Ensemble deep learning models enhance early diagnosis of Alzheimer's disease using neuroimaging data
EDL combines the outputs of several machine learning (ML) models to enhance their generalization performance. The traditional approach to building an ensemble uses deep neural networks (DNNs) in a ...
The three-dimensional shape and conformation of small-molecule ligands are critical for biomolecular recognition, yet encoding 3D geometry has not improved ligand-based virtual screening approaches.
The recently published book Understanding Deep Learning by [Simon J. D. Prince] is notable not only for focusing primarily on the concepts behind Deep Learning — which should make it highly accessible ...
In neuroscience and medical research, artificial intelligence (AI) deep learning is increasingly being used as a potential biomarker for brain health. A new study by the Max Planck Institute for Human ...
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