Shane O'Sullivan
Artificial Intelligence · 2017–2019
A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 12 citations into it
Whom Shane O'Sullivan trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Shane O'Sullivan overall
Papers from Shane O'Sullivan's perspective
Ordered by how strongly the researchers Shane O'Sullivan trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Learning
- Evolution of autonomous and semi‐autonomous robotic surgical systems: a review of the literature (The international journal of medical robotics + computer assisted surgery : MRCAS)
- Large Scale Multiple Kernel Learning
- Transparent, explainable, and accountable AI for robotics
- Predicting hepatitis B virus–positive metastatic hepatocellular carcinomas using gene expression profiling and supervised machine learning (Nature Medicine)
- A glass-box interactive machine learning approach for solving NP-hard problems with the human-in-the-loop
- Moral Machines: Teaching Robots Right from Wrong
- Robot Ethics: The Ethical and Social Implications of Robotics
- The responsibility gap: Ascribing responsibility for the actions of learning automata (Ethics and Information Technology)
- Robotic Surgery: A Current Perspective
Their papers
- Legal, regulatory, and ethical frameworks for development of standards in artificial intelligence (AI) and autonomous robotic surgery (2019) — 336 citations
- Machine learning enhanced virtual autopsy (2017) — 33 citations