Author

P. Suganthan

h-index 9 View on Semantic Scholar

We have 2 of 25 papers

We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.

Not the right person? Other researchers publish under this name.

#machine learning Preprint Aug 2026

GBFRVFL: Granular-Ball Computing-Based Fuzzy Random Vector Functional Link Network

A fuzzy granular-ball random vector functional link (GBFRVFL) framework that leverages granular-ball computing to abstract raw samples into adaptive granular balls and introduces two membership assignment schemes that enhance robustness to noise, outliers, class imbalance, and uncertainty in granular-ball distributions...

A. Quadir, A. Rahaman, P. Suganthan et al. · 0 citations

Preprint Aug 2026

Uncertainty-Aware Ensemble Deep Randomized Neural Networks for Classification

Extensive experiments conducted on UCI and KEEL benchmark datasets demonstrate the superiority of the proposed IF-dRVFL and IF-edRVFL models over existing SOTA fuzzy and non-fuzzy approaches.

M. Sajid, A. Quadir, A. Rahaman et al. · 0 citations