Usa Wannasingha Humphries

Artificial Intelligence · 2024

A researcher in the Science corpus: 1 paper; trusts 17 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 16 citations into it
• Model Architectures — 14 citations into it
• Environmental Engineering — 9 citations into it
• Computer Vision and Pattern Recognition — 8 citations into it
• Water Science and Technology — 7 citations into it
• Signal Processing — 6 citations into it
• Electrical and Electronic Engineering — 5 citations into it
• Management Science and Operations Research — 5 citations into it

Whom Usa Wannasingha Humphries trusts overall

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

1. Jeffrey L. Elman
2. Sepp Hochreiter
3. Alex Graves
4. J. Urgen Schmidhuber
5. Yoshua Bengio
6. Weixin Luo
7. Rahim Barzegar
8. Hansika Hewamalage
9. Geoffrey E. Hinton
10. Ilya Sutskever

Papers from Usa Wannasingha Humphries's perspective

Ordered by how strongly the researchers Usa Wannasingha Humphries trusts endorse each paper. Same corpus, a different order for every researcher.

1. Long Short-Term Memory
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
7. Learning Multiple Layers of Features from Tiny Images
8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
9. ImageNet: A large-scale hierarchical image database
10. Going deeper with convolutions

Their papers

• A critical review of RNN and LSTM variants in hydrological time series predictions (2024) — 335 citations