Shapley-Value Based Feature Attribution for Explainability and Algorithmic Fairness: A Model-Agnostic Benchmark

Sokrat Aldarmini; Mohamed Nafea

doi:10.1109/ICDMW69685.2025.00046

Shapley-Value Based Feature Attribution for Explainability and Algorithmic Fairness: A Model-Agnostic Benchmark

Sokrat Aldarmini
, Mohamed Nafea

Missouri University of Science and Technology

Missouri University of Science and Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Original language	English
Title of host publication	Proceedings - 25th IEEE International Conference on Data Mining Workshops, ICDMW 2025
Publisher	IEEE Computer Society
Pages	348-355
Number of pages	8
ISBN (Electronic)	9798331581329
DOIs	https://doi.org/10.1109/ICDMW69685.2025.00046
State	Published - 2025
Event	25th IEEE International Conference on Data Mining Workshops, ICDMW 2025 - Washington, United States Duration: Nov 12 2025 → Nov 15 2025

Publication series

Name	IEEE International Conference on Data Mining Workshops, ICDMW
ISSN (Print)	2375-9232
ISSN (Electronic)	2375-9259

Conference

Conference	25th IEEE International Conference on Data Mining Workshops, ICDMW 2025
Country/Territory	United States
City	Washington
Period	11/12/25 → 11/15/25

ASJC Scopus Subject Areas

Software
Computer Science Applications

Keywords

Explainable AI
Feature attribution
Machine learning fairness
Model agnostic analysis
Shapley value

Access to Document

10.1109/ICDMW69685.2025.00046

Cite this

Aldarmini, S., & Nafea, M. (2025). Shapley-Value Based Feature Attribution for Explainability and Algorithmic Fairness: A Model-Agnostic Benchmark. In Proceedings - 25th IEEE International Conference on Data Mining Workshops, ICDMW 2025 (pp. 348-355). (IEEE International Conference on Data Mining Workshops, ICDMW). IEEE Computer Society. https://doi.org/10.1109/ICDMW69685.2025.00046

Shapley-Value Based Feature Attribution for Explainability and Algorithmic Fairness: A Model-Agnostic Benchmark. / Aldarmini, Sokrat; Nafea, Mohamed.
Proceedings - 25th IEEE International Conference on Data Mining Workshops, ICDMW 2025. IEEE Computer Society, 2025. p. 348-355 (IEEE International Conference on Data Mining Workshops, ICDMW).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Aldarmini, S & Nafea, M 2025, Shapley-Value Based Feature Attribution for Explainability and Algorithmic Fairness: A Model-Agnostic Benchmark. in Proceedings - 25th IEEE International Conference on Data Mining Workshops, ICDMW 2025. IEEE International Conference on Data Mining Workshops, ICDMW, IEEE Computer Society, pp. 348-355, 25th IEEE International Conference on Data Mining Workshops, ICDMW 2025, Washington, United States, 11/12/25. https://doi.org/10.1109/ICDMW69685.2025.00046

@inproceedings{8161c5edf401426e927864d54d102430,

title = "Shapley-Value Based Feature Attribution for Explainability and Algorithmic Fairness: A Model-Agnostic Benchmark",

keywords = "Explainable AI, Feature attribution, Machine learning fairness, Model agnostic analysis, Shapley value",

author = "Sokrat Aldarmini and Mohamed Nafea",

note = "Publisher Copyright: {\textcopyright} 2025 IEEE.; 25th IEEE International Conference on Data Mining Workshops, ICDMW 2025 ; Conference date: 12-11-2025 Through 15-11-2025",

year = "2025",

doi = "10.1109/ICDMW69685.2025.00046",

language = "English",

series = "IEEE International Conference on Data Mining Workshops, ICDMW",

publisher = "IEEE Computer Society",

pages = "348--355",

booktitle = "Proceedings - 25th IEEE International Conference on Data Mining Workshops, ICDMW 2025",

}

TY - GEN

T1 - Shapley-Value Based Feature Attribution for Explainability and Algorithmic Fairness

T2 - 25th IEEE International Conference on Data Mining Workshops, ICDMW 2025

AU - Aldarmini, Sokrat

AU - Nafea, Mohamed

PY - 2025

Y1 - 2025

KW - Explainable AI

KW - Feature attribution

KW - Machine learning fairness

KW - Model agnostic analysis

KW - Shapley value

UR - https://www.scopus.com/pages/publications/105035387270

UR - https://www.scopus.com/pages/publications/105035387270#tab=citedBy

U2 - 10.1109/ICDMW69685.2025.00046

DO - 10.1109/ICDMW69685.2025.00046

M3 - Conference contribution

AN - SCOPUS:105035387270

T3 - IEEE International Conference on Data Mining Workshops, ICDMW

SP - 348

EP - 355

BT - Proceedings - 25th IEEE International Conference on Data Mining Workshops, ICDMW 2025

PB - IEEE Computer Society

Y2 - 12 November 2025 through 15 November 2025

ER -

Shapley-Value Based Feature Attribution for Explainability and Algorithmic Fairness: A Model-Agnostic Benchmark

Publication series

Conference

ASJC Scopus Subject Areas

Keywords

Access to Document

Other files and links

Fingerprint

Cite this