Research

Bekhelifi, O., Berrached, N.-E., Bendahmane, A.: Effects of the presentation order of stimulations in sequential ERP/SSVEP Hybrid Brain-Computer Interface. Biomed. Phys. Eng. Express. 10, 035009 (2024). https://doi.org/10.1088/2057-1976/ad2f58. Article Link.

Bekhelifi, O., Berrached, N.-E.: Towards Fast Single-Trial Online ERP based Brain-Computer Interface using dry EEG electrodes and neural networks: a pilot study. (2022). https://doi.org/10.48550/arXiv.2211.10352. Article Link.

Bekhelifi, O., Berrached, N.: On Optimizing Deep Neural Networks Inference on CPUs for Brain-Computer Interfaces using Inference Engines. In: 2024 IEEE International Symposium on Circuits and Systems (ISCAS). pp. 1–5. IEEE, Singapore (2024).https://doi.org/10.1109/ISCAS58744.2024.10558617. Article Link.

Djouher Mebtouche, N. El, Baha, N., Bekhelifi, O.: mini-Unet GAN: Optimized GAN for Monocular Depth Estimation. In: 2024 6th International Conference on Pattern Analysis and Intelligent Systems (PAIS). pp. 1–7. IEEE (2024). https://doi.org/10.1109/PAIS62114.2024.10541253. Article Link.

Bekhelifi, O., Berrached, N.-E.: Benchmarking Deep Learning Optimizers for the classification of Event-Related Potentials based Brain-Computer Interface EEG data. In: 2024 6th International Conference on Pattern Analysis and Intelligent Systems (PAIS). pp. 1–8. IEEE (2024). https://doi.org/10.1109/PAIS62114.2024.10541127  Article Link.