Eric Monteiro

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 Eric Monteiro trusts overall

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

  1. G. De’ath
  2. S. Menard
  3. Cort J. Willmott
  4. Tianfeng Chai
  5. Yanru Zhang
  6. Jane Elith

Papers from Eric Monteiro's perspective

Ordered by how strongly the researchers Eric Monteiro 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. Artificial Neural Network Methods for the Solution of Second Order Boundary Value Problems (Computers Materials & Continua)
  6. Coefficients of Determination for Multiple Logistic Regression Analysis
  7. Ensemble boosted trees with synthetic features generation in application to bankruptcy prediction (Expert systems with applications)
  8. Prediction of Compressive Strength of Geopolymer Concrete Using Entirely Steel Slag Aggregates: Novel Hybrid Artificial Intelligence Approaches (Applied Sciences)
  9. Polymer Interface and Adhesion
  10. Boosted trees for ecological modeling and prediction. (Ecology)

Their papers