S. Pizzolato
PLoS ONE · 2017
A researcher in the Science corpus: 1 paper; trusts 0 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Whom S. Pizzolato trusts overall
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Who trusts S. Pizzolato overall
Papers from S. Pizzolato's perspective
Ordered by how strongly the researchers S. Pizzolato trusts endorse each paper. Same corpus, a different order for every researcher.
- A robust, real-time control scheme for multifunction myoelectric control (IEEE Transactions on Biomedical Engineering)
- What Does Classifying More Than 10, 000 Image Categories Tell Us? (European Conference on Computer Vision)
- Pascal Visual Object Classes Challenge Results
- An Introduction to Support Vector Machines and Other Kernel-Based Learning Methods
- Electromyography data for non-invasive naturally-controlled robotic hand prostheses (Scientific Data)
- Deep Learning with Convolutional Neural Networks Applied to Electromyography Data: A Resource for the Classification of Movements for Prosthetic Hands (Front. Neurorobot.)
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
Their papers
- Comparison of six electromyography acquisition setups on hand movement classification tasks (2017) — 414 citations