1 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.CV2026★ 1 cited
Diffusion-Based Feature Denoising and Using NNMF for Robust Brain Tumor Classification
Hiba Adil Al-kharsan, Róbert Rajkó
Brain tumor classification from magnetic resonance imaging, which is also known as MRI, plays a sensitive role in computer-assisted diagnosis systems. In recent years, deep learnin…
cs.CV2026
Diffusion-Based Feature Denoising with NNMF for Robust handwritten digit multi-class classification
Hiba Adil Al-kharsan, Róbert Rajkó
This work presents a robust multi-class classification framework for handwritten digits that combines diffusion-driven feature denoising with a hybrid feature representation. Inspi…
stat.ME2023★ 1 cited
On problematic practice of using normalization in Self-modeling/Multivariate Curve Resolution (S/MCR)
Róbert Rajkó
The paper is briefly dealing with greater or lesser misused normalization in self-modeling/multivariate curve resolution (S/MCR) practice. The importance of the correct use of the…