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Explainable Artificial Intelligence (XAI)

Explainable Artificial Intelligence

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TitleStatusHype
Better Model Selection with a new Definition of Feature Importance—0
Should We Trust (X)AI? Design Dimensions for Structured Experimental Evaluations—0
An Argumentation-based Approach for Explaining Goal Selection in Intelligent Agents—0
Argumentation-based Agents that Explain their Decisions—0
On Generating Plausible Counterfactual and Semi-Factual Explanations for Deep LearningCode1
Play MNIST For Me! User Studies on the Effects of Post-Hoc, Example-Based Explanations & Error Rates on Debugging a Deep Learning, Black-Box Classifier—0
Quantifying Explainability of Saliency Methods in Deep Neural Networks with a Synthetic DatasetCode0
Machine Reasoning Explainability—0
Mediating Community-AI Interaction through Situated Explanation: The Case of AI-Led Moderation—0
Explainability in Deep Reinforcement Learning—0
Survey of XAI in digital pathology—0
ExplAIn: Explanatory Artificial Intelligence for Diabetic Retinopathy Diagnosis—0
Explainable Artificial Intelligence Based Fault Diagnosis and Insight Harvesting for Steel Plates Manufacturing—0
Safety design concepts for statistical machine learning components toward accordance with functional safety standards—0
Joint Mind Modeling for Explanation Generation in Complex Human-Robot Collaborative Tasks—0
Locality Guided Neural Networks for Explainable Artificial Intelligence—0
Gaining Insight into SARS-CoV-2 Infection and COVID-19 Severity Using Self-supervised Edge Features and Graph Neural NetworksCode1
Embedded Encoder-Decoder in Convolutional Networks Towards Explainable AICode1
The Clever Hans Effect in Anomaly Detection—0
Opportunities and Challenges in Explainable Artificial Intelligence (XAI): A Survey—0
How Much Can I Trust You? -- Quantifying Uncertainties in Explaining Neural NetworksCode1
Explainable Artificial Intelligence: a Systematic Review—0
Good Counterfactuals and Where to Find Them: A Case-Based Technique for Generating Counterfactuals for Explainable AI (XAI)—0
Automated Copper Alloy Grain Size Evaluation Using a Deep-learning CNN—0
Applying Genetic Programming to Improve Interpretability in Machine Learning ModelsCode0
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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