Hichem Snoussi
Industrial and Manufacturing Engineering · 2017
A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Industrial and Manufacturing Engineering — 6 citations into it
- Computer Vision and Pattern Recognition — 5 citations into it
Whom Hichem Snoussi trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Hichem Snoussi's perspective
Ordered by how strongly the researchers Hichem Snoussi trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Dropout: a simple way to prevent neural networks from overfitting
- Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification
- You Only Look Once: Unified, Real-Time Object Detection
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Gradient-based learning applied to document recognition
- IoT-Based Intelligent Perception and Access of Manufacturing Resource Toward Cloud Manufacturing (IEEE Transactions on Industrial Informatics)
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)