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Explainable Artificial Intelligence (XAI)

Explainable Artificial Intelligence

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TitleStatusHype
Ada-SISE: Adaptive Semantic Input Sampling for Efficient Explanation of Convolutional Neural Networks—0
VitrAI -- Applying Explainable AI in the Real World—0
The human-AI relationship in decision-making: AI explanation to support people on justifying their decisions—0
Principles of Explanation in Human-AI Systems—0
Enhancing Human-Machine Teaming for Medical Prognosis Through Neural Ordinary Differential Equations (NODEs)—0
Mitigating belief projection in explainable artificial intelligence via Bayesian TeachingCode0
Convolutional Neural Network Interpretability with General Pattern Theory—0
Unbox the Black-box for the Medical Explainable AI via Multi-modal and Multi-centre Data Fusion: A Mini-Review, Two Showcases and Beyond—0
A Survey on Understanding, Visualizations, and Explanation of Deep Neural Networks—0
Hierarchical Variational Autoencoder for Visual Counterfactuals—0
Matching Representations of Explainable Artificial Intelligence and Eye Gaze for Human-Machine Interaction—0
Visual explanation of black-box model: Similarity Difference and Uniqueness (SIDU) methodCode0
Cognitive Perspectives on Context-based Decisions and Explanations—0
Explainable Artificial Intelligence Approaches: A Survey—0
A Few Good Counterfactuals: Generating Interpretable, Plausible and Diverse Counterfactual Explanations—0
How can I choose an explainer? An Application-grounded Evaluation of Post-hoc Explanations—0
Expanding Explainability: Towards Social Transparency in AI systems—0
Explainable Artificial Intelligence (XAI): An Engineering Perspective—0
Explainable AI and Adoption of Financial Algorithmic Advisors: an Experimental Study—0
Quantitative Evaluations on Saliency Methods: An Experimental Study—0
XAI-P-T: A Brief Review of Explainable Artificial Intelligence from Practice to TheoryCode0
Predictive K-means with local models—0
Explanation from Specification—0
Deep Argumentative Explanations—0
An Empirical Study of Explainable AI Techniques on Deep Learning Models For Time Series Tasks—0
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