Skip to content
Log in
Sponsored Artificial Intelligence: A Modern Approach, Global Edition Artificial Intelligence: A Modern Approach, Global Edition

Author

Lal Khan

h-index 2 View on Semantic Scholar

We have 2 of 10 papers

We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.

Not the right person? Other researchers publish under this name.

Review Open access 2026

AAC-HABSA: An Adaptive Aspect Conditioning Framework for Interpretable and Robust Aspect-Based Sentiment Analysis

Two hybrid architectures, namely HABSA and AAC-HABSA, centered on a novel Adaptive Aspect Conditioning Layer (AACL) that injects aspect information prior to transformer-based contextual encoding are proposed, providing a computationally efficient, mathematically coherent, and interpretable solution for fine-grained sen...

Mahander Kumar, Lal Khan, Mohammad Zubair Khan et al. · 0 citations
Open access Jul 2026

A comparative and interpretable machine learning framework for reliable diabetes risk prediction.

It is indicated that a rigorously conducted methodology and interpretability in machine learning development are crucial in creating machine learning solutions in healthcare decision support, which is the pathway to real applications in diabetes risk assessment.

T. Khan, M. Saeed, Majid Hussain et al. · 0 citations

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.