Abolfazl Jaafari
Management, Monitoring, Policy and Law · 2018–2021
A researcher in the Science corpus: 4 papers; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Management, Monitoring, Policy and Law — 43 citations into it
- Global and Planetary Change — 37 citations into it
- Mechanical Engineering — 24 citations into it
- Artificial Intelligence — 16 citations into it
Whom Abolfazl Jaafari trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Biswajeet Pradhan
- C. Stone
- Saro Lee
- D. Tien Bui
- Binh Thai Pham
- Vladimir Naumovich Vapni
- Christopher G. Atkeson
- Paraskevas Tsangaratos
Papers from Abolfazl Jaafari's perspective
Ordered by how strongly the researchers Abolfazl Jaafari trusts endorse each paper. Same corpus, a different order for every researcher.
- An assessment on the use of logistic regression and artificial neural networks with different sampling strategies for the preparation of landslide susceptibility maps
- The Nature of Statistical Learning Theory
- Assessment of Landslide Susceptibility by Decision Trees in the Metropolitan Area of Istanbul, Turkey
- Landslide Susceptibility Assessment in Vietnam Using Support Vector Machines, Decision Tree, and Naïve Bayes Models
- Landslide susceptibility mapping using frequency ratio, logistic regression, artificial neural networks and their comparison: A case study from Kat landslides (Tokat - Turkey) (Computational Geosciences)
- Characterising performance of environmental models
- Application of logistic regression model and its validation for landslide susceptibility mapping using GIS and remote sensing data
- Locally Weighted Learning
- A network intrusion detection system based on a Hidden Naïve Bayes multiclass classifier (Expert systems with applications)
- Comparison of a logistic regression and Naïve Bayes classifier in landslide susceptibility assessments: The influence of models complexity and training dataset size
Their papers
- Novel Ensemble Forecasting of Streamflow Using Locally Weighted Learning Algorithm (2021) — 53 citations
- Shallow Landslide Susceptibility Mapping by Random Forest Base Classifier and Its Ensembles in a Semi-Arid Region of Iran (2020) — 108 citations
- A spatially explicit deep learning neural network model for the prediction of landslide susceptibility (2020) — 294 citations
- Spatial Prediction of Rainfall-Induced Landslides Using Aggregating One-Dependence Estimators Classifier (2018) — 97 citations