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Explainable Artificial Intelligence (XAI)

Explainable Artificial Intelligence

Papers

Showing 551575 of 1041 papers

TitleStatusHype
Foiling Explanations in Deep Neural NetworksCode0
Overcoming Catastrophic Forgetting by XAI0
The European AI Liability Directives -- Critique of a Half-Hearted Approach and Lessons for the Future0
Explainable Artificial Intelligence (XAI) from a user perspective- A synthesis of prior literature and problematizing avenues for future research0
Interpretability of an Interaction Network for identifying H bb jets0
Crown-CAM: Interpretable Visual Explanations for Tree Crown Detection in Aerial Images0
Explainable Artificial Intelligence and Causal Inference based ATM Fraud Detection0
Explainability Via Causal Self-Talk0
Using explainability to design physics-aware CNNs for solving subsurface inverse problems0
Explainable Artificial Intelligence: Precepts, Methods, and Opportunities for Research in Construction0
Explainable Artificial Intelligence in Construction: The Content, Context, Process, Outcome Evaluation Framework0
Seamful XAI: Operationalizing Seamful Design in Explainable AI0
Explainability in Practice: Estimating Electrification Rates from Mobile Phone Data in SenegalCode0
Behaviour Trees for Creating Conversational Explanation Experiences0
Social Construction of XAI: Do We Need One Definition to Rule Them All?0
Motif-guided Time Series Counterfactual Explanations0
Privacy Meets Explainability: A Comprehensive Impact Benchmark0
XAI-BayesHAR: A novel Framework for Human Activity Recognition with Integrated Uncertainty and Shapely Values0
ViT-CX: Causal Explanation of Vision TransformersCode1
eXplainable AI for Quantum Machine Learning0
Explainable AI over the Internet of Things (IoT): Overview, State-of-the-Art and Future Directions0
Backtracking Counterfactuals0
Towards Human Cognition Level-based Experiment Design for Counterfactual Explanations (XAI)0
Painting the black box white: experimental findings from applying XAI to an ECG reading setting0
Towards Formal XAI: Formally Approximate Minimal Explanations of Neural Networks0
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