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Optimizing human-centered AI for healthcare in the Global South
Waking up to Marginalization: Public Value Failures in Artificial Intelligence and Data Science
Self-Supervised Approach to Addressing Zero-Shot Learning Problem
Tackling hard computational problems
When researchers don’t have the proteins they need, they can get AI to ‘hallucinate’ new structures
Seeing the plasma edge of fusion experiments in new ways with artificial intelligence
Integrating pathway knowledge with deep neural networks to reduce the dimensionality in single-cell RNA-seq data
Are We Learning Yet? A Meta Review of Evaluation Failures Across Machine Learning
Dense anomaly detection by robust learning on synthetic negative data
Dealing with Disagreements: Looking Beyond the Majority Vote in Subjective Annotations
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