Chs: Small: An Optimized Human-Machine Intelligence Framework For Single And Multi-Label Classification Tasks Through Active Learning

Keyphrases

1. Multi-label Classification 100%
2. Single-label Classification 100%
3. Human-machine Intelligence 100%
4. Active Learning 100%
5. Classification Task 100%
6. AI Framework 100%
7. Worker-centric 60%
8. Optimization Model 40%
9. Multi-label Classification Problem 40%
10. Innovative Solutions 40%
11. Human Factor Modeling 40%
12. Intelligence Model 40%
13. Human Factors 40%
14. Citizen Science 40%
15. National Science Foundation 20%
16. Species Observations 20%
17. Scientific Domain 20%
18. Multiple Disciplines 20%
19. Estimation Task 20%
20. Impact Review 20%
21. Learning Factor 20%
22. Citizen Scientist 20%
23. Intelligent Prediction 20%
24. Rigorous Evaluation 20%
25. Task Assignment 20%
26. Factor Estimation 20%
27. Iterative Framework 20%
28. Ecological Application 20%
29. Conservation Biologists 20%
30. Machine Algorithm 20%
31. Multiple Domains 20%
32. Observation Information 20%
33. Naturalists 20%
34. Modeling Strategy 20%
35. Real-world Deployment 20%
36. Crowdsourcing 20%
37. Human Labor 20%
38. Intellectual Contribution 20%
39. Cyber-human Systems 20%
40. Active Learning Methods 20%
41. Multi-label Task 20%
42. Science-based 20%
43. Ecologists 20%
44. Review Criteria 20%
45. Supervised Machine Learning 20%