T. K. Hembram
Global and Planetary Change · 2019–2021
A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Global and Planetary Change — 15 citations into it
- Management, Monitoring, Policy and Law — 10 citations into it
Whom T. K. Hembram trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from T. K. Hembram's perspective
Ordered by how strongly the researchers T. K. Hembram trusts endorse each paper. Same corpus, a different order for every researcher.
- Spatial prediction models for shallow landslide hazards: a comparative assessment of the efficacy of support vector machines, artificial neural networks, kernel logistic regression, and logistic… (Landslides)
- The measurement of observer agreement for categorical data.
- Landslide hazard evaluation: a review of current techniques and their application in a multi-scale study, Central Italy
- 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)
- Landslide susceptibility mapping using GIS-based multi-criteria decision analysis, support vector machines, and logistic regression (Landslides)
- Landslide susceptibility modelling using GIS-based machine learning techniques for Chongren County, Jiangxi Province, China. (Science of the Total Environment)
- An assessment on the use of logistic regression and artificial neural networks with different sampling strategies for the preparation of landslide susceptibility maps
- Correlation-based Feature Selection for Machine Learning
- Probabilistic reasoning in intelligent systems: Networks of plausible inference
- A GIS-based comparative study of frequency ratio, statistical index and weights-of-evidence models in landslide susceptibility mapping (Arabian Journal of Geosciences)
Their papers
- Hybrid ensemble machine learning approaches for landslide susceptibility mapping using different sampling ratios at East Sikkim Himalayan, India (2021) — 93 citations
- Application of the GIS-Based Probabilistic Models for Mapping the Flood Susceptibility in Bansloi Sub-basin of Ganga-Bhagirathi River and Their Comparison (2019) — 113 citations