Fouzi Harrou

Artificial Intelligence · 2020

A researcher in the Science corpus: 2 papers; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 12 citations into it
• Natural Language Processing — 7 citations into it
• Model Architectures — 6 citations into it

Whom Fouzi Harrou trusts overall

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

1. Alex Graves
2. Jerome H. Friedman
3. Leo Breiman
4. Mike Schuster
5. Resul Das
6. Sergey Ioffe
7. Geoffrey E. Hinton
8. Peter Buhlmann
9. Trevor J. Hastie
10. Yoshua Bengio

Papers from Fouzi Harrou's perspective

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

1. Long Short-Term Memory
2. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
3. ImageNet classification with deep convolutional neural networks
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Gradient-based learning applied to document recognition
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Attention is All you Need (Neural Information Processing Systems)
8. Stochastic Backpropagation and Approximate Inference in Deep Generative Models
9. Learning Multiple Layers of Features from Tiny Images
10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers

• Early Detection of Parkinson’s Disease Using Deep Learning and Machine Learning (2020) — 298 citations
• Deep learning methods for forecasting COVID-19 time-Series data: A Comparative study (2020) — 457 citations