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Explainable Artificial Intelligence (XAI)

Explainable Artificial Intelligence

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Showing 601–650 of 1041 papers

TitleStatusHype
TEFL: Turbo Explainable Federated Learning for 6G Trustworthy Zero-Touch Network Slicing—0
Tell me more: Intent Fulfilment Framework for Enhancing User Experiences in Conversational XAI—0
T-Explainer: A Model-Agnostic Explainability Framework Based on Gradients—0
The AI Act proposal: a new right to technical interpretability?—0
The Anatomy of Adversarial Attacks: Concept-based XAI Dissection—0
The Clever Hans Effect in Anomaly Detection—0
The Conflict Between Explainable and Accountable Decision-Making Algorithms—0
The Dark Side of Explanations: Poisoning Recommender Systems with Counterfactual Examples—0
The design and implementation of Language Learning Chatbot with XAI using Ontology and Transfer Learning—0
The Disagreement Problem in Faithfulness Metrics—0
The European AI Liability Directives -- Critique of a Half-Hearted Approach and Lessons for the Future—0
The future of human-centric eXplainable Artificial Intelligence (XAI) is not post-hoc explanations—0
The human-AI relationship in decision-making: AI explanation to support people on justifying their decisions—0
The Impact of Imperfect XAI on Human-AI Decision-Making—0
The Inadequacy of Shapley Values for Explainability—0
The Influence of Explainable Artificial Intelligence: Nudging Behaviour or Boosting Capability?—0
The Limits of Perception: Analyzing Inconsistencies in Saliency Maps in XAI—0
The Need for Standardized Explainability—0
Theoretical Behavior of XAI Methods in the Presence of Suppressor Variables—0
The Pragmatic Turn in Explainable Artificial Intelligence (XAI)—0
The privacy issue of counterfactual explanations: explanation linkage attacks—0
The Representational Status of Deep Learning Models—0
The Response Shift Paradigm to Quantify Human Trust in AI Recommendations—0
The role of causality in explainable artificial intelligence—0
The Role of Deep Learning in Financial Asset Management: A Systematic Review—0
The Role of Explainability in Assuring Safety of Machine Learning in Healthcare—0
The Role of XAI in Transforming Aeronautics and Aerospace Systems—0
Machine Learning for QoS Prediction in Vehicular Communication: Challenges and Solution Approaches—0
The Thousand Faces of Explainable AI Along the Machine Learning Life Cycle: Industrial Reality and Current State of Research—0
The Twin-System Approach as One Generic Solution for XAI: An Overview of ANN-CBR Twins for Explaining Deep Learning—0
The Who in XAI: How AI Background Shapes Perceptions of AI Explanations—0
Threading the Needle of On and Off-Manifold Value Functions for Shapley Explanations—0
Toward Affective XAI: Facial Affect Analysis for Understanding Explainable Human-AI Interactions—0
Towards a general framework for improving the performance of classifiers using XAI methods—0
Towards a Grounded Dialog Model for Explainable Artificial Intelligence—0
Towards a Praxis for Intercultural Ethics in Explainable AI—0
Towards a Rigorous Evaluation of Explainability for Multivariate Time Series—0
Towards a Rigorous Evaluation of XAI Methods on Time Series—0
Towards a Shapley Value Graph Framework for Medical peer-influence—0
When Stability meets Sufficiency: Informative Explanations that do not Overwhelm—0
Towards explainable meta-learning—0
Towards Bridging the FL Performance-Explainability Trade-Off: A Trustworthy 6G RAN Slicing Use-Case—0
Towards Explainable AI for Channel Estimation in Wireless Communications—0
Towards eXplainable AI for Mobility Data Science—0
Towards Explainable Artificial Intelligence (XAI): A Data Mining Perspective—0
Towards Feminist Intersectional XAI: From Explainability to Response-Ability—0
Towards Formal XAI: Formally Approximate Minimal Explanations of Neural Networks—0
Towards Harnessing Natural Language Generation to Explain Black-box Models—0
Towards Human Cognition Level-based Experiment Design for Counterfactual Explanations (XAI)—0
Towards Human-Compatible XAI: Explaining Data Differentials with Concept Induction over Background Knowledge—0
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