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Explainable Artificial Intelligence (XAI)

Explainable Artificial Intelligence

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Showing 1001–1041 of 1041 papers

TitleStatusHype
TX-Ray: Quantifying and Explaining Model-Knowledge Transfer in (Un-)Supervised NLPCode0
Rule Extraction in Unsupervised Anomaly Detection for Model Explainability: Application to OneClass SVMCode0
Natural Language Generation Challenges for Explainable AI—0
Explainable Artificial Intelligence (XAI) for 6G: Improving Trust between Human and Machine—0
Towards Best Practice in Explaining Neural Network Decisions with LRPCode0
Explainable Artificial Intelligence (XAI): Concepts, Taxonomies, Opportunities and Challenges toward Responsible AICode0
Do Explanations Reflect Decisions? A Machine-centric Strategy to Quantify the Performance of Explainability Algorithms—0
How a minimal learning agent can infer the existence of unobserved variables in a complex environment—0
On Evaluating Explainability Algorithms—0
Propagated Perturbation of Adversarial Attack for well-known CNNs: Empirical Study and its Explanation—0
Towards Explainable Neural-Symbolic Visual Reasoning—0
Towards a Rigorous Evaluation of XAI Methods on Time Series—0
X-ToM: Explaining with Theory-of-Mind for Gaining Justified Human Trust—0
Explanation based Handwriting VerificationCode0
explAIner: A Visual Analytics Framework for Interactive and Explainable Machine LearningCode0
A Survey on Explainable Artificial Intelligence (XAI): Towards Medical XAI—0
Mediation Challenges and Socio-Technical Gaps for Explainable Deep Learning Applications—0
A Human-Grounded Evaluation of SHAP for Alert Processing—0
From Clustering to Cluster Explanations via Neural Networks—0
Proposed Guidelines for the Responsible Use of Explainable Machine LearningCode1
The Twin-System Approach as One Generic Solution for XAI: An Overview of ANN-CBR Twins for Explaining Deep Learning—0
How Case Based Reasoning Explained Neural Networks: An XAI Survey of Post-Hoc Explanation-by-Example in ANN-CBR Twins—0
Enabling Explainable Fusion in Deep Learning with Fuzzy Integral Neural NetworksCode0
Do Not Trust Additive ExplanationsCode0
Natural Language Interaction with Explainable AI Models—0
A Grounded Interaction Protocol for Explainable Artificial Intelligence—0
Explanation in Human-AI Systems: A Literature Meta-Review, Synopsis of Key Ideas and Publications, and Bibliography for Explainable AI—0
Explaining Explanations to Society—0
Interaction Design for Explainable AI: Workshop Proceedings—0
Metrics for Explainable AI: Challenges and Prospects—0
Explainable artificial intelligence (XAI), the goodness criteria and the grasp-ability test—0
Towards Providing Explanations for AI Planner Decisions—0
Explainable Black-Box Attacks Against Model-based Authentication—0
XAI Beyond Classification: Interpretable Neural Clustering—0
Explainable Security—0
AudioMNIST: Exploring Explainable Artificial Intelligence for Audio Analysis on a Simple BenchmarkCode1
Towards a Grounded Dialog Model for Explainable Artificial Intelligence—0
RISE: Randomized Input Sampling for Explanation of Black-box ModelsCode1
Contrastive Explanations with Local Foil TreesCode0
Explaining Explanations: An Overview of Interpretability of Machine LearningCode0
Improved Explainability of Capsule Networks: Relevance Path by Agreement—0
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