Matthias Scheutz

Computer Science

1. Reinforcement Learning 100%
2. Cognitive Architecture 66%
3. Architecture Framework 66%
4. Symbolic Information 66%
5. 3d Scenes 66%
6. Visual Informations 66%
7. False Positive 66%
8. Anomaly Detection 66%
9. Explainable Artificial Intelligence 66%
10. Artificial Intelligence 66%
11. semantic description 66%
12. Autonomous System 66%
13. Motion Planning 66%
14. Continual Learning 66%
15. Counterfactual Reasoning 33%
16. Closed World Assumption 33%
17. Development Team 33%
18. Simulated Environment 33%
19. Confusion Matrix 33%
20. Machine Learning 33%
21. Extracted Feature 33%
22. Classification Accuracy 33%
23. Computer Vision 33%
24. Visual Appearance 33%
25. Image Processing Method 33%
26. Semantic Feature 33%
27. VGG-16 33%
28. Interactive System 33%
29. Synthetic Datasets 33%
30. Learning System 33%
31. Industrial Environment 33%
32. Fast Convergence 33%
33. Operating Environment 33%
34. Continuous Domain 33%
35. Traditional Method 33%
36. Learning Framework 33%
37. World Application 33%
38. Convolutional Neural Network 33%