Soukayna Mouatadid

Global and Planetary Change · 2019–2020

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

Subfields

• Global and Planetary Change — 27 citations into it
• Atmospheric Science — 21 citations into it

Whom Soukayna Mouatadid trusts overall

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

1. Alex Graves
2. Sepp Hochreiter
3. Geoffrey E. Hinton
4. Yoshua Bengio
5. G. Huang

Papers from Soukayna Mouatadid's perspective

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

1. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
2. ImageNet Large Scale Visual Recognition Challenge
3. Dropout: a simple way to prevent neural networks from overfitting
4. ImageNet classification with deep convolutional neural networks
5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Gradient-based learning applied to document recognition
8. Long Short-Term Memory
9. WaveNet: A Generative Model for Raw Audio
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• WeatherBench: A Benchmark Data Set for Data‐Driven Weather Forecasting (2020) — 725 citations
• Coupling the maximum overlap discrete wavelet transform and long short-term memory networks for irrigation flow forecasting (2019) — 97 citations