Akib Mohi Ud Din Khanday
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 Akib Mohi Ud Din Khanday trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Akib Mohi Ud Din Khanday overall
Papers from Akib Mohi Ud Din Khanday's perspective
Ordered by how strongly the researchers Akib Mohi Ud Din Khanday 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
- Regression Shrinkage and Selection via the Lasso
- Consistent Nonparametric Regression
Their papers
- Machine learning based approaches for detecting COVID-19 using clinical text data (2020) — 297 citations