Francesco Musumeci

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 Francesco Musumeci 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
6. Radford M. Neal
7. Nitish Srivastava
8. Andrew Barto
9. Rui M. Castro
10. Biswanath Mukherjee

Papers from Francesco Musumeci's perspective

Ordered by how strongly the researchers Francesco Musumeci 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. Reinforcement Learning: An Introduction
4. Gradient-based learning applied to document recognition
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Dropout: a simple way to prevent neural networks from overfitting
7. Attention is All you Need (Neural Information Processing Systems)
8. Long Short-Term Memory
9. Learning Multiple Layers of Features from Tiny Images
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

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