Abstract: Hyperparameter optimization on Machine Learning models is crucial for their correct refinement. For complex big models (such as Deep Learning models), in which a single training model is ...
Abstract: The article discusses the development and study of a new matrix-based hybrid genetic algorithm (MBHGA) for solving an agent-based model of firms’ behavior with controlled trade interactions.
Automated cyst segmentation and counting pipeline for polycystic kidney disease µCT scans, using nnUNet and distance-transform peak detection with genetic algorithm parameter optimization.
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