Thomas H. Heaton

Artificial Intelligence · 2013–2018

A researcher in the Science corpus: 2 papers; trusts 6 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Thomas H. Heaton trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Diederik P. Kingma

Who trusts Thomas H. Heaton overall

  1. S. M. Mousavi
  2. Weiqiang Zhu

Papers from Thomas H. Heaton's perspective

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

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. Gradient-based learning applied to document recognition
  3. ImageNet classification with deep convolutional neural networks
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  6. Rectified Linear Units Improve Restricted Boltzmann Machines
  7. Deep Learning
  8. Convolutional neural network for earthquake detection and location (Science Advances)
  9. P Wave Arrival Picking and First‐Motion Polarity Determination With Deep Learning (Journal of Geophysical Research - Solid Earth)
  10. Source rupture processes of the foreshock and mainshock in the 2016 Kumamoto earthquake sequence estimated from the kinematic waveform inversion of strong motion data (Earth, Planets and Space)

Their papers