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Rofiqul Islam

Graduate Teaching & Research Assistant, Department of Computer Science at Wilfrid Laurier University

2 papers hereh-index 111 citations1 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author2

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • cs.SD1
  • eess.IV1
affiliations
  • Graduate Teaching & Research Assistant, Department of Computer Science at Wilfrid Laurier University
HomepageORCID 0009-0007-3747-652X

identity via Semantic Scholar / OpenAlex

collaborators

2 papers

eess.IV2026

Uncertainty-Aware and Explainable Ensemble Deep Learning Framework for Multi-Class Skin Lesion Classification

Rofiqul Islam, Lilatul Ferdouse

Skin cancer diagnosis from dermoscopic images remains challenging due to high intra-class variability, inter-class similarity, class imbalance, and the limited interpretability of…

cs.SD2025

Robust COVID-19 Detection from Cough Sounds using Deep Neural Decision Tree and Forest: A Comprehensive Cross-Datasets Evaluation

Rofiqul Islam, Nihad Karim Chowdhury, Muhammad Ashad Kabir

This research presents a robust approach to classifying COVID-19 cough sounds using cutting-edge machine-learning techniques. Leveraging deep neural decision trees and deep neural…

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