Explainable Automation

Explainable Automation is an automated system that, as a genus of intelligent decision-making technology, incorporates inherent mechanisms to transparently articulate the rationale, logic, and data-driven justifications underlying its actions and behaviors in a human-interpretable manner.

18

Publications

1.1K

Citations

67

Authors

35

Institutions

Publications per year

2017–2026

18

Authors

67

  1. XJ
    X. Jessie Yang

    University of Michigan, United States

    2 publications · 198 citations

    2

    h-index

  2. LR
    Lionel Robert

    University of Michigan, United States

    2 publications · 198 citations

    2

    h-index

  3. CV
    Christos Verikoukis

    Centre Tecnologic de Telecomunicacions de Catalunya, Spain

    2 publications · 36 citations

    2

    h-index

  4. BB
    Bouziane Brik

    EURECOM, France

    2 publications · 36 citations

    2

    h-index

  5. MS
    Mohammad Salameh

    University of Alberta, Canada

    2 publications · 284 citations

    2

    h-index

1–5 of 67

Venues

  1. arXiv (Cornell University)

    Repository · 3 publications · 102 citations

    3

    h-index

  2. IEEE Access

    2 publications · 241 citations

    2

    h-index

  3. 1

    h-index

  4. 1

    h-index

  5. Information Technology and People

    1 publications · 17 citations

    1

    h-index

1–5