Mika Juuti

Artificial Intelligence · 2017–2018

A researcher in the Science corpus: 3 papers; trusts 54 researchers and is trusted by 33 researchers here, as inferred from the citation graph.

Subfields

Whom Mika Juuti trusts overall

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

  1. Alex Krizhevsky
  2. Yann LeCun
  3. Nicolas Papernot
  4. Ian J. Goodfellow
  5. Geoffrey E. Hinton
  6. Nicholas Carlini
  7. Yoshua Bengio
  8. Ilya Sutskever
  9. Alex Graves
  10. Christian Szegedy

Who trusts Mika Juuti overall

  1. Tribhuvanesh Orekondy
  2. Sameer Wagh
  3. Adam Dziedzic
  4. Bernt Schiele
  5. Maria Rigaki
  6. Fatemehsadat Mireshghallah
  7. David Stutz
  8. Steven Chen
  9. M. Sadegh Riazi
  10. Sebastian Szyller

Papers from Mika Juuti's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Gradient-based learning applied to document recognition
  5. Long Short-Term Memory
  6. Learning Multiple Layers of Features from Tiny Images
  7. Attention is All you Need (Neural Information Processing Systems)
  8. ImageNet: A large-scale hierarchical image database
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers