Matteo Cognolato

Biomedical Engineering · 2016–2017

A researcher in the Science corpus: 2 papers; trusts 27 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Biomedical Engineering — 21 citations into it
• Cognitive Neuroscience — 20 citations into it
• Cellular and Molecular Neuroscience — 18 citations into it
• Computer Vision and Pattern Recognition — 11 citations into it
• Artificial Intelligence — 10 citations into it

Whom Matteo Cognolato trusts overall

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

1. Geoffrey E. Hinton
2. Yann LeCun
3. Kevin B. Englehart
4. George E. Dahl
5. Andrea Vedaldi
6. Alex Krizhevsky
7. Yoshua Bengio
8. Pierre Sermanet
9. Kaiming He
10. Trevor J. Hastie

Who trusts Matteo Cognolato overall

1. Dezhen Xiong
2. Xiaolong Zhai
3. Mufti Mahmud
4. Yu Du
5. U. Côté-Allard

Papers from Matteo Cognolato's perspective

Ordered by how strongly the researchers Matteo Cognolato 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. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. Going deeper with convolutions
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Deep Learning with Convolutional Neural Networks Applied to Electromyography Data: A Resource for the Classification of Movements for Prosthetic Hands (2016) — 582 citations
• Comparison of six electromyography acquisition setups on hand movement classification tasks (2017) — 414 citations