Kamran Chapi

Global and Planetary Change · 2017–2020

A researcher in the Science corpus: 9 papers; trusts 4 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Global and Planetary Change — 78 citations into it; #6,699 of 10,225 by trust here, #1,905 by citations
• Management, Monitoring, Policy and Law — 74 citations into it
• Mechanical Engineering — 29 citations into it
• Optimization & Training — 5 citations into it

Whom Kamran Chapi trusts overall

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

1. D. Tien Bui
2. Biswajeet Pradhan
3. Binh Thai Pham
4. Himan Shahabi
5. Tin Kam Ho
6. Igor Kononenko
7. Rohan Shah
8. Leo Breiman

Who trusts Kamran Chapi overall

1. Himan Shahabi
2. Ataollah Shirzadi
3. D. Tien Bui
4. Khabat Khosravi

Papers from Kamran Chapi's perspective

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

1. Landslide susceptibility mapping using GIS-based multi-criteria decision analysis, support vector machines, and logistic regression (Landslides)
2. Landslide susceptibility modelling using GIS-based machine learning techniques for Chongren County, Jiangxi Province, China. (Science of the Total Environment)
3. The Random Subspace Method for Constructing Decision Forests
4. Assessment of landslide susceptibility for a landslide-prone area (north of Yenice, NW Turkey) by fuzzy approach
5. Groundwater qanat potential mapping using frequency ratio and Shannon’s entropy models in the Moghan watershed, Iran (Earth Science Informatics)
6. Landslide susceptibility mapping using J48 Decision Tree with AdaBoost, Bagging and Rotation Forest ensembles in the Guangchang area (China)
7. A Review of Risk Perceptions and Other Factors that Influence Flood Mitigation Behavior (Risk Analysis)
8. Influence of uncertain boundary conditions and model structure on flood inundation predictions.
9. Statistical Comparisons of Classifiers over Multiple Data Sets
10. Measuring the accuracy of diagnostic systems.

Their papers

• Comparison of Support Vector Machine, Bayesian Logistic Regression, and Alternating Decision Tree Algorithms for Shallow Landslide Susceptibility Mapping along a Mountainous Road in the West of Iran (2020) — 84 citations
• A comparative assessment of flood susceptibility modeling using Multi-Criteria Decision-Making Analysis and Machine Learning Methods (2019) — 629 citations
• A novel artificial intelligence approach based on Multi-layer Perceptron Neural Network and Biogeography-based Optimization for predicting coefficient of consolidation of soil (2019) — 180 citations
• Flood susceptibility mapping at Ningdu catchment, China using bivariate and data mining techniques (2019) — 48 citations
• Novel forecasting approaches using combination of machine learning and statistical models for flood susceptibility mapping. (2018) — 336 citations
• A comparative assessment of decision trees algorithms for flash flood susceptibility modeling at Haraz watershed, northern Iran. (2018) — 676 citations
• Mapping Groundwater Potential Using a Novel Hybrid Intelligence Approach (2018) — 184 citations
• Landslide susceptibility assessment at the Wuning area, China: a comparison between multi-criteria decision making, bivariate statistical and machine learning methods (2018) — 121 citations
• A novel hybrid artificial intelligence approach for flood susceptibility assessment (2017) — 561 citations