Alberto Gasparin

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 106 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 28 citations into it
• Artificial Intelligence — 25 citations into it
• Model Architectures — 22 citations into it
• Electrical and Electronic Engineering — 11 citations into it
• Natural Language Processing — 9 citations into it
• Signal Processing — 9 citations into it
• Optimization & Training — 8 citations into it
• Management Science and Operations Research — 7 citations into it

Whom Alberto Gasparin trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Yoshua Bengio
2. Ronald J. Williams
3. Geoffrey E. Hinton
4. Dzmitry Bahdanau
5. Ilya Sutskever
6. Alex Graves
7. Kyunghyun Cho
8. Kaiming He
9. J. Urgen Schmidhuber
10. Paul J. Werbos

Papers from Alberto Gasparin's perspective

Ordered by how strongly the researchers Alberto Gasparin trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Long Short-Term Memory
5. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Going deeper with convolutions
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Deep Learning for Time Series Forecasting: The Electric Load Case (2019) — 311 citations