Kwabena Nuamah

Computer Science

1. Answering Query 100%
2. Models 68%
3. Reasoning 47%
4. User 46%
5. Knowledge Base 45%
6. Heterogeneous Data 39%
7. Probability 39%
8. Regression 39%
9. Application 33%
10. Internet 32%
11. Algorithms 30%
12. Natural Languages 29%
13. Gaussian Process 27%
14. Artificial Intelligence 26%
15. Contexts 24%
16. Correlation 22%
17. Inference Process 22%
18. Statistics 19%
19. Heuristics 19%
20. Aggregate Function 19%
21. Background Knowledge 19%
22. Schematic Diagram 19%
23. Automated Reasoning 19%
24. Data Source 19%
25. Information Retrieval 19%
26. Automation 19%
27. Intents 19%
28. Automated Transformation 19%
29. Embedding 19%
30. Link Prediction 19%
31. Inference Method 16%
32. Evaluation 16%
33. Graph Construction 14%
34. Use Case 14%
35. Representation 13%
36. Contextual Information 13%
37. Hybrid Approach 13%
38. Coefficient of Variation 13%
39. Intelligent Systems 13%
40. User Preference 13%
41. Classes 11%
42. Deep Neural Network 10%
43. Domains 10%
44. Neural Network Model 10%
45. Accuracy 10%
46. Availability 9%
47. Syntactics 9%
48. Erroneous Data 9%
49. Query Language 9%
50. Information Retrieval Systems 9%