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Explainable Artificial Intelligence (XAI): Concepts, Taxonomies, Opportunities and Challenges toward Responsible AI
22 October 2019
Alejandro Barredo Arrieta
Natalia Díaz Rodríguez
Javier Del Ser
Adrien Bennetot
Siham Tabik
A. Barbado
S. García
S. Gil-Lopez
Daniel Molina
Richard Benjamins
Raja Chatila
Francisco Herrera
XAI
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Papers citing
"Explainable Artificial Intelligence (XAI): Concepts, Taxonomies, Opportunities and Challenges toward Responsible AI"
50 / 1,389 papers shown
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Explainability in reinforcement learning: perspective and position
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Explainable Misinformation Detection Across Multiple Social Media Platforms
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Ananya Srivastava
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Beyond Explaining: Opportunities and Challenges of XAI-Based Model Improvement
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Label-Free Explainability for Unsupervised Models
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Explaining a Deep Reinforcement Learning Docking Agent Using Linear Model Trees with User Adapted Visualization
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73
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Marija Slavkovik
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63
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52
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65
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MUC-driven Feature Importance Measurement and Adversarial Analysis for Random Forest
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59
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Training Characteristic Functions with Reinforcement Learning: XAI-methods play Connect Four
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Sebastian Pokutta
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61
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Explainability in Machine Learning: a Pedagogical Perspective
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40
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OG-SGG: Ontology-Guided Scene Graph Generation. A Case Study in Transfer Learning for Telepresence Robotics
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Conflict-Based Search for Explainable Multi-Agent Path Finding
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Contextual Intelligent Decisions: Expert Moderation of Machine Outputs for Fair Assessment of Commercial Driving
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100
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XAI in the context of Predictive Process Monitoring: Too much to Reveal
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Separating Rule Discovery and Global Solution Composition in a Learning Classifier System
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An ASP approach for reasoning on neural networks under a finitely many-valued semantics for weighted conditional knowledge bases
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