Analyzing the impact of socioeconomic indicators on gender inequality in Sri Lanka: A machine learning-based approach

Sherin Kularathne, Amanda Perera, Namal Rathnayake, Upaka Rathnayake, Yukinobu Hoshino

Open source

DOI: 10.1371/journal.pone.0312395
Published: 2024-12-26
Container: PLOS ONE
Publisher: Public Library of Science (PLoS)
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1371/journal.pone.0312395,
  title = {Analyzing the impact of socioeconomic indicators on gender inequality in Sri Lanka: A machine learning-based approach},
  author = {Sherin Kularathne and Amanda Perera and Namal Rathnayake and Upaka Rathnayake and Yukinobu Hoshino},
  year = {2024},
  journal = {PLOS ONE},
  doi = {10.1371/journal.pone.0312395},
  url = {https://doi.org/10.1371/journal.pone.0312395}
}

RIS

TY  - JOUR
TI  - Analyzing the impact of socioeconomic indicators on gender inequality in Sri Lanka: A machine learning-based approach
AU  - Sherin Kularathne
AU  - Amanda Perera
AU  - Namal Rathnayake
AU  - Upaka Rathnayake
AU  - Yukinobu Hoshino
PY  - 2024
JO  - PLOS ONE
DO  - 10.1371/journal.pone.0312395
UR  - https://doi.org/10.1371/journal.pone.0312395
ER  -

APA

Kularathne, S., Perera, A., Rathnayake, N., Rathnayake, U., & Hoshino, Y. (2024). Analyzing the impact of socioeconomic indicators on gender inequality in Sri Lanka: A machine learning-based approach. PLOS ONE. https://doi.org/10.1371/journal.pone.0312395

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crossref · retrieved 2026-09-27T12:07:47.836Z