Mohamed Benzeghiba

Artificial Intelligence · 2007–2014

A researcher in the Science corpus: 2 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Mohamed Benzeghiba trusts overall

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

  1. Richard P. Lippmann
  2. Hynek Hermansky
  3. Mark John Francis Gales
  4. Philip C. Woodland
  5. Andreas Stolcke
  6. Chris Leggetter
  7. Marco Loog
  8. Nelson Morgan
  9. Brian Kingsbury
  10. Alex Graves

Who trusts Mohamed Benzeghiba overall

  1. Tero Karras

Papers from Mohamed Benzeghiba's perspective

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

  1. Long Short-Term Memory
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. The Kaldi Speech Recognition Toolkit
  4. Curriculum learning
  5. Gradient-based learning applied to document recognition
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Connectionist temporal classification: labelling unsegmented sequence data with recurrent neural networks
  8. RASTA processing of speech
  9. ImageNet classification with deep convolutional neural networks
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers