Marco Ruffini

IEEE Communications Surveys and Tutorials · 2018

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

Whom Marco Ruffini trusts

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

  1. Hirotugu Akaike (in Statistics and Probability)

Papers from Marco Ruffini's perspective

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

  1. Reinforcement Learning: An Introduction
  2. Dropout: a simple way to prevent neural networks from overfitting
  3. Pattern Recognition and Machine Learning
  4. Machine learning - a probabilistic perspective
  5. Power of Deep Learning for Channel Estimation and Signal Detection in OFDM Systems (IEEE Wireless Communications Letters)
  6. Compensation of Dispersion and Nonlinear Impairments Using Digital Backpropagation (Journal of Lightwave Technology)
  7. Unsupervised Learning
  8. Model‐based geostatistics
  9. Optical WDM Networks
  10. Traffic grooming in an optical WDM mesh network (ICC 2001. IEEE International Conference on Communications. Conference Record (Cat. No.01CH37240))

Their papers