307 results on '"David W. Aha"'
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2. Human-Centric Goal Reasoning with Ripple-Down Rules.
3. Case-Based Gesture Interface for Multiagent Formation Control.
4. Exploiting Text Data to Improve Critical Care Mortality Prediction.
5. Interpretable ML for Imbalanced Data.
6. Self-directed Learning of Action Models using Exploratory Planning.
7. Novel Object Discovery Using Case-Based Reasoning and Convolutional Neural Networks.
8. Towards Explainable NPCs: A Relational Exploration Learning Agent.
9. DARPA's Explainable Artificial Intelligence (XAI) Program.
10. Case-Based Team Recognition Using Learned Opponent Models.
11. A Goal Reasoning Agent for Controlling UAVs in Beyond-Visual-Range Air Combat.
12. A New Approach to Temporal Planning with Rich Metric Temporal Properties.
13. Towards Deception Detection in a Language-Driven Game.
14. Using Deep Learning to Automate Feature Modeling in Learning by Observation.
15. Incorporating Domain-Independent Planning Heuristics in Hierarchical Planning.
16. The AI Rebellion: Changing the Narrative.
17. Modeling Consecutive Task Learning with Task Graph Agendas.
18. AI Rebel Agents.
19. On Reproducible AI: Towards Reproducible Research, Open Science, and Digital Scholarship in AI Publications.
20. Goal Reasoning: Foundations, Emerging Applications, and Prospects.
21. Investigating the solution space for online iterative explanation in goal reasoning agents.
22. Goal reasoning for autonomous underwater vehicles: Responding to unexpected agents.
23. Distributed discrepancy detection for a goal reasoning agent in beyond-visual-range air combat.
24. Incorporating Transparency During Trust-Guided Behavior Adaptation.
25. Hierarchical Planning: Relating Task and Goal Decomposition with Task Sharing.
26. Semantic Classification of Utterances in a Language-Driven Game.
27. Bound to Plan: Exploiting Classical Heuristics via Automatic Translations of Tail-Recursive HTN Problems.
28. Keypoint density-based region proposal for fine-grained object detection using regions with convolutional neural network features.
29. SPARCNN: Spatially related convolutional neural networks.
30. Image Surveillance Assistant.
31. Human-Agent Teaming as a Common Problem for Goal Reasoning.
32. Learning Planning Operators from Episodic Traces.
33. Using explanations to provide transparency during trust-guided behavior adaptation.
34. Flexible Plan-Subplan Matching for Plan Recognition in Case-Based Agents.
35. Case-Based Policy and Goal Recognition.
36. Case-Based Plan Recognition Under Imperfect Observability.
37. Improving Trust-Guided Behavior Adaptation Using Operator Feedback.
38. Learning to Estimate: A Case-Based Approach to Task Execution Prediction.
39. Tight Bounds for HTN Planning with Task Insertion.
40. Trust-Guided Behavior Adaptation Using Case-Based Reasoning.
41. Coordinating Robot Teams for Disaster Relief.
42. Error Tolerant Plan Recognition: An Empirical Investigation.
43. Increasing the Runtime Speed of Case-Based Plan Recognition.
44. Case-Based Behavior Recognition in Beyond Visual Range Air Combat.
45. Dungeon Crawl Stone Soup as an Evaluation Domain for Artificial Intelligence.
46. Leveraging Neighbor Attributes for Classification in Sparsely Labeled Networks.
47. Case-Based Plan Recognition Using Action Sequence Graphs.
48. Case-Based Parameter Selection for Plans: Coordinating Autonomous Vehicle Teams.
49. How Much Do You Trust Me? Learning a Case-Based Model of Inverse Trust.
50. Adapting Autonomous Behavior Using an Inverse Trust Estimation.
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