Artificial neural networks

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Artificial neural networks

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Exploring neural networks and their potential for species distribution modeling

Neural ADMIXTURE for rapid genomic clustering

Bed Topography Inference from Velocity Field Using Deep Learning.

Regularization of polynomial networks for image recognition

Regularization of polynomial networks for image recognition

Bayes-optimal Learning of Deep Random Networks of Extensive-width

Learnable latent embeddings for joint behavioural and neural analysis

Dual-frequency spectral radar retrieval of snowfall microphysics: a physics-driven deep-learning approach

From Prediction to Prevention: Leveraging Deep Learning in Traffic Accident Prediction Systems

Backpropagation-free training of deep physical neural networks

Dual-frequency spectral radar retrieval of snowfall microphysics: a physics-driven deep-learning approach

Neural ADMIXTURE for rapid genomic clustering

Bayes-optimal Learning of Deep Random Networks of Extensive-width

Exploring neural networks and their potential for species distribution modeling

Regularization of polynomial networks for image recognition

Learnable latent embeddings for joint behavioural and neural analysis

Regularization of polynomial networks for image recognition

Bed Topography Inference from Velocity Field Using Deep Learning.

From Prediction to Prevention: Leveraging Deep Learning in Traffic Accident Prediction Systems

Backpropagation-free training of deep physical neural networks