A data-driven active learning approach to reusing ML solutions in scientific applications
Work
Year: 2024
Type: article
Abstract: Artificial intelligence can revolutionize scientific projects, but scientists face challenges in reusing, integrating, and deploying cost-effective and high-quality machine learning solutions. Determi... more
Source: Journal of Systems and Software
Institution Karlsruhe Institute of Technology
Cites: 56
Cited by:
Related to: 10
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Subfield: Biophysics
Domain: Life Sciences
Sustainable Development Goal Decent work and economic growth
Open Access status: hybrid
APC paid (est): $3,560