A Deep Learning Approach Based on Interpretable Feature Importance for Predicting Sports Results
Authors
Messaoud Bendiaf
Department of Computer Science, University Mohamed El Bachir El Ibrahimi of Bordj Bou Arreridj, Bordj Bou Arreridj, Algeria
Hakima Khelifi
Department of Computer Science, University Mohamed El Bachir El Ibrahimi of Bordj Bou Arreridj, Bordj Bou Arreridj, Algeria
Djamila Mohdeb
Department of Computer Science, University Mohamed El Bachir El Ibrahimi of Bordj Bou Arreridj, Bordj Bou Arreridj, Algeria
Mouhoub Belazzoug
Department of Computer Science, University Mohamed El Bachir El Ibrahimi of Bordj Bou Arreridj, Bordj Bou Arreridj, Algeria
Abdelhamid Saifi
Department of Computer Science, University Mohamed El Bachir El Ibrahimi of Bordj Bou Arreridj, Bordj Bou Arreridj, Algeria
DOI: https://doi.org/10.2478/ijcss-2025-0004 | Journal eISSN: 1684-4769
Language: English
Page range: 56 - 72
Published on: Mar 19, 2025
Published by: International Association of Computer Science in Sport
In partnership with: Paradigm Publishing Services
Publication frequency: 2 issues per year
Keywords:
Related subjects:
© 2025 Messaoud Bendiaf, Hakima Khelifi, Djamila Mohdeb, Mouhoub Belazzoug, Abdelhamid Saifi, published by International Association of Computer Science in Sport
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.