216 citations · 218 across the 2 of their papers we have counts for
7 papers
A Hybrid CNN--State-Space--Attention Backbone with Joint-Embedding Predictive Pretraining for 12-Lead ECG Classification
Yakoub Bazi, Sarah Aljuhani, Mohamad M. Al Rahhal +2
Automatic 12-lead electrocardiogram (ECG) classification requires representations that jointly capture local waveform morphology, long-range temporal dynamics, and cross-lead depen…
Selective Tool Use for Agentic Change Visual Question Answering in Remote Sensing
Yakoub Bazi, Mohamad M. Al Rahhal, Mohamed A. Mekhtiche +1
Change visual question answering (Change VQA) requires understanding semantic changes across bi-temporal remote sensing images. Although vision language models (VLMs) have shown pr…
Semi-Supervised Adaptation of Vision-Language Models for Image Classification
Mohamed L. Mekhalfi, Mohamad M. Al Rahhal, Yakoub Bazi +4
Vision-language models like CLIP have shown sig- nificant potential in handling natural images, yet their perfor- mance is often limited by the distinct characteristics of satellit…
Revisiting Change VQA in Remote Sensing with Structured and Native Multimodal Qwen Models
Yakoub Bazi, Mohamad M. Al Rahhal, Mansour Zuair +1
Change visual question answering (Change VQA) addresses the problem of answering natural-language questions about semantic changes between bi-temporal remote sensing (RS) images. A…
Enhancing Intrusion Detection in IoT Environments: An Advanced Ensemble Approach Using Kolmogorov-Arnold Networks
Amar Amouri, Mohamad Mahmoud Al Rahhal, Yakoub Bazi +2
In recent years, the evolution of machine learning techniques has significantly impacted the field of intrusion detection, particularly within the context of the Internet of Things…
REFUGE2 Challenge: A Treasure Trove for Multi-Dimension Analysis and Evaluation in Glaucoma Screening
Huihui Fang, Fei Li, Junde Wu +25
With the rapid development of artificial intelligence (AI) in medical image processing, deep learning in color fundus photography (CFP) analysis is also evolving. Although there ar…
Unsupervised Domain Adaptation using Generative Adversarial Networks for Semantic Segmentation of Aerial Images
Bilel Benjdira, Yakoub Bazi, Anis Koubaa +1
Segmenting aerial images is being of great potential in surveillance and scene understanding of urban areas. It provides a mean for automatic reporting of the different events that…