Syed Tanzeel Rabani
International journal of information technology · 2020
A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Whom Syed Tanzeel Rabani trusts overall
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Who trusts Syed Tanzeel Rabani overall
Papers from Syed Tanzeel Rabani's perspective
Ordered by how strongly the researchers Syed Tanzeel Rabani 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
- Bagging Predictors
- Consistent Nonparametric Regression
- Game theory, on-line prediction and boosting
Their papers
- Machine learning based approaches for detecting COVID-19 using clinical text data (2020) — 297 citations