  | Ennadifi, E., Ravet, T., Mancas, M., Mokhtari, M. E. A., & Gosselin, B. (2023). Enhancing VR Gaming Experience using Computational Attention Models and Eye-Tracking. ACM International Conference on Interactive Media Experiences (IMX).  Peer reviewed |
  | Mokhtari, M. E. A., Mancas, M., Vandenbulcke, V., Ennadifi, E., Laraba, S., Tazir, M., & Gosselin, B. (2023). Efficient Action Recognition for Drones: A Comparative Study of Lightweight and Traditional Models [Paper presentation]. European Test and Telemetry Conference, Toulouse, France. |
 | Mokhtari, M. E. A., Vandenbulcke, V., Laraba, S., Mancas, M., Ennadifi, E., Tazir, M., & Gosselin, B. (2022). Semi-synthetic Data for Automatic Drone Shadow Detection. ESANN. Peer reviewed |
 | Ennadifi, E., Dandrifosse, S., Mokhtari, M. E. A., Carlier, A., Laraba, S., Mercatoris, B., & Gosselin, B. (2022). Local Unsupervised Wheat Head Segmentation. ICCP 2022. Peer reviewed |
 | Dandrifosse, S., Ennadifi, E., Carlier, A., Gosselin, B., Dumont, B., & Mercatoris, B. (2022). Contrasted-Fertilization Wheat Ear Dataset 2020. doi:10.5281/zenodo.5709821 |
 | Dandrifosse, S.* , Ennadifi, E.* , Carlier, A., Gosselin, B., Dumont, B., & Mercatoris, B. (2022). Deep Learning for Wheat Ear Segmentation and Ear Density Measurement: From Heading to Maturity. Computers and Electronics in Agriculture. Peer Reviewed verified by ORBi* These authors have contributed equally to this work. |
 | Dandrifosse, S., Ennadifi, E., Carlier, A., Gosselin, B., Dumont, B., & Mercatoris, B. (2022). Effect of the sun on the measurement of wheat ear density by deep learning. The 15th International Conference on Precision Agriculture. Peer reviewed |
 | Ennadifi, E., Laraba, S., Vincke, D., Mercatoris, B., & Gosselin, B. (2020). Wheat Diseases Classification and Localization Using Convolutional Neural Networks and GradCAM Visualization. IEEE ISCV2020. Peer reviewed |
