A hybrid CNN-SSM-Attention backbone for 12-lead ECG classification is introduced, which provides strong supervised baselines under a compact parameter budget and improves transfer, particularly in reduced-label settings and under both full fine-tuning and LoRA-based adaptation.
Y. Bazi, Sarah Aljuhani, M. M. Al Rahhal et al.· 0 citations
A selective tool use framework in which a single VLM either answers directly or invokes a deterministic change analysis tool to obtain question specific evidence to demonstrate the benefit of question-specific semantic evidence for Change VQA, while highlighting the influence of semantic prediction quality on the resul...
Y. Bazi, M. M. Al Rahhal, M. Mekhtiche et al.· 0 citations
This paper introduces the Sensitive Entity Alias Generator (SEAG), a privacy-preserving framework that empowers users to utilize powerful third-party generators without disclosing sensitive information and demonstrates the success of the SEAG framework.
Saleh Almohaimeed, Saad Almohaimeed, Mousa Jari et al.· 0 citations
Results on the UC Merced (UCM) and NWPU benchmarks indicate that SE-CLIP significantly outperforms existing semi-supervised approaches and provides a viable solution for adapting VLMs to the remote sensing domain with minimal human intervention.
M. L. Mekhalfi, M. M. Al Rahhal, Y. Bazi et al.· IEEE Geoscience and Remote S...· 0 citations
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