İzzet Kale

Revolutionizing healthcare: the role of artificial intelligence in clinical practice

Splitting the unit delay [FIR/all pass filters design]

Improving imbalanced learning through a heuristic oversampling method based on k-means and SMOTE

Machine learning‐based in‐line holographic sensing of unstained malaria‐infected red blood cells

Learning from class-imbalanced data: Review of methods and applications

Learning from imbalanced data: open challenges and future directions

SMOTE–IPF: Addressing the noisy and borderline examples problem in imbalanced classification by a re-sampling method with filtering

The dual-tree complex wavelet transform

SMOTE for Learning from Imbalanced Data: Progress and Challenges, Marking the 15-year Anniversary

Parasite detection and identification for automated thin blood film malaria diagnosis

Implementation of wideband integer and fractionaldelay element