M. DeRousseau

Civil and Structural Engineering · 2018

A researcher in the Science corpus: 1 paper; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom M. DeRousseau trusts overall

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

  1. Leo Breiman
  2. I-Cheng Yeh
  3. Alfred Inselberg
  4. Jui-Sheng Chou
  5. Ilker Bekir Topcu
  6. Max Kuhn
  7. Bernhard E. Boser
  8. Mustafa Sarıdemir
  9. Kjell Johnson
  10. Wei-Yin Loh

Papers from M. DeRousseau's perspective

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

  1. Modeling of strength of high-performance concrete using artificial neural networks
  2. Bagging Predictors
  3. A training algorithm for optimal margin classifiers
  4. Prediction of elastic modulus of normal and high strength concrete by support vector machine
  5. No free lunch theorems for optimization
  6. Comparative environmental assessment of natural and recycled aggregate concrete. (Waste Management)
  7. Optimizing the Prediction Accuracy of Concrete Compressive Strength Based on a Comparison of Data-Mining Techniques (Journal of computing in civil engineering)
  8. Statistical Models: Theory and Practice: References
  9. NEURAL NETWORKS FOR PREDICTING PROPERTIES OF CONCRETES WITH ADMIXTURES
  10. Fifty Years of Classification and Regression Trees

Their papers