Explainable AI

Explainable Bangla Linguistic Style Classification into Saint and Common Forms: A Deep Neural Network and Transformer-Based Approach with LIME-Based Interpretability

This study presents a deep neural network and transformer-based framework for classifying Bengali texts into saint and common forms, with SahajBERT achieving the best performance. The integration of LIME enhances interpretability, providing insights into stylistic cues aligned with linguistic expectations.

Oct 28, 2025

Comprehensive Lung Disease Detection Using Deep Learning Models and Hybrid Chest X-ray Data with Explainable AI

LIME was used to enhance the interpretability of model predictions, especially in cases of misclassification, contributing to the development of reliable and interpretable AI-driven solutions for medical imaging.

Jun 10, 2025

Bengali Handwritten Digit Recognition using CNN with Explainable AI

Handwritten character recognition is a significant research area, especially for languages like Bengali where quality OCR applications are scarce. Merging machine learning and deep learning techniques, including CNN, improves accuracy. The use of Grad-CAM as an XAI method enhances model interpretability.

Dec 18, 2022