Saeid Janizadeh

发表

Flash Flood Susceptibility Modeling Using New Approaches of Hybrid and Ensemble Tree-Based Machine Learning Algorithms

Asish Saha, Amirhosein Mosavi, Shahab S. Band, 2020, Remote. Sens..

GIS-Based Machine Learning Algorithms for Gully Erosion Susceptibility Mapping in a Semi-Arid Region of Iran

Wei Chen, Romulus Costache, Amir Mosavi, 2020, Remote. Sens..

Landslide Susceptibility Survey Using Modeling Methods

Saeid Janizadeh, Hamid Reza Moradi, Mohammad T. Avand, 2019, Spatial Modeling in GIS and R for Earth and Environmental Sciences.

Novel Ensemble Approach of Deep Learning Neural Network (DLNN) Model and Particle Swarm Optimization (PSO) Algorithm for Prediction of Gully Erosion Susceptibility

Asish Saha, Amirhosein Mosavi, Saeid Janizadeh, 2020, Sensors.

Shallow landslide susceptibility mapping: A comparison between classification and regression tree and reduced error pruning tree algorithms

Binh Thai Pham, Saeid Janizadeh, Bahareh Ghasemain, 2020, VIETNAM JOURNAL OF EARTH SCIENCES.

Forest Fire Susceptibility Prediction Based on Machine Learning Models with Resampling Algorithms on Remote Sensing Data

Bahareh Kalantar, Saeid Janizadeh, Mohammed Oludare Idrees, 2020, Remote. Sens..

Comparison of Machine Learning Methods for Mapping the Stand Characteristics of Temperate Forests Using Multi-Spectral Sentinel-2 Data

Bahareh Kalantar, Saeid Janizadeh, Vahideh Saeidi, 2020, Remote. Sens..

A tree-based intelligence ensemble approach for spatial prediction of potential groundwater

Dieu Tien Bui, Phuong-Thao Thi Ngo, Saeid Janizadeh, 2020, Int. J. Digit. Earth.

Comparative Analysis of Artificial Intelligence Models for Accurate Estimation of Groundwater Nitrate Concentration

Saeid Janizadeh, Subodh Chandra Pal, Manouchehr Shokri, 2020, Sensors.

Novel Bayesian Additive Regression Tree methodology for flood susceptibility modeling

Zoran Kapelan, Saeid Janizadeh, Mehdi Vafakhah, 2021 .

Application of artificial neural network and adaptive neuro-fuzzy inference system in streamflow forecasting

Saeid Janizadeh, Mehdi Vafakhah, 2021, Advances in Streamflow Forecasting.

Deep Neural Network Utilizing Remote Sensing Datasets for Flood Hazard Susceptibility Mapping in Brisbane, Australia

Naonori Ueda, Bahareh Kalantar, Saeid Janizadeh, 2021, Remote. Sens..

Applying different resampling strategies in machine learning models to predict head-cut gully erosion susceptibility

Amir Mosavi, Saeid Janizadeh, Subodh Chandra Pal, 2021 .

Evaluation efficiency of hybrid deep learning algorithms with neural network decision tree and boosting methods for predicting groundwater potential

Adrienn Dineva, Asish Saha, Saeid Janizadeh, 2021, Geocarto International.

Evaluation of various boosting ensemble algorithms for predicting flood hazard susceptibility areas

Quoc Bao Pham, Duong Tran Anh, Saeid Janizadeh, 2021, Geomatics, Natural Hazards and Risk.

Predicting landslide susceptibility based on decision tree machine learning models under climate and land use changes

Quoc Bao Pham, Duong Tran Anh, Asish Saha, 2021, Geocarto International.

Improvement of Best First Decision Trees Using Bagging and Dagging Ensembles for Flood Probability Mapping

Romulus Costache, Biswajeet Pradhan, Binh Thai Pham, 2020, Water Resources Management.

GIS Based Hybrid Computational Approaches for Flash Flood Susceptibility Assessment

Nadhir Al-Ansari, Binh Thai Pham, Saeid Janizadeh, 2020, Water.

GIS-Based Gully Erosion Susceptibility Mapping: A Comparison of Computational Ensemble Data Mining Models

Wei Chen, John J. Clague, Himan Shahabi, 2020, Applied Sciences.