Chastine Fatichah, Prof., Dr.Eng., S.Kom., M.Kom.

Computer Science

1. Convolutional Neural Network 100%
2. Deep Learning Method 75%
3. Feature Extraction 64%
4. Experimental Result 58%
5. Support Vector Machine 42%
6. YOLO 34%
7. Tumor Segmentation 33%
8. Transfer Learning 32%
9. Image Segmentation 30%
10. Object Detection 28%
11. Image Enhancement 26%
12. Training Data 26%
13. Learning System 25%
14. Machine Learning 25%
15. Generative Adversarial Networks 23%
16. Robotics 22%
17. Residual Neural Network 22%
18. Attention (Machine Learning) 22%
19. Neural Network Architecture 22%
20. Long Short-Term Memory Network 21%
21. Random Decision Forest 20%
22. Texture Feature 20%
23. Natural Language Processing 19%
24. U-Net 19%
25. Cancer Diagnosis 18%
26. Leaning Parameter 17%
27. Bidirectional Encoder Representations From Transformers 17%
28. spam 17%
29. Structural Similarity 17%
30. Data Augmentation 17%
31. Sentiment Analysis 16%
32. Feature Selection 16%
33. peak signal to noise ratio 15%
34. Classification Method 15%
35. Metadata 15%
36. Classification Accuracy 15%
37. Computer Vision 15%
38. Annotation 14%
39. Robot 14%
40. Use Case 14%
41. Semantic Role Labeling 14%
42. Multi-Label Classification 14%
43. Imbalanced Data 14%
44. Grey Wolf Optimization 14%
45. Multitask Learning 14%
46. VGG16 14%
47. Information Extraction 14%
48. Convolution 13%
49. Learning Approach 13%
50. Decision Tree 13%