Benoit Gosselin

Biomedical Engineering · 2018

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Biomedical Engineering — 18 citations into it
• Artificial Intelligence — 16 citations into it
• Cognitive Neuroscience — 11 citations into it
• Cellular and Molecular Neuroscience — 9 citations into it

Whom Benoit Gosselin trusts

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

1. Zoubin Ghahramani (in Artificial Intelligence)
2. Yarin Gal (in Artificial Intelligence)
3. Jaka Demsar (in Evaluation & Benchmarks)
4. Paul S. Addison (in Cardiology and Cardiovascular Medicine)
5. Kevin B. Englehart (in Biomedical Engineering)
6. B. Hudgins (in Biomedical Engineering)

Papers from Benoit Gosselin's perspective

Ordered by how strongly the researchers Benoit Gosselin 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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
4. Dropout: a simple way to prevent neural networks from overfitting
5. Deep Learning
6. Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification
7. Large-Scale Video Classification with Convolutional Neural Networks
8. Scikit-learn: Machine Learning in Python
9. How transferable are features in deep neural networks?
10. Progressive Neural Networks

Their papers

• Deep Learning for Electromyographic Hand Gesture Signal Classification Using Transfer Learning (2018) — 663 citations