Shashank Tripathi

with Kadoury · 2016

A researcher in the Science corpus: 1 paper; trusts 0 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Papers from Shashank Tripathi's perspective

Ordered by how strongly the researchers Shashank Tripathi trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Neural Networks for Pattern Recognition
  2. A Bayesian model of shape and appearance for subcortical brain segmentation (NeuroImage)
  3. The Alzheimer's disease neuroimaging initiative (ADNI): MRI methods (Journal of Magnetic Resonance Imaging)
  4. Magnetic resonance imaging of the entorhinal cortex and hippocampus in mild cognitive impairment and Alzheimer's disease (Journal of Neurology Neurosurgery & Psychiatry)
  5. Dropout: a simple way to prevent neural networks from overfitting
  6. ImageNet classification with deep convolutional neural networks
  7. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  8. Learning Multiple Layers of Features from Tiny Images
  9. Rectified Linear Units Improve Restricted Boltzmann Machines
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers