Francesco Palmieri
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 Francesco Palmieri trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Francesco Palmieri overall
Papers from Francesco Palmieri's perspective
Ordered by how strongly the researchers Francesco Palmieri trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Learning Multiple Layers of Features from Tiny Images
- Learning Deep Architectures for AI
- Understanding the difficulty of training deep feedforward neural networks
- ImageNet: A large-scale hierarchical image database
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