Kamel Boukhalfa
Artificial Intelligence · 2017
A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 6 citations into it
- Computer Vision and Pattern Recognition — 5 citations into it
Whom Kamel Boukhalfa trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Kamel Boukhalfa overall
Papers from Kamel Boukhalfa's perspective
Ordered by how strongly the researchers Kamel Boukhalfa trusts endorse each paper. Same corpus, a different order for every researcher.
- Going deeper with convolutions
- ImageNet classification with deep convolutional neural networks
- Visualizing and Understanding Convolutional Networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Gradient-based learning applied to document recognition
- Deep Learning
- Learning Multiple Layers of Features from Tiny Images
- Network In Network
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
Their papers
- Deep Learning for Tomato Diseases: Classification and Symptoms Visualization (2017) — 832 citations