Cristina Rottondi

IEEE Communications Surveys and Tutorials · 2018

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

Whom Cristina Rottondi trusts overall

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

1. Geoffrey E. Hinton
2. Hirotugu Akaike
3. Richard S. Sutton
4. Ezra Ip
5. Hao Ye

Papers from Cristina Rottondi's perspective

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

1. Reinforcement Learning: An Introduction
2. Dropout: a simple way to prevent neural networks from overfitting
3. Pattern Recognition and Machine Learning
4. ImageNet classification with deep convolutional neural networks
5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
6. Gradient-based learning applied to document recognition
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Attention is All you Need (Neural Information Processing Systems)
9. Long Short-Term Memory
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• An Overview on Application of Machine Learning Techniques in Optical Networks (2018) — 530 citations