Yazeed Zoabi

npj Digital Medicine · 2021

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Yazeed Zoabi trusts overall

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

1. Scott M. Lundberg
2. Tianqi Chen
3. Garvesh Raskutti
4. Carlos Guestrin
5. Su-In Lee
6. Martin J. Wainwright
7. Bin Yu

Papers from Yazeed Zoabi's perspective

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

1. A Unified Approach to Interpreting Model Predictions
2. XGBoost: A Scalable Tree Boosting System
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. ImageNet classification with deep convolutional neural networks
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Rapid AI Development Cycle for the Coronavirus (COVID-19) Pandemic: Initial Results for Automated Detection & Patient Monitoring using Deep Learning CT Image Analysis (arXiv.org)
9. ImageNet Large Scale Visual Recognition Challenge
10. Early stopping for non-parametric regression: An optimal data-dependent stopping rule

Their papers

• Machine learning-based prediction of COVID-19 diagnosis based on symptoms (2021) — 431 citations