Výsledky vyhľadávania - statistical quantification methods of comparison of algorithms

  1. 1

    Deeply uncertain: comparing methods of uncertainty quantification in deep learning algorithms Autor Caldeira, João, Nord, Brian

    ISSN: 2632-2153, 2632-2153
    Vydavateľské údaje: Bristol IOP Publishing 01.03.2021
    “…We present a comparison of methods for uncertainty quantification (UQ) in deep learning algorithms in the context of a simple physical system…”
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    Wave reflection quantification based on pressure waveforms alone—Methods, comparison, and clinical covariates Autor Hametner, Bernhard, Wassertheurer, Siegfried, Kropf, Johannes, Mayer, Christopher, Holzinger, Andreas, Eber, Bernd, Weber, Thomas

    ISSN: 0169-2607, 1872-7565, 1872-7565
    Vydavateľské údaje: Kidlington Elsevier Ireland Ltd 01.03.2013
    “…Within the last decade the quantification of pulse wave reflections mainly focused on measures of central aortic systolic pressure and its augmentation through reflections based on pulse wave analysis (PWA…”
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    Comparison of fatty liver index with noninvasive methods for steatosis detection and quantification Autor Zelber-Sagi, Shira, Webb, Muriel, Assy, Nimer, Blendis, Laurie, Yeshua, Hanny, Leshno, Moshe, Ratziu, Vlad, Halpern, Zamir, Oren, Ran, Santo, Erwin

    ISSN: 2219-2840, 2219-2840
    Vydavateľské údaje: United States 07.01.2013
    “…To compare noninvasive methods presently used for steatosis detection and quantification in nonalcoholic fatty liver disease (NAFLD…”
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  4. 4

    Simultaneous Quantification of Metronidazole and Spiramycin by Ultraviolet-Visible Method: Comparison of Wavelength Selection Techniques Autor Luu, Nguyen Duy, Duy, Nguyen Hung Nhat, Quoc, Pham Phu, Khang, Nguyen The, Huyen, Le Thanh, Luyen, Nguyen Dinh, Binh, Tran Thuc

    ISSN: 1061-9348, 1608-3199
    Vydavateľské údaje: Moscow Pleiades Publishing 01.06.2025
    “… . Developing a method for simultaneous quantification of metronidazole ( MTZ ) and spiramycin ( SPI ) that is rapid, accurate, reliable, and cost-effective is imperative…”
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  5. 5

    Comparative study of machine learning and statistical methods for automatic identification and quantification in γ-ray spectrometry Autor Phan, Dinh Triem, Bobin, Jérôme, Thiam, Cheick, Bobin, Christophe

    ISSN: 0168-9002
    Vydavateľské údaje: Elsevier B.V 01.03.2026
    “…During the last decade, a large number of different numerical methods have been proposed to tackle the automatic identification and quantification in γ-ray spectrometry…”
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    Cerebral OEF quantification: A comparison study between quantitative susceptibility mapping and dual‐gas calibrated BOLD imaging Autor Ma, Yuhan, Sun, Hongfu, Cho, Junghun, Mazerolle, Erin L., Wang, Yi, Pike, G. Bruce

    ISSN: 0740-3194, 1522-2594, 1522-2594
    Vydavateľské údaje: United States Wiley Subscription Services, Inc 01.01.2020
    Vydané v Magnetic resonance in medicine (01.01.2020)
    “…‐gas calibrated BOLD imaging (DGC‐BOLD) in healthy subjects. Methods Ten healthy subjects were scanned using a 3T MR system…”
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    Comparison of uncertainty quantification process using statistical and data mining algorithms Autor Chai, W., Saidi, A., Zine, A., Droz, C., You, W., Ichchou, M.

    ISSN: 1615-147X, 1615-1488
    Vydavateľské údaje: Berlin/Heidelberg Springer Berlin Heidelberg 01.02.2020
    “… This paper proposes a visual comparison of these two uncertainty quantification methods, using datasets retrieved from vibroacoustic models…”
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  8. 8

    Elucidating the relationships between two automated handwriting feature quantification systems for multiple pairwise comparisons Autor Fuglsby, Cami, Saunders, Christopher, Ommen, Danica M., Buscaglia, JoAnn, Caligiuri, Michael P.

    ISSN: 0022-1198, 1556-4029, 1556-4029
    Vydavateľské údaje: United States Wiley Subscription Services, Inc 01.03.2022
    Vydané v Journal of forensic sciences (01.03.2022)
    “…Recent advances in complex automated handwriting identification systems have led to a lack of understandability of these systems’ computational processes and…”
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    4D flow MRI velocity uncertainty quantification Autor Rothenberger, Sean M., Zhang, Jiacheng, Markl, Michael, Craig, Bruce A., Vlachos, Pavlos P., Rayz, Vitaliy L.

    ISSN: 0740-3194, 1522-2594, 1522-2594
    Vydavateľské údaje: United States Wiley Subscription Services, Inc 01.01.2025
    Vydané v Magnetic resonance in medicine (01.01.2025)
    “…Purpose An automatic method is presented for estimating 4D flow MRI velocity measurement uncertainty in each voxel…”
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    Motility Mapping Quantification Using the Classical Optical Flow Algorithm for Small Bowel Crohn’s Disease: Comparison with Balloon-assisted Enteroscopy Findings Autor Watanabe, Ryosuke, Tsuchiya, Junichi, Kimura, Koichiro, Fujii, Toshimitsu, Watanabe, Mamoru, Kitazume, Yoshio, Nagahori, Masakazu, Ohtsuka, Kazuo, Takenaka, Kento, Tateishi, Ukihide, Ozawa, Yasuo

    ISSN: 1347-3182, 1880-2206, 1880-2206
    Vydavateľské údaje: Japan Japanese Society for Magnetic Resonance in Medicine 01.01.2023
    “…) and BAE between March and May 2017. We developed computer software to present motion vector magnitudes between consecutive cine MR images as bowel motility maps via a classical optical flow algorithm using the Horn-Schunck method…”
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    Uncertainty quantification for regularized inversion of electromagnetic geophysical data—Part I: motivation and theory Autor Blatter, Daniel, Morzfeld, Matthias, Key, Kerry, Constable, Steven

    ISSN: 0956-540X, 1365-246X
    Vydavateľské údaje: Oxford University Press 25.07.2022
    Vydané v Geophysical journal international (25.07.2022)
    “…SUMMARY We present a method for computing a meaningful uncertainty quantification (UQ…”
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    Evaluating the Impact of Intracranial Volume Correction Approaches on the Quantification of Intracranial Structures in MRI: A Systematic Analysis Autor Hu, Minqi, Lou, Yunxia, Zhu, Caiting, Chen, Jiachen, Liu, Shizhou, Liang, Yongfeng, Liu, Shuwei, Tang, Yuchun

    ISSN: 1053-1807, 1522-2586, 1522-2586
    Vydavateľské údaje: Hoboken, USA John Wiley & Sons, Inc 01.06.2024
    Vydané v Journal of magnetic resonance imaging (01.06.2024)
    “… However, there is currently no standardized method for the correction of intracranial structure measurements…”
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    Bayesian deep convolutional encoder–decoder networks for surrogate modeling and uncertainty quantification Autor Zhu, Yinhao, Zabaras, Nicholas

    ISSN: 0021-9991, 1090-2716
    Vydavateľské údaje: Cambridge Elsevier Inc 01.08.2018
    Vydané v Journal of computational physics (01.08.2018)
    “… A recently introduced variational gradient descent algorithm based on Stein's method is scaled to deep convolutional networks to perform approximate Bayesian inference on millions of uncertain network parameters…”
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    A comparison of two Bayesian approaches for uncertainty quantification Autor Mara, Thierry A., Delay, Frederick, Lehmann, François, Younes, Anis

    ISSN: 1364-8152
    Vydavateľské údaje: Elsevier Ltd 01.08.2016
    “…Statistical calibration of model parameters conditioned on observations is performed in a Bayesian framework by evaluating the joint posterior probability density function (pdf) of the parameters…”
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    A Bayesian framework for performance assessment and comparison of imaging biomarker quantification methods Autor Smith, Brian J, Beichel, Reinhard R

    ISSN: 1477-0334, 1477-0334
    Vydavateľské údaje: England 01.04.2019
    “… of interest in images, and the algorithms that calculate biomarkers from regions. Moreover, these sources may differ within and between the quantification methods employed…”
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    Rapid T 1 quantification from high resolution 3D data with model‐based reconstruction Autor Maier, Oliver, Schoormans, Jasper, Schloegl, Matthias, Strijkers, Gustav J., Lesch, Andreas, Benkert, Thomas, Block, Tobias, Coolen, Bram F., Bredies, Kristian, Stollberger, Rudolf

    ISSN: 0740-3194, 1522-2594
    Vydavateľské údaje: United States 01.03.2019
    Vydané v Magnetic resonance in medicine (01.03.2019)
    “…Magnetic resonance imaging protocols for the assessment of quantitative information suffer from long acquisition times since multiple measurements in a…”
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    Comparison of signal-to-noise, blank determination, and linear regression methods for the estimation of detection and quantification limits for volatile organic compounds by gas chromatography Autor Sanagi, M Marsin, Ling, Susie L, Nasir, Zalilah, Hermawan, Dadan, Ibrahim, Wan Aini Wan, Abu Naim, Ahmedy

    ISSN: 1060-3271
    Vydavateľské údaje: England 01.11.2009
    Vydané v Journal of AOAC International (01.11.2009)
    “…LOD and LOQ are two important performance characteristics in method validation. This work compares three methods based on the International Conference…”
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  18. 18

    Uncertainty quantification for deep neural networks: An empirical comparison and usage guidelines Autor Weiss, Michael, Tonella, Paolo

    ISSN: 0960-0833, 1099-1689
    Vydavateľské údaje: Chichester Wiley Subscription Services, Inc 01.09.2023
    “… properties of learning algorithms, which can provide only statistical warranties. Hence, developers have to cope with some residual error probability…”
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    A comprehensive comparison of RNA-Seq-based transcriptome analysis from reads to differential gene expression and cross-comparison with microarrays: a case study in Saccharomyces cerevisiae Autor Nookaew, Intawat, Papini, Marta, Pornputtapong, Natapol, Scalcinati, Gionata, Fagerberg, Linn, Uhlén, Matthias, Nielsen, Jens

    ISSN: 0305-1048, 1362-4962, 1362-4962
    Vydavateľské údaje: England Oxford University Press 01.11.2012
    Vydané v Nucleic acids research (01.11.2012)
    “…RNA-seq, has recently become an attractive method of choice in the studies of transcriptomes, promising several advantages compared with microarray…”
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    Uncertainty quantification of pollutant source retrieval: comparison of Bayesian methods with application to the Chernobyl and Fukushima Daiichi accidental releases of radionuclides Autor Liu, Y., Haussaire, J.‐M., Bocquet, M., Roustan, Y., Saunier, O., Mathieu, A.

    ISSN: 0035-9009, 1477-870X
    Vydavateľské údaje: Chichester, UK John Wiley & Sons, Ltd 01.10.2017
    “…Inverse modelling of the emissions of atmospheric species and pollutants has significantly progressed over the past 15 years. However, in spite of seemingly…”
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