Christin Seifert

Computer Science

1. User 100%
2. Models 70%
3. Domains 48%
4. Machine Learning 47%
5. Records 43%
6. Accuracy 40%
7. Visualization 38%
8. Prediction Model 38%
9. Explainable Artificial Intelligence 34%
10. Evaluation 33%
11. Contexts 31%
12. Classifier 30%
13. Convolutional Neural Network 30%
14. Digital Libraries 29%
15. Interpretability 29%
16. Word Embedding 29%
17. Channels 28%
18. Events 26%
19. Computer Technology 26%
20. Cultural Content 26%
21. Algorithms 26%
22. Text Classification 25%
23. Classifier 23%
24. Deep Learning 23%
25. Long Short-Term Memory Network 23%
26. Entity Disambiguation 22%
27. Disambiguation 22%
28. Survey 22%
29. Classification Task 21%
30. Deep Learning Model 21%
31. Use Case 20%
32. Annotation 20%
33. Standards 20%
34. Training Data 19%
35. Language Modeling 18%
36. Messages 17%
37. Linked Data 17%
38. Condensed Representation 17%
39. Semantics 17%
40. Linking 17%
41. Just-in-Time 17%
42. Generation Model 17%
43. Library Content 17%
44. Social Media 17%
45. Image Classification 17%
46. Preoperative Data 17%
47. Chain Rule 17%
48. Early Warning System 17%
49. Residual Neural Network 17%
50. Modified Version 17%