Elnaz Lashgari

Cognitive Neuroscience · 2020

A researcher in the Science corpus: 1 paper; trusts 13 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Cognitive Neuroscience — 20 citations into it
• Artificial Intelligence — 16 citations into it
• Computer Vision and Pattern Recognition — 15 citations into it
• Generative Models — 8 citations into it
• Experimental and Cognitive Psychology — 6 citations into it
• Optimization & Training — 6 citations into it

Whom Elnaz Lashgari trusts overall

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

1. Diederik P. Kingma
2. Nathalie Japkowicz
3. Geoffrey E. Hinton
4. Yann LeCun
5. Alex Krizhevsky
6. Wei-Long Zheng
7. Yoshua Bengio
8. Max Welling
9. Nitish Srivastava
10. Antreas Antoniou

Who trusts Elnaz Lashgari overall

1. Guillermo Alonso Iglesias
2. Hamdi Altaheri
3. Edgar Talavera

Papers from Elnaz Lashgari's perspective

Ordered by how strongly the researchers Elnaz Lashgari 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. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. ImageNet Large Scale Visual Recognition Challenge
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Data Augmentation for Deep-Learning-Based Electroencephalography. (2020) — 351 citations