Mar 26, 2024 � We investigate the use of a stratified sampling approach for LIME Image, a popular model-agnostic explainable AI method for computer vision tasks.

Mar 26, 2024 � We investigate the use of a stratified sampling approach for LIME Image, a popular model-agnostic explainable AI method for computer vision�...

We investigate the use of a stratified sampling approach for LIME Image, a popular model-agnostic explainable AI method for computer vision tasks, in order�...

Mar 31, 2024 � Experiments showed that the stratified lime is working better in all those cases where baseline LIME Image was unable to create meaningful explanations.

Stratified sampling enhances LIME Image explanations by addressing undersampling issues, improving model fidelity.

Technical paper AAAI 2024 • February 23, 2024 • Vancouver , Canada Using Stratified Sampling to Improve LIME Image Explanations | VIDEO

This repository contains the changes needed to add the stratified sampling strategy to the original codebase of LIME proposed for the Research Article�...

This Repositry contains codes to reproduce results for our publication 'Using stratified sampling to improve LIME Image explanations' published at�...

Presentations. Using Stratified Sampling to Improve LIME Image Explanations | VIDEO. Muhammad Rashid and 3 other authors. Stay up to date with the latest�...

Mar 27, 2024 � I am excited to share that our paper 'Using Stratified Sampling to improve Lime-Image Explanations', has been published at Proceedings of�...