Stefano Vassanelli

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 72 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 51 citations into it
• Computer Vision and Pattern Recognition — 34 citations into it
• Molecular Biology — 27 citations into it
• Reinforcement Learning — 16 citations into it
• Cognitive Neuroscience — 15 citations into it
• Model Architectures — 11 citations into it
• Radiology, Nuclear Medicine and Imaging — 11 citations into it
• Computational Theory and Mathematics — 8 citations into it

Whom Stefano Vassanelli trusts overall

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

1. Geoffrey E. Hinton
2. Richard S. Sutton
3. Yoshua Bengio
4. Alex Krizhevsky
5. Diederik P. Kingma
6. Yann LeCun
7. J. Urgen Schmidhuber
8. Ilya Sutskever
9. Karen Simonyan
10. Ruslan Salakhutdinov

Papers from Stefano Vassanelli's perspective

Ordered by how strongly the researchers Stefano Vassanelli 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. Long Short-Term Memory
4. Gradient-based learning applied to document recognition
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Attention is All you Need (Neural Information Processing Systems)
7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
8. Going deeper with convolutions
9. ImageNet: A large-scale hierarchical image database
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Applications of Deep Learning and Reinforcement Learning to Biological Data (2017) — 707 citations