Pedro Arruda Faustini

Computer Science

1. Voice Assistant 100%
2. Natural Language Processing 100%
3. Non-Functional Requirement 83%
4. Fake News Detection 66%
5. Syntactics 66%
6. Software Metric 66%
7. Embedded System 66%
8. Adversarial Example 66%
9. Embedded Software 50%
10. Language Modeling 50%
11. Deep Learning Model 50%
12. Sensitive Informations 50%
13. Computer Science 33%
14. Multiple Language 33%
15. Multiple Platform 33%
16. Reinforcement Learning 33%
17. Software Defined Networking 33%
18. Learning System 33%
19. Word2vec 33%
20. Machine Learning 33%
21. Seq2Seq 33%
22. Anomaly Detection 33%
23. Network Function Virtualization 33%
24. Class Classification 33%
25. Naïve Approach 33%
26. Deep Learning Method 33%
27. Adversarial Machine Learning 33%
28. Anonymization 33%
29. Sensitive Attribute 33%
30. Differential Privacy 33%
31. Annotation 33%
32. Identification Technique 33%
33. Clinical Data 33%
34. Software Change 27%
35. Time Development 27%
36. Design-Space Exploration 27%
37. WhatsApp 22%
38. Gaussian White Noise 22%
39. Angular Separation 22%
40. Access Information 16%
41. question answering system 16%
42. User Satisfaction 16%
43. Accurate Predictive Model 16%
44. Spontaneous Speech 16%
45. User Experience 16%
46. Relevance Feedback 16%
47. Gradient Direction 16%
48. System Scenario 16%
49. Design Scenario 16%
50. Stochastic Gradient Descent 16%