Joonas Nikunen

Signal Processing · 2014–2018

A researcher in the Science corpus: 2 papers; trusts 12 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Joonas Nikunen trusts overall

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

  1. Özgür Yilmaz
  2. Emmanuel Vincent
  3. Scott T. Rickard
  4. Rémi Gribonval
  5. Diederik P. Kingma
  6. Tuomas Virtanen
  7. Sergey Ioffe
  8. Cédric Févotte
  9. Daniel D. Lee
  10. B. Furnas

Who trusts Joonas Nikunen overall

  1. Tuomas Virtanen

Papers from Joonas Nikunen's perspective

Ordered by how strongly the researchers Joonas Nikunen 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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  3. Blind separation of speech mixtures via time-frequency masking (IEEE Transactions on Signal Processing)
  4. ImageNet classification with deep convolutional neural networks
  5. A Dataset and Taxonomy for Urban Sound Research
  6. Convolutional Recurrent Neural Networks for Polyphonic Sound Event Detection
  7. Acoustic event detection in real life recordings
  8. Robust Localization in Reverberant Rooms (Microphone Arrays)
  9. Gradient-based learning applied to document recognition
  10. Long Short-Term Memory

Their papers