N. Rouf
International journal of information technology · 2017–2020
A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Whom N. Rouf trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from N. Rouf's perspective
Ordered by how strongly the researchers N. Rouf trusts endorse each paper. Same corpus, a different order for every researcher.
- Stochastic gradient boosting
- Towards an Artificial Intelligence Framework for Data-Driven Prediction of Coronavirus Clinical Severity
- Epidemiological and clinical characteristics of 99 cases of 2019 novel coronavirus pneumonia in Wuhan, China: a descriptive study (The Lancet)
- A new coronavirus associated with human respiratory disease in China (Nature)
- Mapping the Landscape of Artificial Intelligence Applications against COVID-19 (Journal of Artificial Intelligence Research)
- Random Forests
- The Nature of Statistical Learning Theory
- Consistent Nonparametric Regression
- Bagging Predictors
- Regression Shrinkage and Selection via the Lasso
Their papers
- Machine learning based approaches for detecting COVID-19 using clinical text data (2020) — 297 citations
- The large enriched germanium experiment for neutrinoless double beta decay (LEGEND) (2017) — 257 citations