Chongchong Qi
Civil and Structural Engineering · 2018–2021
A researcher in the Science corpus: 5 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Civil and Structural Engineering — 34 citations into it
Whom Chongchong Qi trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Chongchong Qi's perspective
Ordered by how strongly the researchers Chongchong Qi trusts endorse each paper. Same corpus, a different order for every researcher.
- Genetic Algorithms in Search Optimization and Machine Learning
- Predicting standard penetration test N-value from cone penetration test data using artificial neural networks
- Bagging Predictors
- An Empirical Comparison of Voting Classification Algorithms: Bagging, Boosting, and Variants
- The Nature of Statistical Learning Theory
- Experiments with a New Boosting Algorithm
- Regression Shrinkage and Selection via the Lasso
- Boosting the margin: A new explanation for the effectiveness of voting methods
- An Introduction to Variable and Feature Selection
- Regularization Paths for Generalized Linear Models via Coordinate Descent
Their papers
- Co-disposal of magnesium slag and high-calcium fly ash as cementitious materials in backfill (2021) — 145 citations
- Machine learning-based prediction of soil compression modulus with application of 1D settlement (2020) — 47 citations
- Constitutive modelling of cemented paste backfill: A data-mining approach (2019) — 78 citations
- Experimental investigation on the relationship between pore characteristics and unconfined compressive strength of cemented paste backfill (2018) — 213 citations
- Prediction of open stope hangingwall stability using random forests (2018) — 82 citations