Aniello Castiglione

Artificial Intelligence · 2013–2019

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 — 7 citations into it

Whom Aniello Castiglione trusts overall

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

1. Geoffrey E. Hinton
2. Yoshua Bengio
3. Hugo Larochelle

Papers from Aniello Castiglione's perspective

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

1. Learning Deep Architectures for AI
2. ImageNet classification with deep convolutional neural networks
3. Understanding the difficulty of training deep feedforward neural networks
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Gradient-based learning applied to document recognition
6. Learning representations by back-propagating errors
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Attention is All you Need (Neural Information Processing Systems)
9. Learning Multiple Layers of Features from Tiny Images
10. Pattern Recognition and Machine Learning

Their papers

• Data fusion technique in SPIDER Peer-to-Peer networks in smart cities for security enhancements (2019) — 11 citations
• Network anomaly detection with the restricted Boltzmann machine (2013) — 375 citations