3 papers
cs.CV2026
One-Shot Data Selection for Medical Image Classification via Graph Coverage
Zahiriddin Rustamov, Nadia Badawi, Rafat Damseh +1
Training medical image classifiers on entire datasets is wasteful when annotation budgets are limited: not all samples contribute equally, yet acquiring expert labels is expensive.…
cs.AI2026
Large AI Models in Dental Healthcare: From General-Purpose Systems to Domain-Specific Foundation Models
Sema Helali, Lina Abu Nada, Sausan Al Kawas +3
Background: Oral diseases affect nearly 3.5 billion people worldwide, yet the comparative clinical potential of large-scale AI models in dentistry remains poorly understood. Three…
cs.LG2024
GAIS: A Novel Approach to Instance Selection with Graph Attention Networks
Zahiriddin Rustamov, Ayham Zaitouny, Rafat Damseh +1
Instance selection (IS) is a crucial technique in machine learning that aims to reduce dataset size while maintaining model performance. This paper introduces a novel method called…