Mario Frank

Information Systems · 2012–2013

A researcher in the Science corpus: 2 papers; trusts 9 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

Whom Mario Frank trusts overall

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

  1. Isabelle M Guyon
  2. Anil K. Jain
  3. Bernhard E. Boser
  4. Julian Fierrez
  5. George Danezis
  6. Eric Gilbert
  7. David J. Hand
  8. Prateek Mittal
  9. Jure Leskovec
  10. Andre´ Elisseeff

Who trusts Mario Frank overall

  1. Binghui Wang
  2. Neil Zhenqiang Gong
  3. Jinyuan Jia
  4. Vishal M. Patel
  5. Changchang Liu
  6. He Zhang
  7. Le Zhang
  8. Ramalingam Chellappa
  9. Minghong Fang
  10. Peng Gao

Papers from Mario Frank's perspective

Ordered by how strongly the researchers Mario Frank 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. ImageNet classification with deep convolutional neural networks
  3. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  4. Gradient-based learning applied to document recognition
  5. Going deeper with convolutions
  6. Emergence of Scaling in Random Networks
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. ImageNet: A large-scale hierarchical image database
  10. Long Short-Term Memory

Their papers