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Found 3 papers, 1 papers with code
MANIFOLD FORESTS: CLOSING THE GAP ON NEURAL NETWORKS
In particular, DFs dominate other methods in tabular data, that is, when the feature space is unstructured, so that the signal is invariant to permuting feature indices.
Manifold Oblique Random Forests: Towards Closing the Gap on Convolutional Deep Networks
In particular, Forests dominate other methods in tabular data, that is, when the feature space is unstructured, so that the signal is invariant to a permutation of the feature indices.
A Community-Developed Open-Source Computational Ecosystem for Big Neuro Data
Big imaging data is becoming more prominent in brain sciences across spatiotemporal scales and phylogenies.
Neurons and Cognition Quantitative Methods
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