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Found 5 papers, 2 papers with code
Instance Segmentation of Microscopic Foraminifera
The model achieves a (COCO-style) average precision of $0. 78 \pm 0. 00$ on the classification and detection task, and $0. 80 \pm 0. 00$ on the segmentation task.
Data-Driven Robust Control Using Reinforcement Learning
The method extends the optimal reinforcement-learning algorithm with a new learning technique that is based on the robust control theory.
A bag-to-class divergence approach to multiple-instance learning
A different viewpoint is that the instances are realisations of random vectors with corresponding probability distribution, and that a bag is the distribution, not the realisations.
Comparison of computer systems and ranking criteria for automatic melanoma detection in dermoscopic images
A small set of similar classification algorithms are used to investigate the impact of classifier on the diagnostic accuracy.
On Data-Independent Properties for Density-Based Dissimilarity Measures in Hybrid Clustering
In such clustering, a dissimilarity measure plays a crucial role in the hierarchical merging.
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