Manfredo Atzori
Biomedical Engineering · 2014–2017
A researcher in the Science corpus: 3 papers; trusts 27 researchers and is trusted by 4 researchers here, as inferred from the citation graph.
Subfields
- Biomedical Engineering — 25 citations into it; #6,341 of 10,734 by trust here, #6,455 by citations
- Cognitive Neuroscience — 24 citations into it
- Cellular and Molecular Neuroscience — 20 citations into it
- Computer Vision and Pattern Recognition — 12 citations into it
- Artificial Intelligence — 11 citations into it
Whom Manfredo Atzori trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Yann LeCun
- Kevin B. Englehart
- George E. Dahl
- Andrea Vedaldi
- Alex Krizhevsky
- Trevor J. Hastie
- Pierre Sermanet
- Yoshua Bengio
- Kaiming He
Who trusts Manfredo Atzori overall
- Xiaolong Zhai
- Yu Du
- Dezhen Xiong
- Mufti Mahmud
- Angkoon Phinyomark
- U. Côté-Allard
- Beth Jelfs
- S. Pizzolato
- Wenguang Jin
- Matteo Cognolato
Papers from Manfredo Atzori's perspective
Ordered by how strongly the researchers Manfredo Atzori 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)
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Going deeper with convolutions
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
- Electromyography data for non-invasive naturally-controlled robotic hand prostheses (2014) — 915 citations
- Comparison of six electromyography acquisition setups on hand movement classification tasks (2017) — 414 citations