Kernel Ridge Regression Using Importance Sampling with Application to Seismic Response Prediction. - Farhad Pourkamali-Anaraki; Mohammad Amin Hariri-Ardebili; Lydia Morawiec (ICMLA, 2020)

Uncertainty Quantification of Structural Systems with Subset of Data. - Mohammad Amin Hariri-Ardebili; Farhad Pourkamali-Anaraki; Siamak Sattar (CoRR, 2020)

Safety and reliability assessment of heterogeneous concrete components in nuclear structures. - Mohammad Amin Hariri-Ardebili (Reliab. Eng. Syst. Saf., 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)

Engaging soft computing in material and modeling uncertainty quantification of dam engineering problems. - Mohammad Amin Hariri-Ardebili; Fernando Salazar (Soft Comput., 2020)

An Empirical Evaluation of the t-SNE Algorithm for Data Visualization in Structural Engineering. - Parisa Hajibabaee; Farhad Pourkamali-Anaraki; Mohammad Amin Hariri-Ardebili (ICMLA, 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)

Neural Networks and Imbalanced Learning for Data-Driven Scientific Computing With Uncertainties. - Farhad Pourkamali-Anaraki; Mohammad Amin Hariri-Ardebili (IEEE Access, 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)

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)

Machine learning-aided PSDM for dams with stochastic ground motions. - Mohammad Amin Hariri-Ardebili; Siyu Chen 003; Golsa Mahdavi (Adv. Eng. Informatics, 2022)

Structural uncertainty quantification with partial information. - Mohammad Amin Hariri-Ardebili; Farhad Pourkamali-Anaraki (Expert Syst. Appl., 2022)

An uncertainty-aware dynamic shape optimization framework: Gravity dam design. - Azam Abdollahi; Ali Amini; Mohammad Amin Hariri-Ardebili (Reliab. Eng. Syst. Saf., 2022)

Evaluating Regression Models with Partial Data: A Sampling Approach. - Farhad Pourkamali-Anaraki; Mohammad Amin Hariri-Ardebili (CoDIT, 2023)

Generalized uncertainty in surrogate models for concrete strength prediction. - Mohammad Amin Hariri-Ardebili; Golsa Mahdavi (Eng. Appl. Artif. Intell., 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, 2023)

The role of artificial intelligence and digital technologies in dam engineering: Narrative review and outlook. - Mohammad Amin Hariri-Ardebili; Golsa Mahdavi; Larry K. Nuss; Upmanu Lall (Eng. Appl. Artif. Intell., 2023)

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)

An automated machine-learning-assisted stochastic-fuzzy multi-criteria decision making tool: Addressing record-to-record variability in seismic design. - Ali Amini; Azam Abdollahi; Mohammad Amin Hariri-Ardebili (Appl. Soft Comput., 2024)

Kriging, Polynomial Chaos Expansion, and Low-Rank Approximations in Material Science and Big Data Analytics. - Golsa Mahdavi; Mohammad Amin Hariri-Ardebili (Big Data, 2024)

Utilization of stochastic ground motion simulations for scenario-based performance assessment of geo-structures. - Mohammad Amin Hariri-Ardebili; Sanaz Rezaeian (Reliab. Eng. Syst. Saf., 2024)