Data Literacy for Responsible Decision-Making

Computer Science

1. Models 100%
2. Deep Learning 43%
3. Machine Learning 26%
4. Real World 26%
5. Application 24%
6. Algorithms 24%
7. Representation 23%
8. Diagnosis 22%
9. Classes 21%
10. Detection 20%
11. Database 18%
12. Residual Neural Network 17%
13. Bidirectional Encoder Representations From Transformers 17%
14. Multitask Learning 17%
15. Modeling 17%
16. Attention (Machine Learning) 17%
17. Representation Learning 14%
18. Deep Neural Network 13%
19. Benchmark 13%
20. Networks 13%
21. Support Vector Machine 12%
22. Feature Selection 12%
23. Annotation 12%
24. Natural Language Processing 11%
25. Domains 10%
26. Research Direction 10%
27. Emotion Recognition 10%
28. Identification 10%
29. Language Modeling 10%
30. Sparse Representation 9%
31. Semantics 9%
32. Deep Feature 8%
33. Soft Computing 8%
34. Aggregation Network 8%
35. Text Representation 8%
36. Domain Knowledge 8%
37. Survey 8%
38. Unmanned Aerial Vehicle 8%
39. Person Re-Identification 8%
40. Graph Representation 8%
41. Software 8%
42. Knowledge Acquisition 8%
43. Feature Vector 8%
44. Unified Framework 8%
45. Multi-Objective Optimization 8%
46. New-State 8%
47. Training Sample 8%
48. Quantitative Study 8%
49. Representation Model 8%
50. Intelligent Systems 8%
51. Art Performance 8%
52. Coder 8%
53. Deep Architecture 8%
54. Shuffle 8%
55. Latent Variable Model 8%
56. Pose Variation 8%
57. Internet of Things 8%
58. Multiobjective 8%
59. Dirichlet Process 8%
60. Multimedia 8%
61. Sarcasm Detection 8%
62. Image Synthesis 8%
63. Training Data 8%
64. Treatment Outcome 8%
65. Dialog System 8%
66. Response Generation 8%
67. Named Entity Recognition 8%
68. Ensemble Method 8%
69. Graph Neural Network 8%
70. Experimental Result 8%
71. Regularization 8%
72. Internet 8%
73. Prediction Accuracy 7%
74. Embedding 7%
75. Synthetic Data 7%
76. Procedures 7%
77. Accuracy 6%
78. Sparsity 6%
79. Transfer Learning 6%
80. Generation Model 6%
81. Computing 6%
82. Research Topic 6%
83. Predictive Performance 6%
84. Classifier 6%
85. Explained Variance 5%
86. Semantic Information 5%
87. Differential Evolution 5%
88. Optimization 5%
89. Feature Extraction 5%
90. Artificial Intelligence 5%
91. Nearest Neighbor 5%
92. Regression 5%