Information about Test

  1. List of Protein subcellular localization prediction tools

    endomembrane system and secretory pathway proteins by Deep N-to-1 Convolutional Neural Networks". Bioinformatics (Oxford, England). doi:10.1093/bioinformatics/btaa156

  2. Parallel multidimensional digital signal processing

    Ieee, 2012. Singh, Deshanand. "Efficient Implementation of Convolutional Neural Networks Using OpenCL on FPGAs." Lecture, Embedded Vision Summit, Cali

  3. Hoshen–Kopelman algorithm

    algorithm for labeling clusters on a grid, where the grid is a regular network of cells, with the cells being either occupied or unoccupied. This algorithm

  4. Steven Batiste

    hospital to predict day 6 tissue damage in the brain using convolutional neural networks. A Team (1985, BBC Micro) — Programmer Conquest Earth (1997

  5. Cerebral cortex

    (plural cortices), also known as the cerebral mantle, is the outer layer of neural tissue of the cerebrum of the brain in humans and other mammals. The cerebral

  6. Marti Bonmati Luis

    segmentation on late phase MR images by using a Multi-Planar Convolutional Neural Network" (PDF). "New imaging techniques in the evaluation of joint cartilage"

  7. Machine learning in bioinformatics

    system called DeepCNF (deep convolutional neural fields) which relies on the machine learning model of artificial neural networks to achieve an accuracy of

  8. BigDL

    Artificial neural network Autoencoder Deep learning DeepDream Multilayer perceptron RNN LSTM GRU Restricted Boltzmann machine GAN SOM Convolutional neural network

  9. Functional magnetic resonance imaging

    properties of the default mode network (DMN), aka 'Resting State Network' (RSN), a functionally connected neural network of apparent 'brain states'. fMRI

  10. Georgios B. Giannakis

    adaptive diffusions that can outperform state-of-the-art graph convolutional neural networks. Giannakis and collaborators have also contributed to the resurgence