Enrico Camporeale
Astronomy and Astrophysics · 2009–2019
A researcher in the Science corpus: 3 papers; trusts 108 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Astronomy and Astrophysics — 37 citations into it; #9,136 of 10,964 by trust here, #10,575 by citations
- Artificial Intelligence — 27 citations into it
- Geophysics — 19 citations into it
- Computer Vision and Pattern Recognition — 9 citations into it
- Model Architectures — 8 citations into it
- Molecular Biology — 8 citations into it; #13,448 of 17,773 by trust here, #16,854 by citations
- Statistical and Nonlinear Physics — 6 citations into it
- Statistics and Probability — 6 citations into it
Whom Enrico Camporeale trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Jeffrey L. Elman
- Sebastian Ruder
- Stephen A. Billings
- William Stafford Noble
- Sepp Hochreiter
- Robert Sullivan
- J. Urgen Schmidhuber
- Alex Krizhevsky
- Kevin P. Murphy
Who trusts Enrico Camporeale overall
Papers from Enrico Camporeale's perspective
Ordered by how strongly the researchers Enrico Camporeale 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)
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- ImageNet Large Scale Visual Recognition Challenge
- Learning Multiple Layers of Features from Tiny Images
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- Modeling radiation belt electron dynamics during GEM challenge intervals with the DREAM3D diffusion model (2013) — 149 citations
- The Challenge of Machine Learning in Space Weather: Nowcasting and Forecasting (2019) — 332 citations
- Numerical modeling of space plasma flows (2009) — 155 citations