Vuong Minh Le

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Vuong Minh Le trusts

Their strongest outbound trust, strongest first, inferred from their citations.

  1. G. De’ath (in Nature and Landscape Conservation)
  2. S. Menard (in Economics and Econometrics)

Papers from Vuong Minh Le's perspective

Ordered by how strongly the researchers Vuong Minh Le trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Advantages of the mean absolute error (MAE) over the root mean square error (RMSE) in assessing average model performance
  2. The Elements of Statistical Learning: Data Mining, Inference, and Prediction
  3. A working guide to boosted regression trees.
  4. Root mean square error (RMSE) or mean absolute error (MAE)? – Arguments against avoiding RMSE in the literature
  5. Ensemble boosted trees with synthetic features generation in application to bankruptcy prediction (Expert systems with applications)
  6. Prediction of Compressive Strength of Geopolymer Concrete Using Entirely Steel Slag Aggregates: Novel Hybrid Artificial Intelligence Approaches (Applied Sciences)
  7. Polymer Interface and Adhesion
  8. Coefficients of Determination for Multiple Logistic Regression Analysis
  9. Boosted trees for ecological modeling and prediction. (Ecology)
  10. Using methods from the data mining and machine learning literature for disease classification and prediction: A case study examining classification of heart failure sub-types (Journal of Clinical Epidemiology)

Their papers