that iteratively selects the most informative unlabeled instances for expert annotation to improve phenotype classification models with minimal labeling effort.

11

Publications

470

Citations

47

Authors

23

Institutions

Publications per year

2017–2026

5

Parents

Publications

11

Applying active learning to high-throughput phenotyping algorithms for electronic health records data

Yukun Chen, Robert J. Carroll, Eugenia McPeek Hinz et al. · Journal of the American Medical Informatics Association · 2013 · 123 citations · Full text

, , +17

Interactive phenotyping of large-scale histology imaging data with HistomicsML

Michael Nalisnik, Mohamed Amgad, Sanghoon Lee et al. · Scientific Reports · 2017 · 66 citations · Full text

, , +17

Active learning framework with iterative clustering for bioimage classification

Natsumaro Kutsuna, Takumi Higaki, Sachihiro Matsunaga et al. · Nature Communications · 2012 · 60 citations · Full text

, , +17

Active machine learning-driven experimentation to determine compound effects on protein patterns

Armaghan W. Naik, Joshua Kangas, Devin P. Sullivan et al. · eLife · 2016 · 57 citations · Full text

, , +11

Active Learning Applied to Patient-Adaptive Heartbeat Classification

Jenna Wiens, John V. Guttag · 2010 · 44 citations

, , +17

1–5 of 11

Authors

47

  1. JW
    Jenna Wiens

    University of Michigan, United States

    2 publications · 56 citations

    2

    h-index

  2. MN
    Michael Nalisnik

    Emory University, United States

    2 publications · 78 citations

    2

    h-index

  3. DA
    David A. Gutman

    Emory University, United States

    2 publications · 78 citations

    2

    h-index

  4. DJ
    Daniel J. Brat

    Emory University, United States

    2 publications · 78 citations

    2

    h-index

  5. SH
    Sameer H. Halani

    Emory University, United States

    2 publications · 78 citations

    2

    h-index

1–5 of 47

Institutions

23

  1. Georgia Institute of Technology

    Atlanta, United States

    2 h-index

    2 publications

    78 citations

  2. The University of Tokyo

    Tokyo, Japan

    2 h-index

    6 publications

    286 citations

  3. Emory University

    Atlanta, United States

    2 h-index

    16 publications

    624 citations

  4. ETH Zurich

    Zurich, Switzerland

    1 h-index

    1 publications

    35 citations

  5. University of Freiburg

    Freiburg im Breisgau, Germany

    1 h-index

    1 publications

    23 citations

  6. Cancer Institute (WIA)

    Chennai, India

    1 h-index

    2 publications

    24 citations

  7. McGill University

    Montreal, Canada

    1 h-index

    1 publications

    21 citations

  8. Jilin University

    Changchun, China

    1 h-index

    4 publications

    84 citations

1–8 of 23

Venues

  1. Measurement

    1 publications · 21 citations

    1

    h-index

  2. SLAS DISCOVERY

    1 publications · 35 citations

    1

    h-index

  3. DSpace@MIT (Massachusetts Institute of Technology)

    Repository · 1 publications · 12 citations

    1

    h-index

  4. Nature Communications

    1 publications · 60 citations

    1

    h-index

  5. Plant Phenomics

    1 publications · 23 citations

    1

    h-index

1–5