Hoa T M Tran

Genome Biology · 2020

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Hoa T M Tran trusts overall

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

1. Peter J. Rousseeuw
2. Ian T. Jolliffe
3. Aaron T. L. Lun
4. L. V. D. van der Maaten
5. Gordon K. Smyth
6. F. Alexander Wolf
7. Leland McInnes
8. Andrew W. Butler
9. Geoffrey E. Hinton
10. W. Johnson

Who trusts Hoa T M Tran overall

1. Huan Fu
2. Lukas Heumos

Papers from Hoa T M Tran's perspective

Ordered by how strongly the researchers Hoa T M Tran trusts endorse each paper. Same corpus, a different order for every researcher.

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

Their papers

• A benchmark of batch-effect correction methods for single-cell RNA sequencing data (2020) — 985 citations