Niek Tax

Artificial Intelligence · 2015–2016

A researcher in the Science corpus: 2 papers; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 23 citations into it
• Information Systems — 18 citations into it
• Information Retrieval & Search — 10 citations into it

Whom Niek Tax trusts overall

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

1. Cynthia Rudin
2. Stephen E. Robertson
3. Tomas Mikolov
4. Geoffrey E. Hinton
5. Olivier Chapelle
6. Zhixiang Eddie Xu
7. Diederik P. Kingma
8. Ilya Sutskever
9. Yoshua Bengio
10. Wil M.P. van der Aalst

Who trusts Niek Tax overall

1. Ruey-Cheng Chen
2. Luke Gallagher

Papers from Niek Tax's perspective

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

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

Their papers

• Predictive Business Process Monitoring with LSTM Neural Networks (2016) — 538 citations
• A cross-benchmark comparison of 87 learning to rank methods (2015) — 90 citations