Transfer learning based hybrid 2D-3D CNN for traffic sign recognition and semantic road detection applied in advanced driver assistance systems. - Khaled Bayoudh; Fayçal Hamdaoui; Abdellatif Mtibaa (Appl. Intell., 2021)

A survey on deep multimodal learning for computer vision: advances, trends, applications, and datasets. - Khaled Bayoudh; Raja Knani; Fayçal Hamdaoui; Abdellatif Mtibaa (Vis. Comput., 2022)

A survey of multimodal hybrid deep learning for computer vision: Architectures, applications, trends, and challenges. - Khaled Bayoudh (Inf. Fusion, 2024)

Hybrid-CT: a novel hybrid 2D/3D CNN-Transformer based on transfer learning and attention mechanisms for small object classification. - Khaled Bayoudh; Abdellatif Mtibaa (Signal Image Video Process., 2025)

C-Hybrid-NET: A self-attention-based COVID-19 screening model based on concatenated hybrid 2D-3D CNN features from chest X-ray images. - Khaled Bayoudh; Fayçal Hamdaoui; Abdellatif Mtibaa (Multim. Tools Appl., 2025)

Hybrid 2D CAE-3D CNN-Based Video Anomaly Detection from Spatio-Temporal Cuboids. - Khaled Bayoudh; Fayçal Hamdaoui; Abdellatif Mtibaa (SN Comput. Sci., 2025)