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Found 4 papers, 1 papers with code
Energy landscape reveals the underlying mechanism of cancer-adipose conversion with gene network models
Our results revealed the underlying mechanism for intermediate cell states governing the CAC, and identified new potential drug combinations to induce cancer adipogenesis.
MLPSVM:A new parallel support vector machine to multi-label learning
The problem conversion method Binary Relevance converts a familiar single label into a multi-label algorithm.
ZerNet: Convolutional Neural Networks on Arbitrary Surfaces via Zernike Local Tangent Space Estimation
In this paper, we propose a novel formulation to extend CNNs to two-dimensional (2D) manifolds using orthogonal basis functions, called Zernike polynomials.
Wall Stress Estimation of Cerebral Aneurysm based on Zernike Convolutional Neural Networks
The problem is well-known to be of a paramount clinical importance, but yet, traditional ConvNets cannot be applied due to the manifold structure of the data, neither does the state-of-the-art geometric ConvNets perform well.
