Grupo de Investigación Vida e Inteligencia Artificial - GIVIA

Keyphrases

1. Machine Learning Models 100%
2. Artificial Intelligence 98%
3. Machine Learning Techniques 62%
4. Artificial Intelligence Algorithm 59%
5. Electroencephalography 55%
6. Respiratory Sounds 44%
7. Respiratory Sound Classification 44%
8. Surface Electromyography (sEMG) 44%
9. Systems-based 44%
10. Computational Approach 44%
11. Bioengineering 44%
12. Quality of Life 41%
13. Natural Language Processing 37%
14. Artificial Neural Network 37%
15. Neural Network 37%
16. Random Forest 37%
17. Multi-class Classification 33%
18. Tuberculosis 33%
19. Post-diagnostic Support 33%
20. Computational Methods 33%
21. World Health Organization 33%
22. Biomedical Engineering 31%
23. Respiratory Disease 29%
24. Multidrug-resistant Tuberculosis (MDR-TB) 29%
25. Leading Causes of Death 29%
26. Support Vector Machine 29%
27. Object Manipulation 27%
28. Rehabilitation Engineering 27%
29. Brain-computer Interface 26%
30. ICBHI 25%
31. Wearable Sensors 25%
32. Feature Extraction 25%
33. Carbon Dots (C-dots) 22%
34. Machine Learning Clustering 22%
35. Cancer Analysis 22%
36. Data Analysis Fusion 22%
37. Sailboat 22%
38. Navigation Control System 22%
39. Bioinformatics Courses 22%
40. Learning Process Analysis 22%
41. Wearable System 22%
42. Extreme Learning Machine Algorithm 22%
43. Drug pipeline 22%
44. Molecular Compounds 22%
45. Cancer Theranostics 22%
46. Theranostic Nanoplatform 22%
47. Yellow-fluorescent 22%
48. Classifications of Languages 22%
49. Hand Pose 22%
50. Future Buildings 22%
51. Boron-doped Carbon Dots 22%
52. Motion Recognition 22%
53. Generative Models 22%
54. Resistance Protein 22%
55. Cancer Prediction 22%
56. Approaches Comparison 22%
57. TB Diagnosis 22%
58. Triboelectric Nanogenerator 22%
59. Frequency Domain Feature Extraction 22%
60. Extraction Comparison 22%
61. Time-domain Feature Extraction 22%
62. Hydrogen Peroxide Detection 22%
63. Estimation Process 22%
64. Tuberculosis Drug Discovery 22%
65. Weight Classification 22%
66. Fluorescent Carbon Dots 22%
67. Spiking Neural Networks 22%
68. Paper-based Triboelectric Nanogenerator 22%
69. Antibiotic Resistance 22%
70. Gene Expression Data 22%
71. Recognition-based 22%
72. Cancer Cells 22%
73. Network Analysis 22%
74. Multi-class 22%
75. Sign Language 22%
76. Deep Learning Model 22%
77. Text Analysis 22%
78. Minimum Inhibitory Concentration 22%
79. Reach-to-grasp 22%
80. CoMoS 22%
81. Quinolone Resistance 22%
82. Colombians 22%
83. Granger Causality 22%
84. Staphylococcus Aureus 22%
85. Classification Basis 22%
86. Pedagogical Approaches 22%
87. MHC Class I 22%
88. Cancer Types 22%
89. Concentration Value 22%
90. Manipulation Tasks 22%
91. Fall Prevention 22%
92. Motor Imagery 22%
93. Regressor 22%
94. Power Use 22%
95. Protein Sequence 22%
96. Extreme Learning Machine 22%
97. Escherichia Coli 22%
98. Medical Records 22%
99. Neuromotor Rehabilitation 22%
100. Biotechnology 22%