Towards Semantic Multimodal Emotion Recognition for Enhancing Assistive Services in Ubiquitous Robotics. - Naouel Ayari; Hazem Abdelkawy; Abdelghani Chibani; Yacine Amirat (AAAI Fall Symposia, 2017)

Deep HMResNet Model for Human Activity-Aware Robotic Systems. - Hazem Abdelkawy; Naouel Ayari; Abdelghani Chibani; Yacine Amirat; Ferhat Attal (CoRR, 2018)

Age estimation from faces using deep learning: A comparative analysis. - Alice Othmani; Abdul Rahman Taleb; Hazem Abdelkawy; Abdenour Hadid (Comput. Vis. Image Underst., 2020)

MonoCInIS: Camera Independent Monocular 3D Object Detection using Instance Segmentation. - Jonas Heylen; Mark De Wolf; Bruno Dawagne; Marc Proesmans; Luc Van Gool; Wim Abbeloos; Hazem Abdelkawy; Daniel Olmeda Reino (ICCVW, 2021)

Leveraging recent advances in deep learning for audio-Visual emotion recognition. - Liam Schoneveld; Alice Othmani; Hazem Abdelkawy (Pattern Recognit. Lett., 2021)

Spatio-Temporal Convolutional Networks and N-Ary Ontologies for Human Activity-Aware Robotic System. - Hazem Abdelkawy; Naouel Ayari; Abdelghani Chibani; Yacine Amirat; Ferhat Attal (IEEE Robotics Autom. Lett., 2021)

Hybrid approaches for context recognition in Ambient Assisted Living systems : application to emotion recognition and human activity recognition and anticipation. (Approches hybrides pour la reconnaissance du contexte dans les systèmes d'assistance à l'autonomie à domicile : application à la reconnaissance des émotions et à la reconnaissance et l'anticipation de l'activité humaine). - Hazem Abdelkawy (2021)

Hybrid approach for anticipating human activities in Ambient Intelligence environments. - Koussaila Moulouel; Abdelghani Chibani; Hazem Abdelkawy; Yacine Amirat (CASE, 2022)

BD-Transformer: A Transformer-Based Approach for Bipolar Disorder Classification Using Audio. - Mohamed Ramadan; Hazem Abdelkawy; Mustaqueem; Alice Othmani (MICAD, 2022)

Hybrid Model-Based Emotion Contextual Recognition for Cognitive Assistance Services. - Naouel Ayari; Hazem Abdelkawy; Abdelghani Chibani; Yacine Amirat (IEEE Trans. Cybern., 2022)