Nataliia Kussul
Computer Vision and Pattern Recognition · 2017
A researcher in the Science corpus: 2 papers; trusts 4 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 11 citations into it
- Environmental Engineering — 8 citations into it
- Artificial Intelligence — 7 citations into it
Whom Nataliia Kussul trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Eric F. Vermote
- Jun Ding
- Radford M. Neal
- Jimmy Ba
- Wei Hu
- Geoffrey E. Hinton
- Fan Zhang
- Nick Littlestone
- Volodymyr Mnih
Who trusts Nataliia Kussul overall
- Abdulhakim M. Abdi
- Yuan Yuan
- Muhammad Hammad Saleem
- Michel Eustáquio Dantas Chaves
- Charlotte Pelletier
- Xiaohui Yuan
- M. Mohammadi
- Shunping Ji
- Xin-Yi Tong
- Xiaoxiang Zhu
Papers from Nataliia Kussul's perspective
Ordered by how strongly the researchers Nataliia Kussul trusts endorse each paper. Same corpus, a different order for every researcher.
- Adam: A Method for Stochastic Optimization (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
- Going deeper with convolutions
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)