Daniel Barbará

Artificial Intelligence · 2001–2008

A researcher in the Science corpus: 4 papers; trusts 13 researchers and is trusted by 16 researchers here, as inferred from the citation graph.

Subfields

Whom Daniel Barbará trusts overall

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

  1. William W. Cohen
  2. Rakesh Agrawal
  3. David M. Blei
  4. T. Griffiths
  5. Xuerui Wang
  6. Tomasz Imielinski
  7. Claude E. Shannon
  8. Chong Wang
  9. Radford M. Neal
  10. Michael I. Jordan

Who trusts Daniel Barbará overall

  1. Varun Chandola
  2. Matthew V. Mahoney
  3. Jonathan J. Davis
  4. Mrutyunjaya Panda
  5. Levent Koc
  6. Aleksandar Lazarevic
  7. Vipin Kumar
  8. Arindam Banerjee
  9. Sandhya Peddabachigari
  10. Philip Ka-Fai Chan

Papers from Daniel Barbará's perspective

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

  1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Gradient-based learning applied to document recognition
  4. ImageNet classification with deep convolutional neural networks
  5. Latent Dirichlet Allocation
  6. Long Short-Term Memory
  7. ImageNet: A large-scale hierarchical image database
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Learning Multiple Layers of Features from Tiny Images
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers