N. Al‐Ansari

Global and Planetary Change · 2020–2022

A researcher in the Science corpus: 7 papers; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Global and Planetary Change — 67 citations into it
• Artificial Intelligence — 34 citations into it
• Electrical and Electronic Engineering — 14 citations into it
• Atmospheric Science — 8 citations into it
• Control and Systems Engineering — 6 citations into it

Whom N. Al‐Ansari trusts overall

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

1. G. Huang
2. Zhaohua Wu

Papers from N. Al‐Ansari's perspective

Ordered by how strongly the researchers N. Al‐Ansari trusts endorse each paper. Same corpus, a different order for every researcher.

1. The Random Subspace Method for Constructing Decision Forests
2. Random Forests
3. Landslide susceptibility mapping using GIS-based multi-criteria decision analysis, support vector machines, and logistic regression (Landslides)
4. Estimating Attributes: Analysis and Extensions of RELIEF
5. Advantages of the mean absolute error (MAE) over the root mean square error (RMSE) in assessing average model performance
6. Landslide susceptibility modelling using GIS-based machine learning techniques for Chongren County, Jiangxi Province, China. (Science of the Total Environment)
7. Landslide susceptibility mapping using J48 Decision Tree with AdaBoost, Bagging and Rotation Forest ensembles in the Guangchang area (China)
8. Extreme learning machine: Theory and applications
9. Multiple Classifier Systems
10. Assessment of landslide susceptibility for a landslide-prone area (north of Yenice, NW Turkey) by fuzzy approach

Their papers

• Groundwater level prediction using machine learning models: A comprehensive review (2022) — 326 citations
• Influence of Data Splitting on Performance of Machine Learning Models in Prediction of Shear Strength of Soil (2021) — 583 citations
• An Extra Tree Regression Model for Discharge Coefficient Prediction: Novel, Practical Applications in the Hydraulic Sector and Future Research Directions (2021) — 90 citations
• 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
• The Hybridization of Ensemble Empirical Mode Decomposition with Forecasting Models: Application of Short-Term Wind Speed and Power Modeling (2020) — 61 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