Mika V. Mäntylä

Artificial Intelligence · 2015–2017

A researcher in the Science corpus: 3 papers; trusts 40 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Mika V. Mäntylä trusts overall

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

  1. Bo Pang
  2. Minqing Hu
  3. T. Griffiths
  4. Anne-Wil Harzing
  5. Bettina Grün
  6. Peter D. Turney
  7. Lillian Lee
  8. Casey Whitelaw
  9. Mike Thelwall
  10. Barbara A. Kitchenham

Who trusts Mika V. Mäntylä overall

  1. Ruggero Petrolito

Papers from Mika V. Mäntylä's perspective

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

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  3. ImageNet classification with deep convolutional neural networks
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Long Short-Term Memory
  6. Gradient-based learning applied to document recognition
  7. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  8. ImageNet: A large-scale hierarchical image database
  9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers