Cross‐Method Explanation Stability Under Prediction‐Preserving Perturbations in Explainable AI
Applied AI Letters, Volume 7, Issue 2, June 2026.The cross‐method analysis showed common vulnerability patterns across gradient‐based and perturbation‐based explainers, whereas Grad‐CAM demonstrated a specific ability to be resilient. Further discussion revealed that, before prediction changes with increasing ε, explanation divergence could already have commenced, indicating that further explanation ...
Muhammad Hasnain +4 more
wiley +1 more source
Explainable Artificial Intelligence Unravels the Possible Distinct Roles of VKORC1 and CYP2C9 in Predicting Warfarin Anticoagulation Control. [PDF]
Med Sci (Basel)Sridharan K, Sivaramakrishnan G.
europepmc +1 more source
Stacked Ensemble Model With Explainable AI for Early Detection of Heart Disease
Analytical Science Advances, Volume 7, Issue 1, June 2026.ABSTRACT Heart disease (HD) is still one of the most common causes of death around the world. Early detection is very important, but it is often hard to do because the symptoms are not specific and the models are not very clear. We propose a two‐layer stacked ensemble that combines four base learners—Support Vector Machine, K‐Nearest Neighbors, Naïve ...
Nazmun Nahar +8 more
wiley +1 more source
From data to decisions: a modular platform for modelling and simulation of infectious disease diffusion in networks. [PDF]
BMC Med Inform Decis MakBranda F +7 more
europepmc +1 more source
Policy &Internet, Volume 18, Issue 2, June 2026.ABSTRACT AI‐generated images have become so good in recent years that individuals often cannot distinguish them from ‘real’ images. This development, combined with the rapid spread of AI‐generated content online, creates a series of societal risks. Watermarking, a technique that involves embedding information within the content to indicate their AI ...
Bram Rijsbosch +2 more
wiley +1 more source
Explainable multi agent reinforcement learning framework for secure and adaptive communication in UAV swarm based fanets. [PDF]
Sci RepAlkahtani HK +3 more
europepmc +1 more source
Quality and Reliability Engineering International, Volume 42, Issue 4, Page 1426-1442, June 2026.ABSTRACT Accurate state of health (SOH) estimation of Li‐ion batteries is essential for ensuring safety, reliability, and prolonging battery lifespan in energy storage systems and electric vehicles. This study proposes a hybrid temporal convolutional network (TCN)–transformer framework that effectively captures both short‐term temporal dynamics and ...
Fusen Guo +6 more
wiley +1 more source
MangoLeafNet-XAI: an attention-enhanced deep learning architecture for accurate and interpretable mango leaf disease classification. [PDF]
Front Plant SciRahman MA +4 more
europepmc +1 more source
Large Language Models for Explainable Medical Text Summarization: A Systematic Literature Review
WIREs Data Mining and Knowledge Discovery, Volume 16, Issue 2, June 2026.The graphical abstract highlights the three key aspects addressed in this review: the technical background of medical text summarization methods relevant to clinical decision support; the LLM background in providing context for its diagnosis and clinical significance; and clinical decision support with summarization and explainability in patient care ...
Aleka Melese Ayalew +3 more
wiley +1 more source
Correction: A trustworthy hybrid model for transparent software defect prediction: SPAM-XAI. [PDF]
PLoS OneMustaqeem M +5 more
europepmc +1 more source