A Deep Learning Approach Based on Interpretable Feature Importance for Predicting Sports Results

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Open Access

|Mar 2025

Authors

Department of Computer Science, University Mohamed El Bachir El Ibrahimi of Bordj Bou Arreridj, Bordj Bou Arreridj, Algeria

Department of Computer Science, University Mohamed El Bachir El Ibrahimi of Bordj Bou Arreridj, Bordj Bou Arreridj, Algeria

Department of Computer Science, University Mohamed El Bachir El Ibrahimi of Bordj Bou Arreridj, Bordj Bou Arreridj, Algeria

Department of Computer Science, University Mohamed El Bachir El Ibrahimi of Bordj Bou Arreridj, Bordj Bou Arreridj, Algeria

Department of Computer Science, University Mohamed El Bachir El Ibrahimi of Bordj Bou Arreridj, Bordj Bou Arreridj, Algeria

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

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© 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.