External Links

Cite Key

Statistics

  • References: 0
  • Cited by: 0
  • Reviews: 0
  • Bibliographies: 0

PDF

Researchr

Researchr is a web site for finding, collecting, sharing, and reviewing scientific publications, for researchers by researchers.

Sign up for an account to create a profile with publication list, tag and review your related work, and share bibliographies with your co-authors.

A data-science pipeline to enable the Interpretability of Many-Objective Feature Selection

Uchechukwu F. Njoku, Alberto Abelló, Besim Bilalli, Gianluca Bontempi. A data-science pipeline to enable the Interpretability of Many-Objective Feature Selection. In Enrico Gallinucci, Matteo Lissandrini, editors, Proceedings of the 26th International Workshop on Design, Optimization, Languages and Analytical Processing of Big Data (DOLAP 2024) co-located with the 27th International Conference on Extending Database Technology and the 27th International Conference on Database Theory (EDBT/ICDT 2024), Paestum, Italy, March 25, 2024. Volume 3653 of CEUR Workshop Proceedings, pages 83-87, CEUR-WS.org, 2024. [doi]

Authors

Uchechukwu F. Njoku

This author has not been identified. Look up 'Uchechukwu F. Njoku' in Google

Alberto Abelló

This author has not been identified. Look up 'Alberto Abelló' in Google

Besim Bilalli

This author has not been identified. Look up 'Besim Bilalli' in Google

Gianluca Bontempi

This author has not been identified. Look up 'Gianluca Bontempi' in Google
runs on