Abdulrahman Noman

Orcid: 0009-0003-7284-793X

According to our database1, Abdulrahman Noman authored at least 10 papers between 2025 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Cascading size-dependent deep propagation (CADP): Addressing over-smoothing in graph few-shot dermatology classification.
Neural Networks, 2026

CAPTR-GTP: Class-aware prompting and token refinement with graph token propagation for few-shot ViTs.
Neural Networks, 2026

BIAN: Bidirectional interwoven attention network for retinal OCT image classification.
J. Vis. Commun. Image Represent., 2026

SEN-GAT: Synergistic Edge-Node graph attention networks for few-shot skin disease diagnosis.
Digit. Signal Process., 2026

GAMFuse: Graph-based Adaptive Multiscale Feature Fusion for few-shot skin lesion classification.
Biomed. Signal Process. Control., 2026

Semi-supervised few-shot learning via ensemble-based adaptive clustering-aware pseudo-labeling.
Appl. Soft Comput., 2026

2025
GCDPL-Net: graph-based co-attention discriminative prototype learning networks for few-shot classification.
Int. J. Mach. Learn. Cybern., October, 2025

AMSFuse: Adaptive Multi-Scale Feature Fusion Network for Diabetic Retinopathy Classification.
Comput. Mater. Continua, 2025

FEGGNN: Feature-Enhanced Gated Graph Neural Network for robust few-shot skin disease classification.
Comput. Biol. Medicine, 2025

BATR-FST: Bi-Level Adaptive Token Refinement for Few-Shot Transformers.
Proceedings of the International Joint Conference on Neural Networks, 2025


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