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On the performance of deep learning for numerical optimization: an application to protein structure prediction
Deep neural networks have recently drawn considerable attention to build and evaluate artificial learning models for perceptual tasks.
From feature selection to continuous optimization
Metaheuristic algorithms (MAs) have seen unprecedented growth thanks to their successful applications in fields including engineering and health sciences.
Automatic hyperparameter selection in Autodock
Autodock is a widely used molecular modeling tool which predicts how small molecules bind to a receptor of known 3D structure.
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