Heiko Paulheim

Artificial Intelligence · 2012–2016

A researcher in the Science corpus: 7 papers; trusts 143 researchers and is trusted by 36 researchers here, as inferred from the citation graph.

Subfields

Whom Heiko Paulheim trusts overall

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

  1. Christian Bizer
  2. D. Lenat
  3. Rfdo 2XWOLHUV
  4. J. Ross Quinlan
  5. William W. Cohen
  6. Fabian M. Suchanek
  7. Maximilian Nickel
  8. George A. Miller
  9. Johannes Fürnkranz
  10. John D. Lafferty

Who trusts Heiko Paulheim overall

  1. Petar Ristoski
  2. Shikhar Vashishth
  3. Gerben de Vries
  4. Dan Busbridge
  5. Mohamed H. Gad-Elrab
  6. Lingfeng Zhong
  7. Zequn Sun
  8. Michael Sejr Schlichtkrull
  9. Soumya Sanyal
  10. Azzurra Ragone

Papers from Heiko Paulheim's perspective

Ordered by how strongly the researchers Heiko Paulheim 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. ImageNet classification with deep convolutional neural networks
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Long Short-Term Memory
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  7. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  8. ImageNet: A large-scale hierarchical image database
  9. Distributed Representations of Words and Phrases and their Compositionality (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