A. Burgun
Cancer Letters · 2016
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 A. Burgun trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from A. Burgun's perspective
Ordered by how strongly the researchers A. Burgun trusts endorse each paper. Same corpus, a different order for every researcher.
- Estimation of Dependences Based on Empirical Data
- Securing Personal Health Records in Cloud Computing: Patient-Centric and Fine-Grained Data Access Control in Multi-owner Settings (Security and Privacy in Communication Networks)
- Large-scale deep unsupervised learning using graphics processors
- Class prediction and discovery using gene microarray and proteomics mass spectroscopy data: curses, caveats, cautions (Bioinform.)
- Improved Survival with Ipilimumab in Patients with Metastatic Melanoma (New England Journal of Medicine)
- Parallel Distributed Processing: Explorations in the Micro-structure of Cognition
- Machine learning applications in cancer prognosis and prediction
- Induction of decision trees
- Wrappers for Feature Subset Selection
- Gradient-based learning applied to document recognition
Their papers
- Big Data and machine learning in radiation oncology: State of the art and future prospects. (2016) — 307 citations