Hossein Shafizadeh-Moghadam

Publication Activity (10 Years)

Years Active: 2015-2022
Publications (10 Years): 13

Top Topics

Machine Learning

Support Vector Regression

Cellular Automata

Texture Mapping

Top Venues

Comput. Environ. Urban Syst.

Int. J. Appl. Earth Obs. Geoinformation

Comput. Electron. Agric.

Publications

Reza Mirzaeitalarposhti, Hossein Shafizadeh-Moghadam, Ruhollah Taghizadeh-Mehrjardi, Michael Scott Demyan
Digital Soil Texture Mapping and Spatial Transferability of Machine Learning Models Using Sentinel-1, Sentinel-2, and Terrain-Derived Covariates. Remote. Sens. 14 (23) (2022)
Hanieh Shojaei, Saeed Nadi, Hossein Shafizadeh-Moghadam, Amin Tayyebi, John L. van Genderen
An efficient built-up land expansion model using a modified U-Net. Int. J. Digit. Earth 15 (1) (2022)
Maryam Soltanikazemi, Saeid Minaei, Hossein Shafizadeh-Moghadam, Alireza Mahdavian
Field-scale estimation of sugarcane leaf nitrogen content using vegetation indices and spectral bands of Sentinel-2: Application of random forest and support vector regression. Comput. Electron. Agric. 200 (2022)
Hossein Shafizadeh-Moghadam, Roozbeh Valavi, Ali Asghari, Masoud Minaei, Yuji Murayama
On the spatiotemporal generalization of machine learning and ensemble models for simulating built-up land expansion. Trans. GIS 26 (2) (2022)
Hossein Shafizadeh-Moghadam
Fully component selection: An efficient combination of feature selection and principal component analysis to increase model performance. Expert Syst. Appl. 186 (2021)
Hossein Shafizadeh-Moghadam, Masoud Minaei, Robert Gilmore Pontius Jr., Ali Asghari, Hashem Dadashpoor
Integrating a Forward Feature Selection algorithm, Random Forest, and Cellular Automata to extrapolate urban growth in the Tehran-Karaj Region of Iran. Comput. Environ. Urban Syst. 87 (2021)
Hossein Shafizadeh-Moghadam, Masoud Minaei, Himan Shahabi, Julian Hagenauer
Big data in Geohazard; pattern mining and large scale analysis of landslides in Iran. Earth Sci. Informatics 12 (1) (2019)
Hossein Shafizadeh-Moghadam
Improving spatial accuracy of urban growth simulation models using ensemble forecasting approaches. Comput. Environ. Urban Syst. 76 (2019)
Hossein Shafizadeh-Moghadam, Masoud Minaei, Yongjiu Feng, Robert Gilmore Pontius Jr.
GlobeLand30 maps show four times larger gross than net land change from 2000 to 2010 in Asia. Int. J. Appl. Earth Obs. Geoinformation 78 (2019)
Yongjiu Feng, Rong Wang, Xiaohua Tong, Hossein Shafizadeh-Moghadam
How much can temporally stationary factors explain cellular automata-based simulations of past and future urban growth? Comput. Environ. Urban Syst. 76 (2019)
Hossein Shafizadeh-Moghadam, Amin Tayyebi, Mohammad Ahmadlou, Mahmoud Reza Delavar, Mahdi Hasanlou
Integration of genetic algorithm and multiple kernel support vector regression for modeling urban growth. Comput. Environ. Urban Syst. 65 (2017)
Hossein Shafizadeh-Moghadam, Ali Asghari, Amin Tayyebi, Mohammad Taleai
Coupling machine learning, tree-based and statistical models with cellular automata to simulate urban growth. Comput. Environ. Urban Syst. 64 (2017)
Amin Tayyebi, Amir Hossein Tayyebi, Jamal Jokar Arsanjani, Hossein Shafizadeh-Moghadam, Hichem Omrani
FSAUA: A framework for sensitivity analysis and uncertainty assessment in historical and forecasted land use maps. Environ. Model. Softw. 84 (2016)
Hossein Shafizadeh-Moghadam, Julian Hagenauer, Manuchehr Farajzadeh, Marco Helbich
Performance analysis of radial basis function networks and multi-layer perceptron networks in modeling urban change: a case study. Int. J. Geogr. Inf. Sci. 29 (4) (2015)
Hossein Shafizadeh-Moghadam, Marco Helbich
Spatiotemporal variability of urban growth factors: A global and local perspective on the megacity of Mumbai. Int. J. Appl. Earth Obs. Geoinformation 35 (2015)