Mohammad Amin Hariri-Ardebili

According to our database, Mohammad Amin Hariri-Ardebili authored at least 17 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Adaptive Conformal Prediction Intervals Using Data-Dependent Weights With Application to Seismic Response Prediction.

Parisa Hajibabaee, Farhad Pourkamali-Anaraki, Mohammad Amin Hariri-Ardebili

IEEE Access, 2024

2023

A surrogate-assisted stochastic optimization inversion algorithm: Parameter identification of dams.

Yifei Li, Mohammad Amin Hariri-Ardebili, Tongfa Deng, Qingyang Wei, Maosen Cao

Adv. Eng. Informatics, January, 2023

Generalized uncertainty in surrogate models for concrete strength prediction.

Mohammad Amin Hariri-Ardebili, Golsa Mahdavi

Eng. Appl. Artif. Intell., 2023

Evaluating Regression Models with Partial Data: A Sampling Approach.

Farhad Pourkamali-Anaraki, Mohammad Amin Hariri-Ardebili

Proceedings of the 9th International Conference on Control, 2023

2022

An uncertainty-aware dynamic shape optimization framework: Gravity dam design.

Azam Abdollahi, Ali Amini, Mohammad Amin Hariri-Ardebili

Reliab. Eng. Syst. Saf., 2022

Structural uncertainty quantification with partial information.

Mohammad Amin Hariri-Ardebili, Farhad Pourkamali-Anaraki

Expert Syst. Appl., 2022

Machine learning-aided PSDM for dams with stochastic ground motions.

Mohammad Amin Hariri-Ardebili, Siyu Chen, Golsa Mahdavi

Adv. Eng. Informatics, 2022

2021

Call for Special Issue Papers: Big Scientific Data and Machine Learning in Science and Engineering: Deadline for Manuscript Submission: February 1, 2022.

Farhad Pourkamali-Anaraki, Mohammad Amin Hariri-Ardebili, Stephen Becker, Maziar Raissi

Big Data, 2021

Copula-based reliability and sensitivity analysis of aging dams: Adaptive Kriging and polynomial chaos Kriging methods.

Ali Amini, Azam Abdollahi, Mohammad Amin Hariri-Ardebili, Upmanu Lall

Appl. Soft Comput., 2021

Neural Networks and Imbalanced Learning for Data-Driven Scientific Computing With Uncertainties.

Farhad Pourkamali-Anaraki, Mohammad Amin Hariri-Ardebili

IEEE Access, 2021

Kernel Matrix Approximation on Class-Imbalanced Data With an Application to Scientific Simulation.

Parisa Hajibabaee, Farhad Pourkamali-Anaraki, Mohammad Amin Hariri-Ardebili

IEEE Access, 2021

An Empirical Evaluation of the t-SNE Algorithm for Data Visualization in Structural Engineering.

Parisa Hajibabaee, Farhad Pourkamali-Anaraki, Mohammad Amin Hariri-Ardebili

Proceedings of the 20th IEEE International Conference on Machine Learning and Applications, 2021

2020

Engaging soft computing in material and modeling uncertainty quantification of dam engineering problems.

Mohammad Amin Hariri-Ardebili, Fernando Salazar

Soft Comput., 2020

Vibration Anatomy and Damage Detection in Power Transmission Towers with Limited Sensors.

Reza Karami-Mohammadi, Masoud Mirtaheri, Mojtaba Salkhordeh, Mohammad Amin Hariri-Ardebili

Sensors, 2020

Safety and reliability assessment of heterogeneous concrete components in nuclear structures.

Mohammad Amin Hariri-Ardebili

Reliab. Eng. Syst. Saf., 2020

Uncertainty Quantification of Structural Systems with Subset of Data.

Mohammad Amin Hariri-Ardebili, Farhad Pourkamali-Anaraki, Siamak Sattar

CoRR, 2020

Kernel Ridge Regression Using Importance Sampling with Application to Seismic Response Prediction.

Farhad Pourkamali-Anaraki, Mohammad Amin Hariri-Ardebili, Lydia Morawiec

Proceedings of the 19th IEEE International Conference on Machine Learning and Applications, 2020