Sparse kernel regression technique for self-cleansing channel design. - Mir Jafar Sadegh Safari; Shervin Rahimzadeh Arashloo (Adv. Eng. Informatics, 2021)

Kernel ridge regression model for sediment transport in open channel flow. - Mir Jafar Sadegh Safari; Shervin Rahimzadeh Arashloo (Neural Comput. Appl., 2021)

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)

Hybrid models for suspended sediment prediction: optimized random forest and multi-layer perceptron through genetic algorithm and stochastic gradient descent methods. - Saeed Samadianfard; Katayoun Kargar; Sadra Shadkani; Sajjad Hashemi; Akram Abbaspour; Mir Jafar Sadegh Safari (Neural Comput. Appl., 2022)

Stacking ensemble-based hybrid algorithms for discharge computation in sharp-crested labyrinth weirs. - Khabat Khosravi; Mir Jafar Sadegh Safari; Zohreh Sheikh Khozani; Brian Mark Crookston; Ali Golkarian (Soft Comput., 2022)

Hybrid Generalized Regularized Extreme Learning Machine Through Gradient-Based Optimizer Model for Self-Cleansing Nondeposition with Clean Bed Mode of Sediment Transport. - Enes Gul; Mir Jafar Sadegh Safari (Big Data, 2024)

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)

Performance evaluation of machine learning algorithms for the prediction of particle Froude number (Frn) using hyper-parameter optimizations techniques. - Deepti Shakya; Vishal Deshpande; Mir Jafar Sadegh Safari; Mayank Agarwal (Expert Syst. Appl., 2024)

Lq-norm multiple kernel fusion regression for self-cleansing sediment transport. - Mir Jafar Sadegh Safari; Shervin Rahimzadeh Arashloo; Mehrnoush Kohandel Gargari (Artif. Intell. Rev., 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)

S-Transformer: a new deep learning model enhanced by sequential transformer encoders for drought forecasting. - Ali Danandeh Mehr; Amir Aminzadeh Ghavifekr; Elman Ghazaei; Mir Jafar Sadegh Safari; Chang-Qing Ke 001; Vahid Nourani (Earth Sci. Informatics, 2025)