Salah Bouktif

Electrical and Electronic 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

• Electrical and Electronic Engineering — 16 citations into it
• Computer Vision and Pattern Recognition — 10 citations into it
• Artificial Intelligence — 9 citations into it
• Management Science and Operations Research — 6 citations into it

Whom Salah Bouktif trusts overall

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

1. Rafal Weron
2. Shu Fan
3. Zidan A. Bashir
4. Daniel L. Marino
5. Seunghyoung Ryu
6. David Ruppert
7. Elena Mocanu
8. Yoshua Bengio
9. Luis Hernández
10. Luonan Chen

Who trusts Salah Bouktif overall

1. Alberto Gasparin
2. Slobodan Lukovic

Papers from Salah Bouktif's perspective

Ordered by how strongly the researchers Salah Bouktif 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
7. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
8. Learning Multiple Layers of Features from Tiny Images
9. Deep Learning
10. ImageNet: A large-scale hierarchical image database

Their papers

• Optimal Deep Learning LSTM Model for Electric Load Forecasting using Feature Selection and Genetic Algorithm: Comparison with Machine Learning Approaches † (2018) — 845 citations