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2. Enhancing Human Understanding through Intelligent Explanations
3. Predicate synthesis from formal specifications: Using mathematical induction for finding the preconditions of theorems
4. Data dictionary design: a logic programming approach
5. Negotiating Knowledge Through Mathematical Activities in Classroom Interactions
6. One Explanation Does Not Fit All: The Promise of Interactive Explanations for Machine Learning Transparency
7. Towards a Theory of Explanations for Human–Robot Collaboration
8. DIFF: a relational interface for large-scale data explanation
9. A process framework for inducing and explaining Datalog theories
10. Leveraging Arguments in User Reviews for Generating and Explaining Recommendations
11. Case-Based Learning of Applicability Conditions for Stochastic Explanations
12. Understanding Recommendations by Reading the Clouds
13. Lazy Explanations for Constraint Propagators
14. Explaining the Non-compliance between Templates and Agreement Offers in WS-Agreement
15. Data Security Analysis Using Unsupervised Learning and Explanations
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