most citedDLIME: A Deterministic Local Interpretable Model-Agnostic Explanations Approach for Computer-Aided Diagnosis Systems

57 citations · 82 across the 4 of their papers we have counts for

collaborators

5 papers

cs.LG201957 cited

DLIME: A Deterministic Local Interpretable Model-Agnostic Explanations Approach for Computer-Aided Diagnosis Systems

Muhammad Rehman Zafar, Naimul Mefraz Khan

Local Interpretable Model-Agnostic Explanations (LIME) is a popular technique used to increase the interpretability and explainability of black box Machine Learning (ML) algorithms…

cs.CV20191 cited

Transfer Learning with intelligent training data selection for prediction of Alzheimer's Disease

Naimul Mefraz Khan, Marcia Hon, Nabila Abraham

Detection of Alzheimer's Disease (AD) from neuroimaging data such as MRI through machine learning has been a subject of intense research in recent years. Recent success of deep lea…

cs.GR2017

A Novel Image-centric Approach Towards Direct Volume Rendering

Naimul Khan, Riadh Ksantini, Ling Guan

Transfer Function (TF) generation is a fundamental problem in Direct Volume Rendering (DVR). A TF maps voxels to color and opacity values to reveal inner structures. Existing TF to…

cs.CV201723 cited

Towards Alzheimer's Disease Classification through Transfer Learning

Marcia Hon, Naimul Khan

Detection of Alzheimer's Disease (AD) from neuroimaging data such as MRI through machine learning have been a subject of intense research in recent years. Recent success of deep le…

cs.MM20171 cited

Real-Time System for Human Activity Analysis

Randy Tan, Naimul Khan, Ling Guan

We propose a real-time human activity analysis system, where a user's activity can be quantiatively evaluated with respect to a ground truth recording. We use two Kinects to solve…