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Explainable Artificial Intelligence (XAI)

Explainable Artificial Intelligence

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Showing 501–525 of 1041 papers

TitleStatusHype
From slides (through tiles) to pixels: an explainability framework for weakly supervised models in pre-clinical pathology—0
VR-LENS: Super Learning-based Cybersickness Detection and Explainable AI-Guided Deployment in Virtual Reality—0
Using Explainability to Inform Statistical Downscaling Based on Deep Learning Beyond Standard Validation ApproachesCode0
Example-Based Explainable AI and its Application for Remote Sensing Image Classification—0
Hypothesis Testing and Machine Learning: Interpreting Variable Effects in Deep Artificial Neural Networks using Cohen's f2—0
Diagrammatization and Abduction to Improve AI Interpretability With Domain-Aligned Explanations for Medical Diagnosis—0
LesionAid: Vision Transformers-based Skin Lesion Generation and Classification—0
Charting the Sociotechnical Gap in Explainable AI: A Framework to Address the Gap in XAI—0
BALANCE: Bayesian Linear Attribution for Root Cause LocalizationCode1
Towards the Linear Algebra Based Taxonomy of XAI Explanations—0
Even if Explanations: Prior Work, Desiderata & Benchmarks for Semi-Factual XAICode0
Multi-dimensional concept discovery (MCD): A unifying framework with completeness guaranteesCode1
Incentives to Offer Algorithmic Recourse—0
Explainable AI does not provide the explanations end-users are asking for—0
Selective Explanations: Leveraging Human Input to Align Explainable AI—0
Explaining Quantum Circuits with Shapley Values: Towards Explainable Quantum Machine LearningCode1
ExClaim: Explainable Neural Claim Verification Using RationalizationCode0
Rationalization for Explainable NLP: A Survey—0
An Artificial Intelligence-based model for cell killing prediction: development, validation and explainability analysis of the ANAKIN model—0
Explainable, Interpretable & Trustworthy AI for Intelligent Digital Twin: Case Study on Remaining Useful Life—0
MAFUS: a Framework to predict mortality risk in MAFLD subjects—0
Explainable Data Poison Attacks on Human Emotion Evaluation Systems based on EEG SignalsCode0
Monotonicity for AI ethics and society: An empirical study of the monotonic neural additive model in criminology, education, health care, and finance—0
Trends in Explainable AI (XAI) LiteratureCode1
Towards Reconciling Usability and Usefulness of Explainable AI Methodologies—0
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