Nikolai Sellereite

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 15 citations into it
• Accounting — 8 citations into it
• Finance — 5 citations into it
• Signal Processing — 5 citations into it

Whom Nikolai Sellereite trusts overall

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

1. David J. Hand
2. Lyn C. Thomas
3. Scott M. Lundberg
4. Iain Brown
5. Zhicheng Cui
6. Marco Tulio Ribeiro
7. Amir Ehsan Khandani
8. Avanti Shrikumar
9. Stefan Lessmann

Papers from Nikolai Sellereite's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
3. Dropout: a simple way to prevent neural networks from overfitting
4. Deep Learning
5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
6. Gradient-based learning applied to document recognition
7. Going deeper with convolutions
8. Long Short-Term Memory
9. Learning Multiple Layers of Features from Tiny Images
10. Association for Computational Linguistics " Why Should I Trust You? " Explaining the Predictions of Any Classifier

Their papers

• Predicting mortgage default using convolutional neural networks (2018) — 155 citations