Mannes Poel

Computer Science

1. Reinforcement Learning 100%
2. Robot 85%
3. Computer Interface 66%
4. Representation Learning 66%
5. Models 61%
6. Control 59%
7. Robotics 39%
8. mobile robot navigation 39%
9. Functions 34%
10. Contexts 31%
11. Artificial Intelligence 30%
12. Deep Reinforcement Learning 30%
13. Classes 29%
14. Domains 28%
15. Application 27%
16. Outlier Detection 26%
17. Log Data 26%
18. Algorithms 26%
19. Machine Learning 25%
20. Accuracy 24%
21. Real World 22%
22. And-States 22%
23. Classifier 21%
24. Clinical Decision Support System 19%
25. Pattern Recognition 19%
26. Artifacts 19%
27. User 19%
28. User Experience 18%
29. Outlier 17%
30. Machine Learning Approach 17%
31. Concept Drift 17%
32. Deep Learning 15%
33. Evaluation 15%
34. Electromyography 15%
35. Database 15%
36. Neural Network 15%
37. Machine Learning Technique 15%
38. Computer Game 14%
39. Usability 14%
40. Detection 14%
41. Fraud Detection 13%
42. Learning Agent 13%
43. Health Care 13%
44. Channels 13%
45. Dynamic Decision 13%
46. Markov Decision Process 13%
47. Descriptors 13%
48. Dialog System 13%
49. Process Approach 13%
50. Human Activity Recognition 13%