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Benkedadra Mohamed

Université de Mons - UMONS > Faculté Polytechnique > Service Informatique, Logiciel et Intelligence artificielle

Université de Mons - UMONS > Faculté Polytechnique > Service Information, Signal et Intelligence artificielle

ORCID
0000-0002-2590-8344
Main Referenced Co-authors
MAHMOUDI, Sidi  (14)
MANCAS, Matei  (8)
GLOESENER, Maxime  (3)
AMEL, Otmane  (1)
Cacciarelli, Davide (1)
Main Referenced Keywords
Computer Vision (8); Danger Detection (5); Deep Learning (4); Object Detection (3); Artificial Intelligence (2);
Main Referenced Disciplines
Computer science (17)

Publications (total 17)

The most downloaded
312 downloads
Mahmoudi, S., Amel, O., Stassin, S., Liagre, M., Benkedadra, M., & Mancas, M. (May 2023). A Review and Comparative Study of Explainable Deep Learning Models Applied on Action Recognition in Real Time. Electronics, 12 (9), 2027. doi:10.3390/electronics12092027 https://hdl.handle.net/20.500.12907/46538

The most cited

24 citations (Scopus®)

Mahmoudi, S., Amel, O., Stassin, S., Liagre, M., Benkedadra, M., & Mancas, M. (May 2023). A Review and Comparative Study of Explainable Deep Learning Models Applied on Action Recognition in Real Time. Electronics, 12 (9), 2027. doi:10.3390/electronics12092027 https://hdl.handle.net/20.500.12907/46538

Benkedadra, M. (2026). Towards Reliable Edge Vision AI: Addressing Data, Adaptation, and Deployment Constraints [Doctoral thesis, UMONS - Université de Mons]. ORBi UMONS-University of Mons. https://orbi.umons.ac.be/handle/20.500.12907/55487

Mahmoudi, S., Benkedadra, M., Mancas, M., & Jean Philippe Draye. (11 December 2025). INFRASECURE : AI for securing Railway stations [Paper presentation]. FestIA.

BENKEDADRA, M., Saoudi, A., Gloesener, M., MAHMOUDI, S., & MANCAS, M. (2025). From Unity Simulation to Diffusion-Based Augmentation: Quantifying Dataset Balance for Robust Object Detection. CIIS '25: Proceedings of the 2025 8th International Conference on Computational Intelligence and Intelligent Systems, 29-36. doi:10.1145/3787256.3787261
Peer reviewed

Mahmoudi, S., & Benkedadra, M. (2025). L’IA au service de la sécurité des chantiers [Paper presentation]. Mobiwall.

Mahmoudi, S., Gloesener, M., Benkedadra, M., & Lerat, J.-S. (2025). Edge AI System for Real-Time and Explainable Forest Fire Detection Using Compressed Deep Learning Models. In Proceedings of the 20th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, 3, 847-854. doi:10.5220/0013382500003912
Peer reviewed

Mahmoudi, S., Gloesener, M., & Benkedadra, M. (2025). Edge AI for securing railway stations and construction sites [Paper presentation]. Hannover Messe, Hannover, Germany.

Benkedadra, M.* , & Mahmoudi, S.*. (2024). InnoTrans [Paper presentation]. Innotrans 2024, Berlin, Germany.
* These authors have contributed equally to this work.

Benkedadra, M., Rimez, D., Godelaine, T., Chidambaram, N., Khosroshahi, H. R., Tellez, H., Mancas, M., Macq, B., & Mahmoudi, S. (2024). CIA: Controllable Image Augmentation Framework Based on Stable Diffusion. IEEE Access, 600-606. doi:10.1109/mipr62202.2024.00102
Peer Reviewed verified by ORBi

Benkedadra, M., & Mahmoudi, S. (22 April 2024). Project Field Worker Protection [Paper presentation]. Hannover Messe, Hannover, Germany.
Editorial reviewed

BENKEDADRA, M., Mancas, M., & Mahmoudi, S. (2023). Feedback Driven Multi Stereo Vision System for Real-Time Event Analysis. ACM International Conference on Interactive Media Experiences 2023. doi:10.1145/3573381.3597220
Peer reviewed

Benkedadra, M., Mahmoudi, S., & Mancas, M. (2023). MLOps for Edge deployment of a Real Time Danger Detection AI [Paper presentation]. INFORTECH Day 2023, Mons, Belgium.

Mahmoudi, S., Amel, O., Stassin, S., Liagre, M., Benkedadra, M., & Mancas, M. (May 2023). A Review and Comparative Study of Explainable Deep Learning Models Applied on Action Recognition in Real Time. Electronics, 12 (9), 2027. doi:10.3390/electronics12092027
Peer Reviewed verified by ORBi

Benkedadra, M., & Mahmoudi, S. (2023). InfraSecure : a Danger Detection Solution for Construction Sites [Paper presentation]. Hannover Messe 2023, Hannover, Germany.

Manjah, D., Cacciarelli, D., Benkedadra, M., Standaert, B., De Hertaing, G. R., Macq, B., Galland, S., & De Vleeschouwer, C. (2023). Stream-Based Active Distillation for Scalable Model Deployment. In Proceedings - 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2023. IEEE Computer Society. doi:10.1109/CVPRW59228.2023.00528
Peer reviewed

Benkedadra, M., Mahmoudi, S., & Mancas, M. (30 March 2022). Real time, Explainable, and Edge Deployable AI for Securing Public Environments and Construction Sites [Poster presentation]. INFORTECH Day, Mons, Belgium.

Benkedadra, M., Mahmoudi, S., & Mancas, M. (30 March 2022). Real time, Explainable, and Edge Deployable AI for Securing Public Environments and Construction Sites [Poster presentation]. INFORTECH Day, Mons, Belgium.

El Amine Moumene, M., & Benkedadra, M. (02 June 2021). Enhanced Road Lane Detection Facing Sun Glare. Journal of Mobile Multimedia, 17 (4), 773 - 788. doi:10.13052/jmm1550-4646.17414
Peer reviewed

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