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

Messaoud Bendiaf

Messaoud Bendiaf

Department of Computer Science, University Mohamed El Bachir El Ibrahimi of Bordj Bou ArreridjBordj Bou Arreridj, Algeria
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Bendiaf, Messaoud
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Hakima Khelifi

Hakima Khelifi

Department of Computer Science, University Mohamed El Bachir El Ibrahimi of Bordj Bou ArreridjBordj Bou Arreridj, Algeria
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Khelifi, Hakima
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Djamila Mohdeb

Djamila Mohdeb

Department of Computer Science, University Mohamed El Bachir El Ibrahimi of Bordj Bou ArreridjBordj Bou Arreridj, Algeria
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Mohdeb, Djamila
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Mouhoub Belazzoug

Mouhoub Belazzoug

Department of Computer Science, University Mohamed El Bachir El Ibrahimi of Bordj Bou ArreridjBordj Bou Arreridj, Algeria
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Belazzoug, Mouhoub
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Abdelhamid Saifi

Abdelhamid Saifi

Department of Computer Science, University Mohamed El Bachir El Ibrahimi of Bordj Bou ArreridjBordj Bou Arreridj, Algeria
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Saifi, Abdelhamid
  
Mar 19, 2025
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Published Online: Mar 19, 2025
Page range: 56 - 72
DOI: https://doi.org/10.2478/ijcss-2025-0004
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© 2025 Messaoud Bendiaf et al., published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Bendiaf, Messaoud
Department of Computer Science, University Mohamed El Bachir El Ibrahimi of Bordj Bou ArreridjBordj Bou Arreridj, Algeria
Khelifi, Hakima
Department of Computer Science, University Mohamed El Bachir El Ibrahimi of Bordj Bou ArreridjBordj Bou Arreridj, Algeria
Mohdeb, Djamila
Department of Computer Science, University Mohamed El Bachir El Ibrahimi of Bordj Bou ArreridjBordj Bou Arreridj, Algeria
Belazzoug, Mouhoub
Department of Computer Science, University Mohamed El Bachir El Ibrahimi of Bordj Bou ArreridjBordj Bou Arreridj, Algeria
Saifi, Abdelhamid
Department of Computer Science, University Mohamed El Bachir El Ibrahimi of Bordj Bou ArreridjBordj Bou Arreridj, Algeria
Language:
English
Publication timeframe:
2 times per year
Journal Subjects:
Computer Sciences, Databases and Data Mining, Computer Sciences, other, Sports and Recreation, Physical Education, Sports and Recreation, other
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