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Explainable Artificial Intelligence (XAI)

Explainable Artificial Intelligence

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Showing 976–1000 of 1041 papers

TitleStatusHype
Explainable Reinforcement Learning: A Survey—0
Pruning coupled with learning, ensembles of minimal neural networks, and future of XAI—0
Visualisation and knowledge discovery from interpretable models—0
A multi-component framework for the analysis and design of explainable artificial intelligence—0
Post-hoc explanation of black-box classifiers using confident itemsets—0
Explainable Goal-Driven Agents and Robots -- A Comprehensive Review—0
LAXARY: A Trustworthy Explainable Twitter Analysis Model for Post-Traumatic Stress Disorder Assessment—0
Ground Truth Evaluation of Neural Network Explanations with CLEVR-XAICode1
xCos: An Explainable Cosine Metric for Face Verification TaskCode1
Vector symbolic architectures for context-free grammars—0
Understanding the Prediction Mechanism of Sentiments by XAI Visualization—0
A Study on Multimodal and Interactive Explanations for Visual Question Answering—0
What Emotions Make One or Five Stars? Understanding Ratings of Online Product Reviews by Sentiment Analysis and XAI—0
xAI-GAN: Enhancing Generative Adversarial Networks via Explainable AI SystemsCode0
The Pragmatic Turn in Explainable Artificial Intelligence (XAI)—0
Towards explainable meta-learning—0
Leveraging Rationales to Improve Human Task Performance—0
Explainable Active Learning (XAL): An Empirical Study of How Local Explanations Impact Annotator Experience—0
Proxy Tasks and Subjective Measures Can Be Misleading in Evaluating Explainable AI Systems—0
Questioning the AI: Informing Design Practices for Explainable AI User Experiences—0
Measuring the Quality of Explanations: The System Causability Scale (SCS). Comparing Human and Machine Explanations—0
Pruning by Explaining: A Novel Criterion for Deep Neural Network PruningCode0
On the Explanation of Machine Learning Predictions in Clinical Gait AnalysisCode0
Toward Personalized XAI: A Case Study in Intelligent Tutoring Systems—0
Explainable artificial intelligence model to predict acute critical illness from electronic health records—0
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