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Zahra Zanjani Foumani
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Journal Articles

Unsupervised Anomaly Detection via Nonlinear Manifold Learning

Amin Yousefpour, Mehdi Shishehbor, Zahra Zanjani Foumani, Ramin Bostanabad
Journal: Journal of Computing and Information Science in Engineering
Publisher: ASME
Article Type: Research Papers
J. Comput. Inf. Sci. Eng. November 2024, 24(11): 111008.
Paper No: JCISE-23-1278
https://doi.org/10.1115/1.4063642
Published Online: August 6, 2024
View Article titled, Unsupervised Anomaly Detection via Nonlinear Manifold Learning
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Topics: Manifolds, Errors
Journal Articles

Safeguarding Multi-Fidelity Bayesian Optimization Against Large Model Form Errors and Heterogeneous Noise

Zahra Zanjani Foumani, Amin Yousefpour, Mehdi Shishehbor, Ramin Bostanabad
Journal: Journal of Mechanical Design
Publisher: ASME
Article Type: Research Papers
J. Mech. Des. June 2024, 146(6): 061703.
Paper No: MD-23-1380
https://doi.org/10.1115/1.4064160
Published Online: December 18, 2023
View Article titled, Safeguarding Multi-Fidelity Bayesian Optimization Against Large Model Form Errors and Heterogeneous Noise
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Topics: Design, Noise (Sound), Optimization, Uncertainty quantification, Modeling, Manifolds, Errors, Uncertainty
Includes: Supplementary data
Proceedings Papers

Mitigating the Effects of Source-Dependent Bias and Noise on Multi-Source Bayesian Optimization: Application to Materials Design

Zahra Zanjani Foumani, Amin Yousefpour, Mehdi Shishehbor, Ramin Bostanabad
Proc. ASME. IDETC-CIE2023, Volume 3B: 49th Design Automation Conference (DAC), V03BT03A010, August 20–23, 2023
Publisher: American Society of Mechanical Engineers
Paper No: DETC2023-114414
https://doi.org/10.1115/DETC2023-114414
View Paper titled, Mitigating the Effects of Source-Dependent Bias and Noise on Multi-Source Bayesian Optimization: Application to Materials Design
Open the PDF for Mitigating the Effects of Source-Dependent Bias and Noise on Multi-Source Bayesian Optimization: Application to Materials Design in another window
Topics: Design, Noise (Sound), Optimization