activity
20202026
most citedExploring the Effect of Image Enhancement Techniques on COVID-19 Detection using Chest X-rays Images

9 citations · 14 across the 7 of their papers we have counts for

collaborators

7 papers

cs.LG2026

On Out-of-sample Embedding in UMAP

Mohammad Tariqul Islam, Jason W. Fleischer

Neighbor embedding algorithms reveal correlations in high-dimensional data by constructing an equivalent graph representation in a lower-dimensional space. An increasingly popular…

cs.LG2025

Manifold Approximation leads to Robust Kernel Alignment

Mohammad Tariqul Islam, Du Liu, Deblina Sarkar

Centered kernel alignment (CKA) is a popular metric for comparing representations, determining equivalence of networks, and conducting neuroscience research. However, CKA does not…

eess.IV2025

GastroViT: A Vision Transformer Based Ensemble Learning Approach for Gastrointestinal Disease Classification with Grad CAM & SHAP Visualization

Sumaiya Tabassum, Md. Faysal Ahamed, Hafsa Binte Kibria +4

The gastrointestinal (GI) tract of humans can have a wide variety of aberrant mucosal abnormality findings, ranging from mild irritations to extremely fatal illnesses. Prompt ident…

cs.LG2025

The Shape of Attraction in UMAP: Exploring the Embedding Forces in Dimensionality Reduction

Mohammad Tariqul Islam, Jason W. Fleischer

Uniform manifold approximation and projection (UMAP) is among the most popular neighbor embedding methods. The method samples pairs of point indices according to similarities in th…

eess.IV2024

Outlier Detection in Large Radiological Datasets using UMAP

Mohammad Tariqul Islam, Jason W. Fleischer

The success of machine learning algorithms heavily relies on the quality of samples and the accuracy of their corresponding labels. However, building and maintaining large, high-qu…

eess.IV2020★ 9 cited

Exploring the Effect of Image Enhancement Techniques on COVID-19 Detection using Chest X-rays Images

Tawsifur Rahman, Amith Khandakar, Yazan Qiblawey +8

The use of computer-aided diagnosis in the reliable and fast detection of coronavirus disease (COVID-19) has become a necessity to prevent the spread of the virus during the pandem…

eess.IV2020★ 5 cited

Deep Learning for Reliable Classification of COVID-19, MERS, and SARS from Chest X-Ray Images

Anas Tahir, Yazan Qiblawey, Amith Khandakar +6

Novel Coronavirus disease (COVID-19) is an extremely contagious and quickly spreading Coronavirus infestation. Severe Acute Respiratory Syndrome (SARS) and Middle East Respiratory…