Concepedia

Supervised Defect Classification

Supervised Defect Classification is a machine learning approach within defect classification that utilizes labeled training data to learn a mapping from input instances to predefined defect categories, distinguishing it from unsupervised or semi-supervised methods by its reliance on fully annotated datasets for model training.

55

Publications

5.3K

Citations

195

Authors

89

Institutions

Publications per year

2017–2026

38

Parents

Publications

55

Evaluating defect prediction approaches: a benchmark and an extensive comparison

Marco D’Ambros, Michele Lanza, Romain Robbes · Empirical Software Engineering · 2011 · 616 citations

, , +14

PCA-Based Feature Selection Scheme for Machine Defect Classification

A. Malhi, Robert X. Gao · IEEE Transactions on Instrumentation and Measurement · 2004 · 573 citations

, , +17

Data Quality: Some Comments on the NASA Software Defect Datasets

Martin Shepperd, Zhongbin Sun, Carolyn Mair · IEEE Transactions on Software Engineering · 2013 · 562 citations

, , +13

Application of supervised machine learning for defect detection during metallic powder bed fusion additive manufacturing using high resolution imaging.

Christian Gobert, Edward W. Reutzel, Jan Petrich et al. · Additive manufacturing · 2018 · 438 citations

, , +17

Steel defect classification with Max-Pooling Convolutional Neural Networks

Jonathan Masci, Ueli Meier, Dan Cireşan et al. · 2012 · 327 citations · Full text

, , +17

1–5 of 55

Authors

195

  1. AT
    Ayşe Tosun

    Boğaziçi University, Türkiye

    2 publications · 184 citations

    2

    h-index

  2. BT
    Burak Turhan

    University of Oulu, Finland

    2 publications · 184 citations

    2

    h-index

  3. FM
    Faseeha Matloob

    Virtual University of Pakistan, Pakistan

    2 publications · 35 citations

    2

    h-index

  4. AB
    Ayşe Bener

    Boğaziçi University, Türkiye

    2 publications · 184 citations

    2

    h-index

  5. XZ
    Xinmin Zhang

    State Key Laboratory of Industrial Control Technology

    1 publications · 21 citations

    1

    h-index

1–5 of 195

Institutions

89

  1. University of Coimbra

    Coimbra, Portugal

    2 h-index

    6 publications

    245 citations

  2. Toronto Metropolitan University

    Toronto, Canada

    2 h-index

    2 publications

    184 citations

  3. University of Oulu

    Oulu, Finland

    2 h-index

    3 publications

    301 citations

  4. Brunel University of London

    London, United Kingdom

    2 h-index

    2 publications

    573 citations

  5. Xi'an Jiaotong University

    Xi'an, China

    2 h-index

    3 publications

    1.2K citations

  6. Delhi Technological University

    New Delhi, India

    1 h-index

    1 publications

    71 citations

  7. STMicroelectronics (Italy)

    Milan, Italy

    1 h-index

    5 publications

    100 citations

  8. China University of Petroleum, East China

    Qingdao, China

    1 h-index

    5 publications

    100 citations

1–8 of 89

Venues

  1. Empirical Software Engineering

    4 publications · 982 citations

    4

    h-index

  2. Journal of Intelligent Manufacturing

    3 publications · 152 citations

    3

    h-index

  3. Neurocomputing

    2 publications · 59 citations

    2

    h-index

  4. Information and Software Technology

    2 publications · 172 citations

    2

    h-index

  5. International Journal of Metalcasting

    2 publications · 74 citations

    2

    h-index

1–5