Grupo de Investigación en Inteligencia Artificial y Reconocimiento Facial (GIIAR)

INIS

1. learning 100%
2. data 79%
3. tools 67%
4. information 64%
5. applications 60%
6. algorithms 60%
7. machine learning 59%
8. design 55%
9. implementation 54%
10. detection 49%
11. computer codes 48%
12. architecture 46%
13. education 45%
14. ecuador 39%
15. performance 35%
16. fuzzy logic 32%
17. environment 32%
18. comparative evaluations 31%
19. internet 28%
20. cancer 28%
21. artificial intelligence 27%
22. teaching 27%
23. evaluation 26%
24. proposals 24%
25. decision making 24%
26. programming 24%
27. levels 24%
28. prediction 23%
29. computers 23%
30. assessments 22%
31. reviews 22%
32. accuracy 22%
33. maps 21%
34. neural networks 20%
35. universities 18%
36. interactions 18%
37. management 18%
38. breasts 17%
39. images 16%
40. processing 16%
41. classification 15%
42. diseases 14%
43. solutions 13%
44. security 12%
45. people 12%
46. modeling 12%
47. surveys 12%
48. children 12%
49. hybrids 11%
50. optimization 11%
51. humans 11%
52. schools 11%
53. correlations 9%
54. planning 9%
55. efficiency 9%
56. power 9%
57. livestock 9%
58. agriculture 9%
59. risks 9%
60. electricity 9%
61. image processing 9%
62. precision 8%
63. datasets 8%
64. rural areas 8%
65. devices 8%
66. interventions 8%
67. mapping 7%
68. water quality 7%
69. forecasting 7%
70. defects 7%
71. populations 7%
72. sensors 7%
73. layers 7%
74. simulation 7%
75. testing 7%
76. vision 7%
77. transformations 7%
78. dynamics 7%
79. volume 7%
80. Python 6%
81. mining 6%
82. recommendations 6%
83. monitoring 6%
84. industry 6%
85. patients 6%
86. capture 6%
87. covid-19 6%
88. errors 6%
89. control 6%
90. energy 5%
91. personnel 5%
92. demand 5%
93. increasing 5%
94. libraries 5%
95. eyes 5%
96. cattle 5%
97. economics 5%
98. marketing 5%
99. cameras 5%
100. randomness 5%