Ataollah Shirzadi

Management, Monitoring, Policy and Law · 2017–2020

A researcher in the Science corpus: 15 papers; trusts 17 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Management, Monitoring, Policy and Law — 136 citations into it
• Global and Planetary Change — 131 citations into it; #5,318 of 10,225 by trust here, #1,170 by citations
• Artificial Intelligence — 62 citations into it
• Mechanical Engineering — 59 citations into it
• Safety, Risk, Reliability and Quality — 47 citations into it
• Evaluation & Benchmarks — 14 citations into it
• Statistical Learning Theory — 11 citations into it
• Optimization & Training — 10 citations into it

Whom Ataollah Shirzadi trusts overall

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

1. Biswajeet Pradhan
2. D. Tien Bui
3. Himan Shahabi
4. Wei Chen
5. Binh Thai Pham
6. Leo Breiman
7. Haoyuan Hong
8. Khabat Khosravi
9. Vladimir Naumovich Vapnik
10. Tin Kam Ho

Who trusts Ataollah Shirzadi overall

1. Himan Shahabi
2. D. Tien Bui
3. Khabat Khosravi

Papers from Ataollah Shirzadi's perspective

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

1. 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)
2. Landslide susceptibility mapping using GIS-based multi-criteria decision analysis, support vector machines, and logistic regression (Landslides)
3. Landslide susceptibility modelling using GIS-based machine learning techniques for Chongren County, Jiangxi Province, China. (Science of the Total Environment)
4. Landslide hazard evaluation: a review of current techniques and their application in a multi-scale study, Central Italy
5. 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)
6. Assessment of landslide susceptibility for a landslide-prone area (north of Yenice, NW Turkey) by fuzzy approach
7. The meaning and use of the area under a receiver operating characteristic (ROC) curve.
8. Delineation of landslide hazard areas on Penang Island, Malaysia, by using frequency ratio, logistic regression, and artificial neural network models
9. The Random Subspace Method for Constructing Decision Forests
10. Statistical Comparisons of Classifiers over Multiple Data Sets

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 Hybrid Intelligence Approach to Enhance the Prediction Accuracy of Local Scour Depth at Complex Bridge Piers (2020) — 84 citations
• Shallow Landslide Susceptibility Mapping by Random Forest Base Classifier and Its Ensembles in a Semi-Arid Region of Iran (2020) — 108 citations
• Flood Detection and Susceptibility Mapping Using Sentinel-1 Remote Sensing Data and a Machine Learning Approach: Hybrid Intelligence of Bagging Ensemble Based on K-Nearest Neighbor Classifier (2020) — 334 citations
• A comparative assessment of flood susceptibility modeling using Multi-Criteria Decision-Making Analysis and Machine Learning Methods (2019) — 629 citations
• New Ensemble Models for Shallow Landslide Susceptibility Modeling in a Semi-Arid Watershed (2019) — 114 citations
• Flood susceptibility mapping at Ningdu catchment, China using bivariate and data mining techniques (2019) — 48 citations
• Spatial prediction of landslide susceptibility by combining evidential belief function, logistic regression and logistic model tree (2019) — 121 citations
• Flood susceptibility assessment in Hengfeng area coupling adaptive neuro-fuzzy inference system with genetic algorithm and differential evolution. (2018) — 389 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
• A novel ensemble approach of bivariate statistical-based logistic model tree classifier for landslide susceptibility assessment (2018) — 115 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