Paraskevas Tsangaratos

Management, Monitoring, Policy and Law · 2016

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Paraskevas Tsangaratos trusts overall

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

  1. Biswajeet Pradhan
  2. Saro Lee
  3. D. Tien Bui
  4. Candan Gokceoglu
  5. Hakan Ahmet Nefeslioglu
  6. Alexander Brenning
  7. Bakhtiar Feizizadeh

Who trusts Paraskevas Tsangaratos overall

  1. Binh Thai Pham
  2. Wei Chen
  3. Xianda Feng
  4. Hamid Reza Pourghasemi
  5. Indra Prakash
  6. Shuchen Li
  7. D. Tien Bui
  8. Khabat Khosravi
  9. Abolfazl Jaafari

Papers from Paraskevas Tsangaratos's perspective

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

  1. 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)
  2. Assessment of shallow landslide susceptibility using artificial neural networks in Jabonosa River Basin, Venezuela
  3. Statistical analysis of landslide susceptibility at Yongin, Korea
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Digital terrain modelling: A review of hydrological, geomorphological, and biological applications
  6. ImageNet: A large-scale hierarchical image database
  7. Landslide hazard evaluation: a review of current techniques and their application in a multi-scale study, Central Italy
  8. 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)
  9. Landslide susceptibility mapping using GIS-based multi-criteria decision analysis, support vector machines, and logistic regression (Landslides)
  10. An assessment on the use of logistic regression and artificial neural networks with different sampling strategies for the preparation of landslide susceptibility maps

Their papers