Search Results for author:
Found 3 papers, 1 papers with code
Clustering with Tangles: Algorithmic Framework and Theoretical Guarantees
Given a collection of cuts of any dataset, tangles aggregate these cuts to point in the direction of a dense structure.
Convolutional neural networks for structured omics: OmicsCNN and the OmicsConv layer
Convolutional Neural Networks (CNNs) are a popular deep learning architecture widely applied in different domains, in particular in classifying over images, for which the concept of convolution with a filter comes naturally.
Phylogenetic Convolutional Neural Networks in Metagenomics
We introduce here Ph-CNN, a novel deep learning architecture for the classification of metagenomics data based on the Convolutional Neural Networks, with the patristic distance defined on the phylogenetic tree being used as the proximity measure.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
