Hamdi Altaheri

Artificial Intelligence · 2021–2023

A researcher in the Science corpus: 2 papers; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 8 citations into it
• Model Architectures — 8 citations into it
• Computer Vision and Pattern Recognition — 6 citations into it

Whom Hamdi Altaheri trusts overall

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

1. Robert Leeb
2. Sergey Ioffe
3. Benjamin Blankertz
4. Dzmitry Bahdanau
5. Thang Luong
6. Clemens Brunner
7. Christian Szegedy
8. Yoshua Bengio
9. Kai Keng Ang
10. Ashish Vaswani

Papers from Hamdi Altaheri's perspective

Ordered by how strongly the researchers Hamdi Altaheri 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. Attention is All you Need (Neural Information Processing Systems)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. ImageNet: A large-scale hierarchical image database
6. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
7. Gradient-based learning applied to document recognition
8. Long Short-Term Memory
9. Going deeper with convolutions
10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers

• Physics-Informed Attention Temporal Convolutional Network for EEG-Based Motor Imagery Classification (2023) — 389 citations
• Deep learning techniques for classification of electroencephalogram (EEG) motor imagery (MI) signals: a review (2021) — 557 citations