Sheen Mclean Cabaneros

Environmental Engineering · 2019

A researcher in the Science corpus: 1 paper; trusts 16 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Sheen Mclean Cabaneros trusts overall

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

  1. Holger R. Maier
  2. Charles M. Bishop
  3. Tapio Schneider
  4. Graeme C. Dandy
  5. Antonella Plaia
  6. Arthur P. Dempster
  7. Spyros Makridakis
  8. Gavin J. Bowden
  9. Serena H. Chen
  10. Wenyan Wu

Who trusts Sheen Mclean Cabaneros overall

  1. Yingyi Chen
  2. Lihua Song

Papers from Sheen Mclean Cabaneros's perspective

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

  1. Ten iterative steps in development and evaluation of environmental models (Environmental Modelling & Software)
  2. HydroTest: A web-based toolbox of evaluation metrics for the standardised assessment of hydrological forecasts (Environmental Modelling & Software)
  3. Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper
  4. Methods used for the development of neural networks for the prediction of water resource variables in river systems: Current status and future directions (Environmental Modelling & Software)
  5. Multilayer feedforward networks are universal approximators
  6. Artificial neural networks (the multilayer perceptron)—a review of applications in the atmospheric sciences
  7. Illuminating the “black box”: a randomization approach for understanding variable contributions in artificial neural networks
  8. SMOTE: Synthetic Minority Over-sampling Technique
  9. Optimal division of data for neural network models in water resources applications
  10. Artificial Intelligence techniques: An introduction to their use for modelling environmental systems (Mathematics and Computers in Simulation)

Their papers