Luiza Sayfullina

Information Systems · 2015

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Information Systems — 5 citations into it

Whom Luiza Sayfullina trusts overall

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

1. J. Ross Quinlan
2. David Barber
3. Kevin P. Murphy
4. Chengxiang Zhai
5. Ekta Gandotra
6. Jason D. M. Rennie
7. Mu Zhang
8. John D. Lafferty
9. Justin Sahs

Papers from Luiza Sayfullina's perspective

Ordered by how strongly the researchers Luiza Sayfullina 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. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Gradient-based learning applied to document recognition
5. Long Short-Term Memory
6. Learning Multiple Layers of Features from Tiny Images
7. Attention is All you Need (Neural Information Processing Systems)
8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
9. ImageNet: A large-scale hierarchical image database
10. Going deeper with convolutions

Their papers

• Efficient Detection of Zero-day Android Malware Using Normalized Bernoulli Naive Bayes (2015) — 33 citations