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Neural Networks
Accurate prediction of clinical stroke scales and improved biomarkers of motor impairment from robotic measurements
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Year: 2021
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Machine learning for buildings’ characterization and power-law recovery of urban metrics
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Year: 2021
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Evaluating Deep Learning models for predicting ALK-5 inhibition
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Year: 2021
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Recognition of industrial machine parts based on transfer learning with convolutional neural network
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Year: 2021
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Randomly connected networks generate emergent selectivity and predict decoding properties of large populations of neurons
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Year: 2020
Pages: 1
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