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Explainable Artificial Intelligence (XAI)

Explainable Artificial Intelligence

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Showing 801–850 of 1041 papers

TitleStatusHype
Visualisation to Explain Personal Health Trends in Smart Homes—0
Intelligent Decision Assistance Versus Automated Decision-Making: Enhancing Knowledge Work Through Explainable Artificial Intelligence—0
A User-Centred Framework for Explainable Artificial Intelligence in Human-Robot Interaction—0
Explainability Pitfalls: Beyond Dark Patterns in Explainable AI—0
AI-HRI 2021 Proceedings—0
Internet of Behavior (IoB) and Explainable AI Systems for Influencing IoT Behavior—0
When Stability meets Sufficiency: Informative Explanations that do not Overwhelm—0
From Philosophy to Interfaces: an Explanatory Method and a Tool Inspired by Achinstein's Theory of ExplanationCode0
ECQ^x: Explainability-Driven Quantization for Low-Bit and Sparse DNNsCode0
CX-ToM: Counterfactual Explanations with Theory-of-Mind for Enhancing Human Trust in Image Recognition ModelsCode0
Semi-Supervised Learning Based on Auto-generated Lexicon Using XAI in Sentiment Analysis—0
The Role of Explainability in Assuring Safety of Machine Learning in Healthcare—0
Knowledge-based XAI through CBR: There is more to explanations than models can tell—0
Explaining Bayesian Neural Networks—0
CGEMs: A Metric Model for Automatic Code Generation using GPT-3—0
Longitudinal Distance: Towards Accountable Instance Attribution—0
Explainable Reinforcement Learning for Broad-XAI: A Conceptual Framework and Survey—0
XAI Methods for Neural Time Series Classification: A Brief Review—0
Misleading the Covid-19 vaccination discourse on Twitter: An exploratory study of infodemic around the pandemicCode0
An Experimental Study of Quantitative Evaluations on Saliency Methods—0
Seven challenges for harmonizing explainability requirements—0
Harnessing value from data science in business: ensuring explainability and fairness of solutions—0
Interpretable Summaries of Black Box Incident Triaging with Subgroup DiscoveryCode0
Knowledge-intensive Language Understanding for Explainable AI—0
On the Importance of Domain-specific Explanations in AI-based Cybersecurity Systems (Technical Report)—0
GHOST at SemEval-2021 Task 5: Is explanation all you need?—0
Towards explainable artificial intelligence (XAI) for early anticipation of traffic accidentsCode0
MAIR: Framework for mining relationships between research articles, strategies, and regulations in the field of explainable artificial intelligence—0
The Who in XAI: How AI Background Shapes Perceptions of AI Explanations—0
Resisting Out-of-Distribution Data Problem in Perturbation of XAI—0
Explainable artificial intelligence (XAI) in deep learning-based medical image analysis—0
GLIME: A new graphical methodology for interpretable model-agnostic explanations—0
Proceedings of ICML 2021 Workshop on Theoretic Foundation, Criticism, and Application Trend of Explainable AI—0
Explainable AI: current status and future directions—0
How to choose an Explainability Method? Towards a Methodical Implementation of XAI in Practice—0
Explainable AI (XAI) for PHM of Industrial Asset: A State-of-The-Art, PRISMA-Compliant Systematic Review—0
Levels of explainable artificial intelligence for human-aligned conversational explanations—0
Does Dataset Complexity Matters for Model Explainers?Code0
A Review of Explainable Artificial Intelligence in Manufacturing—0
Quality Metrics for Transparent Machine Learning With and Without Humans In the Loop Are Not Correlated—0
An XAI Approach to Deep Learning Models in the Detection of DCIS—0
Crowdsourcing Evaluation of Saliency-based XAI Methods—0
Explanatory Pluralism in Explainable AI—0
Evaluation of Saliency-based Explainability Method—0
Human-in-the-loop model explanation via verbatim boundary identification in generated neighborhoodsCode0
A Turing Test for Transparency—0
Rational Shapley ValuesCode0
Developing a Fidelity Evaluation Approach for Interpretable Machine LearningCode0
Toward Affective XAI: Facial Affect Analysis for Understanding Explainable Human-AI Interactions—0
Counterfactual Explanations as Interventions in Latent SpaceCode0
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