Sparse Hierarchical Table Ensemble–A Deep Learning Alternative for Tabular Data
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3190537
Abstract: Deep learning for tabular data is drawing increasing attention, with recent work attempting to boost the accuracy of neuron-based networks. However, such deep learning models are deserted when computational capacity is low, as in Internet… read more here.
Keywords: tabular data; learning; sparse hierarchical; deep learning ... See more keywords
Sparse Hierarchical Representation Learning on Functional Brain Networks for Prediction of Autism Severity Levels
Sign Up to like & getrecommendations! Published in 2022 at "Frontiers in Neuroscience"
DOI: 10.3389/fnins.2022.935431
Abstract: Machine learning algorithms have been widely applied in diagnostic tools for autism spectrum disorder (ASD), revealing an altered brain connectivity. However, little is known about whether an magnetic resonance imaging (MRI)-based brain network is related… read more here.
Keywords: connectivity; severity levels; functional brain; brain ... See more keywords