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A Unified Benchmarking Platform for UQ Algorithms in UQLab

• Authors : Hlobilová, Adéla; Marelli, Stefano; id_orcid:0 000-0002-9268-9014

Subjects: UQLab; Benchmarking; Surrogate models

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3DIdentBox: A Toolbox for Identifiability Benchmarking

• Authors : Bizeul, Alice; Daunhawer, Imant; Palumbo, Emanuele

Subjects: Multi-view learning; Identifiability Benchmarking; Causal Representation Learning

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Benchmarking solutions of the Folgar-Tucker-Equation and its reduction to a linear problem for non-linear closure forms

• Authors : Winters, Arturo; id_orcid:0 000-0003-2087-5122; Papenfuss, Christina

Subjects: Fiber suspension; Folgar–Tucker equation; Analytical solution

• Source: Journal of Non-Newtonian Fluid Mechanics, 310

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Building Better Models: Benchmarking Feature Extraction and Matching for Structure from Motion at Construction Sites

• Authors : Cueto Zumaya, Carlos Roberto; Catalano, Iacopo; Peña Queralta, Jorge

Subjects: structure from motion; benchmark; feature extraction

• Source: Remote Sensing, 16 (16)

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Full-scale modal testing of a Hawk T1A aircraft for benchmarking vibration-based methods

• Authors : Haywood-Alexander, Marcus; id_orcid:0 000-0003-3384-2346; Mills, Robin S.

Subjects: Modal testing; Hawk T1A; Full-scale dynamic testing

• Source: Journal of Sound and Vibration, 576

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SimReadUntil for benchmarking selective sequencing algorithms on ONT devices

• Authors : Mordig, Maximilian; Rätsch, Gunnar; id_orcid:0 000-0001-5486-8532

• Source: Bioinformatics, 40 (5)

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Benchmarking the ACEnano Toolbox for Characterisation of Nanoparticle Size and Concentration by Interlaboratory Comparisons

• Authors : Peters, Ruud; Elbers, Ingrid; Undas, Anna

Subjects: Nanomaterials; Analysis; Benchmarking

• Source: Molecules, 26 (17)

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The peppermint breath test: a benchmarking protocol for breath sampling and analysis using GC–MS

• Authors : Wilkinson, Maxim; White, Iain; Hamshere, Katie

Subjects: standardisation; breathomics; peppermint

• Source: Journal of Breath Research, 15 (2)

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Benchmarking Regression Models Under Spatial Heterogeneity

• Authors : Wiedemann, Nina; Martin, Henry; id_orcid:0 000-0002-0456-8539 ...

Subjects: Spatial machine learning; Spatial non-stationarity; Geographically weighted regression

• Source: Leibniz International Proceedings in Informatics (LIPIcs), 277 ; 12th International Conference on Geographic Information Science (GIScience 2023)

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Measuring the microbiome: Best practices for developing and benchmarking microbiomics methods

• Authors : Bokulich, Nicholas; id_orcid:0 000-0002-1784-8935; Ziemski, Michal

Subjects: Microbiome; Benchmarking; Software Development

• Source: Computational and Structural Biotechnology Journal, 18

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