Christin Seifert

Computer Science

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