Off-type Detection

Off-Type Detection is a scholarly methodological contribution that identifies and distinguishes artifacts, data, or elements deviating from an expected or canonical type within a given classification system or domain.

5

Publications

136

Citations

19

Authors

13

Institutions

Publications per year

2017–2026

2

Authors

19

  1. SS
    Snigdha Singh

    University of Delhi, India

    1 publications · 16 citations

    1

    h-index

  2. MS
    Mandeep Singh

    National Institute of Technology Karnataka, India

    2 publications · 32 citations

    1

    h-index

  3. RK
    Ratneshwar Kumar Ratnesh

    Banaras Hindu University, India

    1 publications · 16 citations

    1

    h-index

  4. MS
    Masahide Sasaki

    National Institute of Information and Communications Technology, Japan

    1 publications · 40 citations

    1

    h-index

  5. TS
    Tanushree Sen

    University of Kalyani, India

    1 publications · 14 citations

    1

    h-index

1–5 of 19

Venues

  1. ACS Applied Bio Materials

    AABM · 1 publications · 16 citations

    1

    h-index

  2. Talanta

    1 publications · 48 citations

    1

    h-index

  3. Physical Review A

    PRA · 1 publications · 40 citations

    1

    h-index

  4. The Analyst

    1 publications · 18 citations

    1

    h-index

  5. Beilstein Journal of Organic Chemistry

    BJOC · 1 publications · 14 citations

    1

    h-index

1–5