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1. The Reason Why: A Survey of Explanations for Recommender Systems

3. Explainable Recommendations in a Personalized Programming Practice System

4. Session-Based Recommendation Along with the Session Style of Explanation

6. MoReXAI - A Model to Reason About the eXplanation Design in AI Systems

7. Explanation Plug-In for Stream-Based Collaborative Filtering

9. Explanatory Pluralism in Explainable AI

10. Personalising Explainable Recommendations: Literature and Conceptualisation

11. Exploring the Effect of Explanations During Robot-Guided Emergency Evacuation

12. Exploiting Answer Set Programming for Building explainable Recommendations

14. Hybrid Data Set Optimization in Recommender Systems Using Fuzzy T-Norms

15. Ambient Explanations: Ambient Intelligence and Explainable AI

16. Explanation of Recommenders Using Formal Concept Analysis

17. Analysis of Abstention in the Elections to the Catalan Parliament by Means of Decision Trees

21. Evaluating Explanations by Cognitive Value

22. Towards Complementary Explanations Using Deep Neural Networks

23. 'What Does My Classifier Learn?' A Visual Approach to Understanding Natural Language Text Classifiers

25. What am I not Seeing? An Interactive Approach to Social Content Discovery in Microblogs

28. Evaluating Explanations by Cognitive Value

30. Explaining Graph Navigational Queries