Concepedia

Mariel Ojeda-Tuz

MO

2

Publications

36

Citations

2

H-Index

2023

Active since

Affiliations

Johns Hopkins University(Current)

University of Florida

Mariel Ojeda-Tuz is an author at Johns Hopkins University specializing in functional data analysis, sensitivity analysis, and engineering.

Top concepts

EngineeringProcess ControlMachine LearningSensitivity AnalysisFunctional Data AnalysisUncertainty Quantification

Publications per year

2023–2024

2

Publications

2

On active learning for Gaussian process-based global sensitivity analysis

Mohit Singh Chauhan, Mariel Ojeda-Tuz, Ryan A. Catarelli et al. · Reliability Engineering & System Safety · 2024 · 23 citations

Engineering, Machine Learning, Uncertainty Quantification +6

Active learning applied to automated physical systems increases the rate of discovery

Michael D. Shields, Kurtis R. Gurley, Ryan A. Catarelli et al. · Scientific Reports · 2023 · 13 citations · Full text

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