Arzu Erener

Management, Monitoring, Policy and Law · 2016

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Arzu Erener trusts overall

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

  1. Biswajeet Pradhan
  2. Isik Yilmaz
  3. Saro Lee
  4. Peter M. Atkinson
  5. Samo Drobne
  6. Debi Prasanna Kanungo
  7. Anka Lisec
  8. Saso Dzeroski
  9. Candan Gokceoglu
  10. Taskin Kavzoglu

Who trusts Arzu Erener overall

  1. Qiqing Wang
  2. Wenping Li

Papers from Arzu Erener's perspective

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

  1. Assessment of shallow landslide susceptibility using artificial neural networks in Jabonosa River Basin, Venezuela
  2. Landslide susceptibility assessment and factor effect analysis: backpropagation artificial neural networks and their comparison with frequency ratio and bivariate logistic regression modelling (Environmental Modelling & Software)
  3. The 17 March 2005 Kuzulu landslide (Sivas, Turkey) and landslide-susceptibility map of its near vicinity
  4. Landslide hazard evaluation: a review of current techniques and their application in a multi-scale study, Central Italy
  5. A comparative study of conventional, ANN black box, fuzzy and combined neural and fuzzy weighting procedures for landslide susceptibility zonation in Darjeeling Himalayas
  6. Landslide susceptibility mapping using frequency ratio, logistic regression, artificial neural networks and their comparison: A case study from Kat landslides (Tokat - Turkey) (Computational Geosciences)
  7. Generalised linear modelling of susceptibility to landsliding in the Central Apennines, Italy
  8. Delineation of landslide hazard areas on Penang Island, Malaysia, by using frequency ratio, logistic regression, and artificial neural network models
  9. Multi-attribute Decision Analysis in GIS: Weighted Linear Combination and Ordered Weighted Averaging (Informatica)
  10. Data Mining Concepts and Techniques

Their papers