Applications, Challenges, and Future Directions of Human-in-the-Loop Learning

Machine learning (ML) has become a popular technique for various automation tasks in the era of Industry 4.0, such as the analysis and synthesis of visual data such as images and videos, natural language and speech, financial data, and biomedical applications. However, ML-based automation techniques...

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Autors principals:	Sushant Kumar, Sumit Datta, Vishakha Singh, Deepanwita Datta, Sanjay Kumar Singh, Ritesh Sharma
Format:	Artigo
Idioma:	Inglês
Publicat:	IEEE 2024-01-01
Col·lecció:	IEEE Access
Matèries:	Human-in-the-loop (HITL) machine learning algorithms accountability transparency
Accés en línia:	https://ieeexplore.ieee.org/document/10530996/
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