Concepedia

Evaluation Metrics

Evaluation Metrics is a formal construct in computational research that belongs to the category of methodological tools, specifically designed to quantify and assess the effectiveness, accuracy, and robustness of retrieval systems, pattern recognition processes, or session-based recommendation models in continual learning environments.

3.6K

Publications

279.3K

Citations

12.8K

Authors

2.9K

Institutions

Publications per year

2017–2026

2.4K

Parents

Publications

3.6K

Empirical Analysis of Predictive Algorithms for Collaborative Filtering

John S. Breese, David Heckerman, Carl Kadie · arXiv (Cornell University) · 2013 · 4.5K citations · Full text

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ADASYN: Adaptive synthetic sampling approach for imbalanced learning

Haibo He, Yang Bai, Edwardo A. Garcia et al. · 2008 · 4.4K citations

, , +16

Detecting faces in images: a survey

David Kriegman, Narendra Ahuja · IEEE Transactions on Pattern Analysis and Machine Intelligence · 2002 · 3.4K citations

, , +8

Metrics for evaluating 3D medical image segmentation: analysis, selection, and tool

Abdel Aziz Taha, Allan Hanbury · BMC Medical Imaging · 2015 · 2.8K citations · Full text

, , +17

Deep Learning for Generic Object Detection: A Survey

Li Liu, Wanli Ouyang, Xiaogang Wang et al. · International Journal of Computer Vision · 2019 · 2.8K citations · Full text

, , +12

1–5 of 3.6K

Authors

12.8K

  1. AW
    Andy Way

    Dublin City University, Ireland

    16 publications · 503 citations

    14

    h-index

  2. SM
    Shaoping Ma

    Tsinghua University, China

    14 publications · 458 citations

    13

    h-index

  3. YL
    Yiqun Liu

    Tsinghua University, China

    12 publications · 371 citations

    12

    h-index

  4. TS
    Tetsuya Sakai

    Waseda University, Japan

    12 publications · 524 citations

    11

    h-index

  5. SE
    Steffen Eger

    Technische Universität Darmstadt, Germany

    10 publications · 259 citations

    10

    h-index

1–5 of 12.8K

Institutions

2.9K

  1. Carnegie Mellon University

    Pittsburgh, United States

    33 h-index

    119 publications

    9.7K citations

  2. Chinese Academy of Sciences

    Beijing, China

    30 h-index

    149 publications

    24.7K citations

  3. Tsinghua University

    Beijing, China

    30 h-index

    163 publications

    12.8K citations

  4. Microsoft (United States)

    Redmond, United States

    28 h-index

    88 publications

    25.7K citations

  5. Stanford University

    Stanford, United States

    25 h-index

    86 publications

    13.9K citations

  6. Google (United States)

    Mountain View, United States

    24 h-index

    142 publications

    31.3K citations

  7. Massachusetts Institute of Technology

    Cambridge, United States

    22 h-index

    57 publications

    5.2K citations

  8. University of Chinese Academy of Sciences

    Beijing, China

    21 h-index

    69 publications

    4.9K citations

1–8 of 2.9K

Venues

  1. arXiv (Cornell University)

    Repository · 312 publications · 23K citations

    62

    h-index

  2. IEEE Access

    103 publications · 8K citations

    47

    h-index

  3. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 35 publications · 3.1K citations

    26

    h-index

  4. Sensors

    34 publications · 1.6K citations

    25

    h-index

  5. Applied Sciences

    36 publications · 1.9K citations

    23

    h-index

1–5