Vipulkumar I. Patel
Civil and Structural Engineering · 2018–2021
A researcher in the Science corpus: 4 papers; trusts 3 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Civil and Structural Engineering — 40 citations into it
- Building and Construction — 37 citations into it; #2,310 of 2,909 by trust here, #1,905 by citations
Whom Vipulkumar I. Patel trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Vipulkumar I. Patel overall
Papers from Vipulkumar I. Patel's perspective
Ordered by how strongly the researchers Vipulkumar I. Patel trusts endorse each paper. Same corpus, a different order for every researcher.
- The Strength of Weak Learnability
- Greedy function approximation: A gradient boosting machine.
- Bagging Predictors
- Feature selection based on mutual information criteria of max-dependency, max-relevance, and min-redundancy
- Multiple Classifier Systems
- Machine learning-based compressive strength prediction for concrete: An adaptive boosting approach (Construction and Building Materials)
- CatBoost: unbiased boosting with categorical features (Neural Information Processing Systems)
- Axial performance of short concrete filled steel tubes with high- and ultra-high- strength materials
- The Nature of Statistical Learning Theory
- Bias, Variance , And Arcing Classifiers
Their papers
- Strength prediction of concrete-filled steel tubular columns using Categorical Gradient Boosting algorithm (2021) — 126 citations
- Application of ANN to the design of CFST columns (2020) — 75 citations
- Finite element analysis of large diameter high strength octagonal CFST short columns (2018) — 65 citations
- Elastic properties of 3D printed fibre-reinforced structures (2018) — 182 citations