American Psychological Association 6th edition

Bendiaf Messaoud, Khelifi Hakima, Mohdeb Djamila, Belazzoug Mouhoub, & Saifi Abdelhamid. (2025). A Deep Learning Approach Based on Interpretable Feature Importance for Predicting Sports Results. International Journal of Computer Science in Sport, 24, 56-72. https://doi.org/10.2478 jcss-2025-0004

ISO-690 (author-date, English)

BENDIAF MESSAOUD, KHELIFI HAKIMA, MOHDEB DJAMILA, BELAZZOUG MOUHOUB and SAIFI ABDELHAMID, 2025. A Deep Learning Approach Based on Interpretable Feature Importance for Predicting Sports Results. International Journal of Computer Science in Sport. 1 February 2025. Vol. 24, , p. 56-72. DOI 10.2478 jcss-2025-0004.

Modern Language Association 9th edition

Bendiaf Messaoud, Khelifi Hakima, Mohdeb Djamila, Belazzoug Mouhoub, and Saifi Abdelhamid. “A Deep Learning Approach Based on Interpretable Feature Importance for Predicting Sports Results”. International Journal of Computer Science in Sport, vol. 24, Feb. 2025, pp. 56-72, https://doi.org/10.2478 jcss-2025-0004.

Mohr Siebeck - Recht (Deutsch - Österreich)

Bendiaf Messaoud/Khelifi Hakima/Mohdeb Djamila/Belazzoug Mouhoub/Saifi Abdelhamid: A Deep Learning Approach Based on Interpretable Feature Importance for Predicting Sports Results, International Journal of Computer Science in Sport 2025, 56-72.

Emerald - Harvard

Bendiaf Messaoud, Khelifi Hakima, Mohdeb Djamila, Belazzoug Mouhoub and Saifi Abdelhamid. (2025), “A Deep Learning Approach Based on Interpretable Feature Importance for Predicting Sports Results”, International Journal of Computer Science in Sport, Vol. 24, pp. 56-72.

Warning: These citations may not always be 100% accurate.