Sander Bockting

Artificial Intelligence · 2015

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 17 citations into it
• Information Systems — 16 citations into it
• Information Retrieval & Search — 10 citations into it

Whom Sander Bockting trusts overall

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

1. Cynthia Rudin
2. Stephen E. Robertson
3. Zhixiang Eddie Xu
4. Olivier Chapelle
5. Tie-Yan Liu

Who trusts Sander Bockting overall

1. Ruey-Cheng Chen

Papers from Sander Bockting's perspective

Ordered by how strongly the researchers Sander Bockting 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. Long Short-Term Memory
4. Gradient-based learning applied to document recognition
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Attention is All you Need (Neural Information Processing Systems)
7. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
8. Learning Multiple Layers of Features from Tiny Images
9. ImageNet: A large-scale hierarchical image database
10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers

• A cross-benchmark comparison of 87 learning to rank methods (2015) — 90 citations