default search action
Mohammad Amin Hariri-Ardebili
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
- [j19]Parisa Hajibabaee
, Farhad Pourkamali-Anaraki
Adaptive Conformal Prediction Intervals Using Data-Dependent Weights With Application to Seismic Response Prediction. IEEE Access 12: 53579-53597 (2024) - [j18]Ali Amini
An automated machine-learning-assisted stochastic-fuzzy multi-criteria decision making tool: Addressing record-to-record variability in seismic design. Appl. Soft Comput. 154: 111354 (2024) - [j17]Golsa Mahdavi, Mohammad Amin Hariri-Ardebili
Kriging, Polynomial Chaos Expansion, and Low-Rank Approximations in Material Science and Big Data Analytics. Big Data 12(4): 270-281 (2024) - [j16]Mohammad Amin Hariri-Ardebili
Utilization of stochastic ground motion simulations for scenario-based performance assessment of geo-structures. Reliab. Eng. Syst. Saf. 251: 110375 (2024) - 2023
- [j15]Yifei Li, Mohammad Amin Hariri-Ardebili
A surrogate-assisted stochastic optimization inversion algorithm: Parameter identification of dams. Adv. Eng. Informatics 55: 101853 (2023) - [j14]Mohammad Amin Hariri-Ardebili
Generalized uncertainty in surrogate models for concrete strength prediction. Eng. Appl. Artif. Intell. 122: 106155 (2023) - [j13]Mohammad Amin Hariri-Ardebili
The role of artificial intelligence and digital technologies in dam engineering: Narrative review and outlook. Eng. Appl. Artif. Intell. 126: 106813 (2023) - [c3]Farhad Pourkamali-Anaraki, Mohammad Amin Hariri-Ardebili:
Evaluating Regression Models with Partial Data: A Sampling Approach. CoDIT 2023: 1882-1887 - 2022
- [j12]Mohammad Amin Hariri-Ardebili
Machine learning-aided PSDM for dams with stochastic ground motions. Adv. Eng. Informatics 52: 101615 (2022) - [j11]Mohammad Amin Hariri-Ardebili
Structural uncertainty quantification with partial information. Expert Syst. Appl. 198: 116736 (2022) - [j10]Azam Abdollahi
An uncertainty-aware dynamic shape optimization framework: Gravity dam design. Reliab. Eng. Syst. Saf. 222: 108402 (2022) - 2021
- [j9]Farhad Pourkamali-Anaraki
Neural Networks and Imbalanced Learning for Data-Driven Scientific Computing With Uncertainties. IEEE Access 9: 15334-15350 (2021) - [j8]Parisa Hajibabaee
Kernel Matrix Approximation on Class-Imbalanced Data With an Application to Scientific Simulation. IEEE Access 9: 83579-83591 (2021) - [j7]Ali Amini
Copula-based reliability and sensitivity analysis of aging dams: Adaptive Kriging and polynomial chaos Kriging methods. Appl. Soft Comput. 109: 107524 (2021) - [j6]Farhad Pourkamali-Anaraki, Mohammad Amin Hariri-Ardebili, Stephen Becker, Maziar Raissi:
Call for Special Issue Papers: Big Scientific Data and Machine Learning in Science and Engineering: Deadline for Manuscript Submission: February 1, 2022. Big Data 9(4): 326-327 (2021) - [j5]Farhad Pourkamali-Anaraki, Mohammad Amin Hariri-Ardebili, Stephen Becker, Maziar Raissi:
Call for Special Issue Papers: Big Scientific Data and Machine Learning in Science and Engineering: Deadline for Manuscript Submission: February 1, 2022. Big Data 9(5): 404-405 (2021) - [j4]Farhad Pourkamali-Anaraki, Mohammad Amin Hariri-Ardebili, Stephen Becker, Maziar Raissi:
Call for Special Issue Papers: Big Scientific Data and Machine Learning in Science and Engineering: Deadline for Manuscript Submission: February 1, 2022. Big Data 9(6): 409-410 (2021) - [c2]Parisa Hajibabaee, Farhad Pourkamali-Anaraki, Mohammad Amin Hariri-Ardebili:
An Empirical Evaluation of the t-SNE Algorithm for Data Visualization in Structural Engineering. ICMLA 2021: 1674-1680 - [i3]Parisa Hajibabaee, Farhad Pourkamali-Anaraki, Mohammad Amin Hariri-Ardebili:
An Empirical Evaluation of the t-SNE Algorithm for Data Visualization in Structural Engineering. CoRR abs/2109.08795 (2021) - 2020
- [j3]Mohammad Amin Hariri-Ardebili
Safety and reliability assessment of heterogeneous concrete components in nuclear structures. Reliab. Eng. Syst. Saf. 203: 107104 (2020) - [j2]Reza Karami-Mohammadi
Vibration Anatomy and Damage Detection in Power Transmission Towers with Limited Sensors. Sensors 20(6): 1731 (2020) - [j1]Mohammad Amin Hariri-Ardebili
Engaging soft computing in material and modeling uncertainty quantification of dam engineering problems. Soft Comput. 24(15): 11583-11604 (2020) - [c1]Farhad Pourkamali-Anaraki, Mohammad Amin Hariri-Ardebili, Lydia Morawiec:
Kernel Ridge Regression Using Importance Sampling with Application to Seismic Response Prediction. ICMLA 2020: 511-518 - [i2]Mohammad Amin Hariri-Ardebili, Farhad Pourkamali-Anaraki, Siamak Sattar:
Uncertainty Quantification of Structural Systems with Subset of Data. CoRR abs/2008.04382 (2020) - [i1]Farhad Pourkamali-Anaraki, Mohammad Amin Hariri-Ardebili, Lydia Morawiec:
Kernel Ridge Regression Using Importance Sampling with Application to Seismic Response Prediction. CoRR abs/2009.09136 (2020)
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-10-04 19:57 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by: