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Found 3 papers, 1 papers with code
Efficient Speech Emotion Recognition Using Multi-Scale CNN and Attention
Emotion recognition from speech is a challenging task.
Active Learning for Segmentation Based on Bayesian Sample Queries
In an active learning framework of selecting informed samples for manual labeling, expert clinician time for manual annotation can be optimally utilized, enabling the establishment of large labeled datasets for machine learning.
Active Learning for Segmentation by Optimizing Content Information for Maximal Entropy
Segmentation is essential for medical image analysis tasks such as intervention planning, therapy guidance, diagnosis, treatment decisions.
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