Mannes Poel

Computer Science

1. Reinforcement Learning 100%
2. Robot 78%
3. Computer Interface 72%
4. Models 67%
5. Control 65%
6. Representation Learning 58%
7. Robotics 43%
8. mobile robot navigation 38%
9. Functions 37%
10. Contexts 34%
11. Artificial Intelligence 33%
12. Deep Reinforcement Learning 33%
13. Classes 32%
14. Domains 31%
15. Application 30%
16. Outlier Detection 29%
17. Log Data 29%
18. Algorithms 28%
19. Machine Learning 28%
20. Accuracy 26%
21. Real World 24%
22. Classifier 23%
23. Clinical Decision Support System 21%
24. Pattern Recognition 21%
25. Artifacts 21%
26. User 21%
27. User Experience 19%
28. Outlier 19%
29. Machine Learning Approach 19%
30. Concept Drift 19%
31. And-States 19%
32. Deep Learning 17%
33. Evaluation 17%
34. Electromyography 16%
35. Database 16%
36. Neural Network 16%
37. Machine Learning Technique 16%
38. Computer Game 16%
39. Usability 16%
40. Detection 16%
41. Fraud Detection 14%
42. Learning Agent 14%
43. Health Care 14%
44. Channels 14%
45. Dynamic Decision 14%
46. Markov Decision Process 14%
47. Descriptors 14%
48. Dialog System 14%
49. Process Approach 14%
50. Human Activity Recognition 14%