Prediction Error Maps

Prediction Error Maps is a visualization technique that represents the spatial or structural distribution of discrepancies between predicted and actual values in a model's output, enabling the identification of systematic errors and uncertainty patterns across the domain of interest.

115

Publications

8.2K

Citations

498

Authors

272

Institutions

Publications per year

2017–2026

59

Authors

498

  1. PR
    Philip R. Corlett

    Yale University, United States

    5 publications · 765 citations

    5

    h-index

  2. PC
    Paul C. Fletcher

    University of Cambridge, United Kingdom

    4 publications · 718 citations

    4

    h-index

  3. XL
    Xiaolong Li

    Peking University, China

    3 publications · 656 citations

    3

    h-index

  4. WH
    Wenguang He

    Guangdong Medical College, China

    2 publications · 152 citations

    2

    h-index

  5. LY
    Lin Yang

    University of Florida, United States

    2 publications · 107 citations

    2

    h-index

1–5 of 498

Venues

  1. NeuroImage

    9 publications · 522 citations

    9

    h-index

  2. Journal of Neuroscience

    5 publications · 533 citations

    5

    h-index

  3. Journal of Cataract & Refractive Surgery

    6 publications · 167 citations

    5

    h-index

  4. Neuron

    3 publications · 502 citations

    3

    h-index

  5. Signal Processing

    3 publications · 776 citations

    3

    h-index

1–5