Shaeela Ayesha

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 16 citations into it
• Computer Vision and Pattern Recognition — 15 citations into it
• Analytical Chemistry — 12 citations into it
• Representation & Self-Supervised Learning — 10 citations into it
• Statistics and Probability — 8 citations into it

Whom Shaeela Ayesha trusts overall

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

1. Geoffrey E. Hinton
2. B. G
3. Ella Bingham
4. Manli Zhu
5. Hui Zou
6. Sam T. Roweis
7. Teuvo Kohonen
8. Trevor J. Hastie
9. A. F
10. Heikki Mannila

Papers from Shaeela Ayesha's perspective

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

Their papers

• Overview and comparative study of dimensionality reduction techniques for high dimensional data (2020) — 505 citations