Nada Lavrac

Artificial Intelligence · 1997–2012

A researcher in the Science corpus: 6 papers; trusts 17 researchers and is trusted by 25 researchers here, as inferred from the citation graph.

Subfields

Whom Nada Lavrac trusts overall

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

  1. J. Ross Quinlan
  2. Peter Clark
  3. William W. Cohen
  4. Foster J. Provost
  5. Rakesh Agrawal
  6. Stephen D. Bay
  7. David J. Hand
  8. Roberto J. Bayardo Jr.
  9. Peter A. Flach
  10. Dieter Fox

Who trusts Nada Lavrac overall

  1. Petra Kralj Novak
  2. Ulrich Rückert
  3. Albrecht Zimmermann
  4. Tarek Abudawood
  5. Peter A. Flach
  6. Bing Liu
  7. Daniel Rodríguez
  8. Prithviraj Sen
  9. Stefan Kramer
  10. Luc De Raedt

Papers from Nada Lavrac's perspective

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

Their papers