Quan Zou
Molecular Biology · Frontiers in Genetics · 2011–2021
A researcher in the Science corpus: 8 papers; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 147 citations into it
- Artificial Intelligence — 13 citations into it
- Evaluation & Benchmarks — 7 citations into it
Whom Quan Zou trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Ron Kohavi
- Ji-Hyun Kim
- Christof Angermueller
- Kemal Polat
- Julien Mairal
- Trevor J. Hastie
- Yuan Zhou
- Kate D. Meyer
- J. Ross Quinlan
- Leo Breiman
Who trusts Quan Zou overall
Papers from Quan Zou's perspective
Ordered by how strongly the researchers Quan Zou trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Random Forests
- Gradient-based learning applied to document recognition
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Long Short-Term Memory
- Learning Multiple Layers of Features from Tiny Images
- ImageNet: A large-scale hierarchical image database
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Enhanced Protein Fold Prediction Method Through a Novel Feature Extraction Technique (2015) — 88 citations
- A comprehensive overview and evaluation of circular RNA detection tools (2017) — 320 citations
- Gene2vec: gene subsequence embedding for prediction of mammalian N6-methyladenosine sites from mRNA (2018) — 484 citations
- webTWAS: a resource for disease candidate susceptibility genes identified by transcriptome-wide association study (2021) — 337 citations
- Predicting Diabetes Mellitus With Machine Learning Techniques (2018) — 767 citations
- Tumor origin detection with tissue‐specific miRNA and DNA methylation markers (2018) — 315 citations
- Integrative approaches for predicting microRNA function and prioritizing disease-related microRNA using biological interaction networks (2016) — 317 citations
- Biological functions of microRNAs: a review (2011) — 652 citations