John P. Tiefenbacher

Global and Planetary Change · 2019–2020

A researcher in the Science corpus: 3 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom John P. Tiefenbacher trusts

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

  1. Biswajeet Pradhan (in Global and Planetary Change)
  2. Robert M. O’Brien (in Applied Mathematics)

Papers from John P. Tiefenbacher's perspective

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

  1. Data Mining Practical Machine Learning Tools and Techniques
  2. A comparative study on the predictive ability of the decision tree, support vector machine and neuro-fuzzy models in landslide susceptibility mapping using GIS (Computational Geosciences)
  3. Random Forests
  4. A Caution Regarding Rules of Thumb for Variance Inflation Factors
  5. Memorize or generalize? Searching for a compositional RNN in a haystack
  6. Arcing classifier (with discussion and a rejoinder by the author)
  7. Landslide susceptibility mapping using support vector machine and GIS at the Golestan Province, Iran (Proceedings of the Indian Academy of Sciences, Earth and Planetary Sciences)
  8. Bagging Predictors
  9. Support-Vector Networks
  10. Landslide susceptibility mapping using GIS-based multi-criteria decision analysis, support vector machines, and logistic regression (Landslides)

Their papers