Zong-Ming Zhang
Health Informatics · 2023
A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Health Informatics — 18 citations into it
- Artificial Intelligence — 17 citations into it
- Safety Research — 6 citations into it
- Safety, Robustness & Interpretability — 6 citations into it
Whom Zong-Ming Zhang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Zong-Ming Zhang overall
Papers from Zong-Ming Zhang's perspective
Ordered by how strongly the researchers Zong-Ming Zhang trusts endorse each paper. Same corpus, a different order for every researcher.
- Dermatologist-level classification of skin cancer with deep neural networks
- Mastering the game of Go without human knowledge
- Peeking Inside the Black-Box: A Survey on Explainable Artificial Intelligence (XAI)
- How the machine ‘thinks’: Understanding opacity in machine learning algorithms
- Clinical applications of machine learning algorithms: beyond the black box (British medical journal)
- What do we need to build explainable AI systems for the medical domain?
- Computer knows best? The need for value-flexibility in medical AI
- Adversarial attacks on medical machine learning (Science)
- Implementing Machine Learning in Health Care — Addressing Ethical Challenges
- Semi-supervised Knowledge Transfer for Deep Learning from Private Training Data (International Conference on Learning Representations)
Their papers
- Ethics and governance of trustworthy medical artificial intelligence (2023) — 389 citations