J. Mohd-Yusof
Artificial Intelligence · 2000–2019
A researcher in the Science corpus: 3 papers; trusts 5 researchers and is trusted by 21 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 24 citations into it
- Computer Vision and Pattern Recognition — 14 citations into it
Whom J. Mohd-Yusof trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts J. Mohd-Yusof overall
Papers from J. Mohd-Yusof's perspective
Ordered by how strongly the researchers J. Mohd-Yusof trusts endorse each paper. Same corpus, a different order for every researcher.
- Learning Multiple Layers of Features from Tiny Images
- ImageNet: A large-scale hierarchical image database
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Intriguing properties of neural networks
- Attention is All you Need (Neural Information Processing Systems)
Their papers
- Combating Label Noise in Deep Learning Using Abstention (2019) — 196 citations
- Large Eddy Simulation in Complex Geometric Configurations Using Boundary Body Forces (2000) — 188 citations
- Combined Immersed-Boundary Finite-Difference Methods for Three-Dimensional Complex Flow Simulations (2000) — 1,921 citations