Karl Sant Fournier

2017

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Whom Karl Sant Fournier trusts overall

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

1. Yichuan Tang
2. Xiao Ding

Who trusts Karl Sant Fournier overall

1. Omer Berat Sezer

Papers from Karl Sant Fournier's perspective

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

1. Deep Learning using Linear Support Vector Machines
2. Deep Learning for Event-Driven Stock Prediction
3. Attention is All you Need (Neural Information Processing Systems)
4. ImageNet classification with deep convolutional neural networks
5. Gradient-based learning applied to document recognition
6. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
7. Learning Multiple Layers of Features from Tiny Images
8. Long Short-Term Memory
9. Rectified Linear Units Improve Restricted Boltzmann Machines
10. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)

Their papers

• Financial Time Series Forecasting – A Deep Learning Approach (2017) — 103 citations