ENN-SA: A novel neuro-annealing model for multi-station drought prediction. - Ali Danandeh Mehr; Babak Vaheddoost; Babak Mohammadi (Comput. Geosci., 2020)

Fast multi-output relevance vector regression for joint groundwater and lake water depth modeling. - Mir Jafar Sadegh Safari; Shervin Rahimzadeh Arashloo; Babak Vaheddoost (Environ. Model. Softw., 2022)

Vertical and Horizontal Water Penetration Velocity Modeling in Nonhomogenous Soil Using Fast Multi-Output Relevance Vector Regression. - Babak Vaheddoost; Shervin Rahimzadeh Arashloo; Mir Jafar Sadegh Safari (Big Data, 2024)

Signature kernel ridge regression time series model: A novel approach for hydrological drought modeling using multi-station meteorological drought information. - Mir Jafar Sadegh Safari; Shervin Rahimzadeh Arashloo; Babak Vaheddoost (Appl. Soft Comput., 2025)

Development of deep learning approaches for drought forecasting: a comparative study in a cold and semi-arid region. - Amin Gharehbaghi; Redvan Ghasemlounia; Babak Vaheddoost; Farshad Ahmadi (Earth Sci. Informatics, 2025)