Victor-Emil Neagoe

2018

A researcher in the Science corpus: 1 paper; trusts 10 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Whom Victor-Emil Neagoe trusts overall

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

  1. Radford M. Neal
  2. David E. Rumelhart
  3. N. Schraudolph
  4. Wei-Yang Lin
  5. Geoffrey E. Hinton
  6. Jin Yu
  7. Ya-Han Hu
  8. Ronald J. Williams
  9. Joshua Patterson

Who trusts Victor-Emil Neagoe overall

  1. A. Ozbayoglu
  2. M. Ugur Gudelek

Papers from Victor-Emil Neagoe's perspective

Ordered by how strongly the researchers Victor-Emil Neagoe trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Learning internal representations by error propagation
  2. Deep Learning
  3. Pattern Recognition and Machine Learning
  4. A Stochastic Quasi-Newton Method for Online Convex Optimization
  5. Understanding Machine Learning From Theory to Algorithms 1st Edition Shwartz Solutions Manual
  6. Machine Learning in Financial Crisis Prediction: A Survey
  7. Deep Learning: A Practitioner's Approach
  8. Long Short-Term Memory
  9. ImageNet classification with deep convolutional neural networks
  10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers