Abeer Alsadoon

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 29 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 61 citations into it
• Natural Language Processing — 27 citations into it
• Model Architectures — 8 citations into it

Whom Abeer Alsadoon trusts overall

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

1. Yoshua Bengio
2. Geoffrey E. Hinton
3. Kyunghyun Cho
4. Tomas Mikolov
5. Alex Graves
6. Richard Socher
7. Dzmitry Bahdanau
8. Jeffrey L. Elman
9. Ilya Sutskever
10. Yoon Kim

Papers from Abeer Alsadoon's perspective

Ordered by how strongly the researchers Abeer Alsadoon 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. Long Short-Term Memory
4. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
5. Attention is All you Need (Neural Information Processing Systems)
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Gradient-based learning applied to document recognition
8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
9. Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation
10. ImageNet: A large-scale hierarchical image database

Their papers

• Deep Learning for Aspect-Based Sentiment Analysis: A Comparative Review (2019) — 611 citations