Ibrahim Demir

Artificial Intelligence · with Xiang · 2020

A researcher in the Science corpus: 2 papers; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 26 citations into it
• Environmental Engineering — 16 citations into it
• Computer Vision and Pattern Recognition — 15 citations into it
• Model Architectures — 15 citations into it
• Water Science and Technology — 14 citations into it
• Global and Planetary Change — 10 citations into it
• Natural Language Processing — 6 citations into it

Whom Ibrahim Demir trusts overall

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

1. Ilya Sutskever
2. Geoffrey E. Hinton
3. Kyunghyun Cho
4. Yoshua Bengio

Papers from Ibrahim Demir's perspective

Ordered by how strongly the researchers Ibrahim Demir 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 classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Long Short-Term Memory
5. Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Gradient-based learning applied to document recognition
8. Attention is All you Need (Neural Information Processing Systems)
9. ImageNet: A large-scale hierarchical image database
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• A Rainfall‐Runoff Model With LSTM‐Based Sequence‐to‐Sequence Learning (2020) — 572 citations
• A Comprehensive Review of Deep Learning Applications in Hydrology and Water Resources (2020) — 485 citations