most citedArtificial Intelligence for Infectious Disease Prediction and Prevention: A Comprehensive Review

1 citations · 1 across the 3 of their papers we have counts for

collaborators

5 papers

cs.CV2026

Beyond Ambiguous Visual Cues: Studying Physiological Disruptions and Cross-Modal Inconsistencies in Deepfake Videos

Chenxi Yang, Yassine Ouzar, Larbi Boubchir

Recent deepfake detection studies increasingly suggest remote photoplethysmography (rPPG) signals as an authenticity cue. However, existing benchmarks lack physiological ground tru…

cs.CV2026

Multimodal Ambivalence and Hesitancy Recognition via Cross-Attention and Gated Fusion

Oussama Berhili, Yassine Ouzar, Larbi Boubchir

We present a multimodal framework for Ambivalence/Hesitancy (A/H) recognition in video, developed for the ABAW11 challenge at ECCV 2026. The proposed approach fuses textual, acoust…

cs.CV2026

Sparse Attention to Emotion: Efficient Facial Emotion Recognition via Token Reduction

Aya Manel Zitouni, Aicha Zenakhri, Karim Haroun +1

Facial Emotion Recognition (FER) is an important task that has significant implications across various fields such as biometrics, health, and human-computer interaction. Current Vi…

cs.LG2026

Efficient Deep Learning for Biometrics: Overview, Challenges and Trends in Ear of Frugal AI

Karim Haroun, Aya Zitouni, Aicha Zenakhri +2

Recent advances in deep learning, whether on discriminative or generative tasks have been beneficial for various applications, among which security and defense. However, their incr…

cs.LG2024★ 1 cited

Artificial Intelligence for Infectious Disease Prediction and Prevention: A Comprehensive Review

Selestine Melchane, Youssef Elmir, Farid Kacimi +1

Artificial Intelligence (AI) and infectious diseases prediction have recently experienced a common development and advancement. Machine learning (ML) apparition, along with deep le…