Gwenn Englebienne

Computer Science

1. Activity Recognition 100%
2. Detection 53%
3. Robot 52%
4. Sensor Networks 31%
5. Telepresence 31%
6. Models 27%
7. Speech Emotion Recognition 24%
8. Hidden Markov Models 22%
9. Hierarchical Model 22%
10. Roles 22%
11. Human Activity Recognition 20%
12. Wireless Sensor Network 20%
13. Temporal Feature 20%
14. Algorithms 19%
15. Standards 18%
16. Human Activity 16%
17. Robotics 16%
18. Live Performance 16%
19. Convolutional Network 16%
20. Classifier 13%
21. User 12%
22. Classification Problem 12%
23. Ambient Sensor 12%
24. Relationships 12%
25. Feature Extraction 12%
26. Embedding Method 11%
27. Real World 11%
28. Audience Member 11%
29. Conditional Random Field 10%
30. Social Robot 10%
31. Embedding 10%
32. Mobile Robot 10%
33. Object Detection 10%
34. Machine Learning 10%
35. Transfer Learning 9%
36. Personal Space 9%
37. Annotation 8%
38. Artificial Social Agent 8%
39. Deep Learning 8%
40. Graph Neural Network 8%
41. Design 8%
42. Force-Feedback 8%
43. Digital Collection 8%
44. Digital Library System 8%
45. Semantic Space 8%
46. Networked Information 8%
47. Artifacts 8%
48. Concept Mapping 8%
49. Channels 8%
50. Trajectory Data 8%