Duncan MacConnell

Signal Processing · 2017

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Duncan MacConnell trusts overall

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

  1. Justin Salamon
  2. Diederik P. Kingma
  3. Sergey Ioffe
  4. Juan Pablo Bello
  5. Annamaria Mesaros

Who trusts Duncan MacConnell overall

  1. Eduardo Fonseca
  2. Bongjun Kim
  3. Nicolas Turpault
  4. Scott Wisdom
  5. Brian McFee

Papers from Duncan MacConnell's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  3. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  4. Best practices for convolutional neural networks applied to visual document analysis
  5. Gradient-based learning applied to document recognition
  6. A Dataset and Taxonomy for Urban Sound Research
  7. Scikit-learn: Machine Learning in Python
  8. Convolutional Recurrent Neural Networks for Polyphonic Sound Event Detection
  9. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  10. Metrics for Polyphonic Sound Event Detection

Their papers