Islem Rekik
Artificial Intelligence · 2017–2023
A researcher in the Science corpus: 4 papers; trusts 27 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 94 citations into it
- Computer Vision and Pattern Recognition — 78 citations into it; #20,034 of 21,575 by trust here, #20,756 by citations
- Radiology, Nuclear Medicine and Imaging — 65 citations into it
- Cognitive Neuroscience — 19 citations into it
- Graph Learning — 9 citations into it
Whom Islem Rekik trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Bruce Fischl
- Alex Krizhevsky
- Geoffrey E. Hinton
- Yoshua Bengio
- Thomas Kipf
- Diederik P. Kingma
- Ilya Sutskever
- Kaiming He
- Max Welling
- Alec Radford
Who trusts Islem Rekik overall
Papers from Islem Rekik's perspective
Ordered by how strongly the researchers Islem Rekik trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Attention is All you Need (Neural Information Processing Systems)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- GENERATIVE ADVERSARIAL NETS
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- FUTURE-AI: international consensus guideline for trustworthy and deployable artificial intelligence in healthcare (2023) — 491 citations
- Transformers in Medical Image Analysis: A Review (2022) — 401 citations
- Graph Neural Networks in Network Neuroscience (2021) — 313 citations
- 7T-guided super-resolution of 3T MRI (2017) — 57 citations