Ugo Fiore

Artificial Intelligence · 2013–2017

A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 22 citations into it
• Computer Vision and Pattern Recognition — 9 citations into it

Whom Ugo Fiore trusts overall

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

1. Geoffrey E. Hinton
2. Yoshua Bengio
3. Hugo Larochelle
4. Radford M. Neal
5. Varun Chandola
6. Xavier Glorot
7. David E. Rumelhart
8. Alex Krizhevsky
9. Yann LeCun
10. Ruslan Salakhutdinov

Who trusts Ugo Fiore overall

1. Qian Mao
2. Nasrin Sultana
3. Mohamed Amine Ferrag
4. Javed Asharf
5. Laura Erhan
6. Fei Hu
7. Naveen K. Chilamkurti
8. Leandros A. Maglaras
9. Quamar Niyaz

Papers from Ugo Fiore's perspective

Ordered by how strongly the researchers Ugo Fiore 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
7. Learning Multiple Layers of Features from Tiny Images
8. ImageNet: A large-scale hierarchical image database
9. ImageNet Large Scale Visual Recognition Challenge
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Using generative adversarial networks for improving classification effectiveness in credit card fraud detection (2017) — 532 citations
• Network anomaly detection with the restricted Boltzmann machine (2013) — 375 citations